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browsing, coding, and file work to agents.","Happycapy AI Reviews: Use Cases, Pricing & Alternatives","audio","freemium",[311,312,313,314,315,316,317,318],"Happycapy AI Reviews: Use Cases, Pricing & Alternatives Home AI Tools Newsletter Resources Free Claude Course Newsletter Archive AI Agents AI Innovations AI Tutorials AI Automations 101 Login Join For Free Home > AI Tool > Happycapy happycapy","Pricing Model: Freemium , $20\u002Fmo Follow: twitter youtube 6 Visit Site What is happycapy happycapy Reviews happycapy Alternatives Updated 08\u002F05\u002F2026 Featured AI Tools","Unlock AI Mastery Instant Access to 20+ Premium AI Courses 500+ In-Depth Training Videos 5500+ Expert-Crafted Prompts New Content Added Weekly Taught by leading AI educator Saj Adib Start Learning For Free Did you find this content helpful?","Advertiser Disclosure: Futurepedia.io is committed to rigorous editorial standards to provide our users with accurate and helpful content. To keep our site free, we may receive compensation when you click some links on our site.","Free Claude Course Best AI Art Generators Best AI Image Generators Best AI Chatbots Best AI Text Generators Best AI 3D Generators All Resources Skill Leap Company","About Us Contact Us Submit a Tool Update a Tool Login Editorial Guidelines Sign up for free Linkedin Twitter YouTube TikTok Instagram Facebook © 2026 Futurepedia LLC. All rights reserved.","Costs can grow with heavy workloads: Compute intensive or long running projects will quickly move beyond the free credits.","Free: $0 per month; includes limited Claude Code access, limited MiniMax M2.5 access, limited AI model access via skills, basic sandbox environment, custom skill creation, and compatibility with open-source skills. Pro: $20 per month; includes everything in Free, plus 2,000 monthly Claude Code credits, expanded access to 150+ AI models via skills, unlimited MiniMax M2.5 access, 2 cores with 4GB RAM and 50GB storage, recurring task automation, and CapyMail email access. Max: $200 per month; includes everything in Pro, plus unlimited Claude Code access, unlimited access to 150+ AI models via skills, 4 cores with 8GB RAM and 200GB storage, increased automations and email quota, early iOS app access, agent teams with GUI (research preview), and priority human support.",[320,318,321],"Privacy Policy HubSpot Website Terms of Use What is happycapy?","Accuracy and Reliability: 4.4\u002F5 Ease of Use: 4.2\u002F5 Functionality and Features: 4.6\u002F5 Performance and Speed: 4.3\u002F5 Customization and Flexibility: 4.5\u002F5 Data Privacy and Security: 4.2\u002F5 Support and Resources: 4.0\u002F5 Cost-Efficiency: 4.1\u002F5 Integration Capabilities: 3.8\u002F5 Overall Score: 4.2\u002F5",[323,324,325,326,327,328,329,330,331,332],"Promote happycapy","What is happycapy?","Key Features:","Pros","Cons","Who is Using happycapy?","Pricing:","What Makes happycapy Unique?","How We Rated It:","Agent-native Computing for Everyday Builders:",[],[335,336,337,338,339,340,341,342],"Niskie tarcie startu: działa w przeglądarce i na telefonie bez instalacji","Wysoka przejrzystość: użytkownik widzi, co robi agent","Dobre dla pracy z kodem i zadaniami wieloetapowymi","Skaluje się od pojedynczych użytkowników do małych zespołów","Low setup friction","Developer friendly capabilities","Good transparency","Scales from tinkering to teams",[344,345,346,347,348,349],"Koszty mogą szybko rosnąć przy ciężkich zadaniach i dużym zużyciu kredytów","Praca w przeglądarce wymaga stałej łączności i nie jest dobra offline","Dla osób nietechnicznych może być potrzebna nauka pojęć: agenty, skills i sandbox","Costs can grow with heavy workloads","Best with constant connectivity","Conceptual learning curve",[351,354,357,360,362,363,366,369,372,375,378,381,384,387,390],{"url":352,"text":353},"https:\u002F\u002Fhappycapy.ai\u002F?utm_source=futurepedia&utm_medium=marketplace&utm_campaign=futurepedia","",{"url":355,"text":356},"https:\u002F\u002Fx.com\u002Fhappycapyai","twitter",{"url":358,"text":359},"https:\u002F\u002Fwww.youtube.com\u002F@happycapyai","youtube",{"url":352,"text":361},"Visit Site",{"url":352,"text":353},{"url":364,"text":365},"https:\u002F\u002Fskillleap.futurepedia.io\u002F?utm_source=futurepedia.io&utm_medium=toolpage_banner&utm_campaign=skillleap_home","Start Learning For Free",{"url":367,"text":368},"https:\u002F\u002Fskillleap.futurepedia.io\u002F?utm_source=futurepedia.io&utm_medium=footer&utm_campaign=skillleap_link","Skill Leap",{"url":370,"text":371},"https:\u002F\u002Fwww.linkedin.com\u002Fcompany\u002Ffuturepedia","Linkedin",{"url":373,"text":374},"https:\u002F\u002Fx.com\u002Ffuturepedia_io","Twitter",{"url":376,"text":377},"https:\u002F\u002Fwww.youtube.com\u002F@futurepedia_io","YouTube",{"url":379,"text":380},"https:\u002F\u002Fwww.tiktok.com\u002F@futurepediaio","TikTok",{"url":382,"text":383},"https:\u002F\u002Fwww.instagram.com\u002Ffuturepedia_io\u002F","Instagram",{"url":385,"text":386},"https:\u002F\u002Fwww.facebook.com\u002Ffuturepediadotio\u002F","Facebook",{"url":388,"text":389},"https:\u002F\u002Flegal.hubspot.com\u002Fprivacy-policy","Privacy Policy",{"url":391,"text":392},"https:\u002F\u002Flegal.hubspot.com\u002Fwebsite-terms-of-use","HubSpot Website Terms of Use",[394,395,396,397,398],{"url":352,"text":353},{"url":352,"text":361},{"url":352,"text":353},{"url":364,"text":365},{"url":367,"text":368},[400,401],{"url":388,"text":389},{"url":391,"text":392},"Happycapy AI Reviews: Use Cases, Pricing & Alternatives Home AI Tools Newsletter Resources Free Claude Course Newsletter Archive AI Agents AI Innovations AI Tutorials AI Automations 101 Login Join For Free Home > AI Tool > Happycapy happycapy\nRated 0 out of 5 (0) Delegate browsing, coding, and file work to agents.\nAI Categories: AI agents \nPricing Model: Freemium , $20\u002Fmo Follow: twitter youtube 6 Visit Site What is happycapy happycapy Reviews happycapy Alternatives Updated 08\u002F05\u002F2026 Featured AI Tools\nUnlock AI Mastery Instant Access to 20+ Premium AI Courses 500+ In-Depth Training Videos 5500+ Expert-Crafted Prompts New Content Added Weekly Taught by leading AI educator Saj Adib Start Learning For Free Did you find this content helpful?\nRate as helpful Rate as not helpful Promote happycapy\nFeatured on Futurepedia 6 Copy Embed Code Write a review Related Categories\nhappycapy alternatives\nAdvertiser Disclosure: Futurepedia.io is committed to rigorous editorial standards to provide our users with accurate and helpful content. To keep our site free, we may receive compensation when you click some links on our site.\nCategories\nProductivity Tools Image Generators Text Generators Video Tools Art Generators Audio Generators All AI Tools Resources\nFree Claude Course Best AI Art Generators Best AI Image Generators Best AI Chatbots Best AI Text Generators Best AI 3D Generators All Resources Skill Leap Company\nAbout Us Contact Us Submit a Tool Update a Tool Login Editorial Guidelines Sign up for free Linkedin Twitter YouTube TikTok Instagram Facebook © 2026 Futurepedia LLC. All rights reserved.\nPrivacy Policy HubSpot Website Terms of Use What is happycapy?\nhappycapy is an agent-native computer that runs in the browser and on mobile, giving developers a virtual desktop where AI agents can actually use a computer. Instead of just chatting, agents can browse, code, manipulate files, and run multi step workflows inside a secure cloud sandbox. The product targets developers, technical founders, and ambitious knowledge workers who want to delegate real work to Claude Code–style agents without touching complex terminals or infrastructure.\nKey Features:\nAgent-native browser desktop: Live graphical desktop where users can watch agents work, inspect windows, and step in with clicks or keystrokes when needed. Secure cloud sandbox: Isolated environment per user or session, with controlled filesystem and visible resource usage for safer code execution. Claude Code centric agents: Deep-context AI coding support powered by Claude Code and other high end models for refactors, debugging, and complex analysis. Skill based workflows: Modular “skills” that extend agents with new tools, data sources, or workflows, which can be combined into richer automations. Templates and built in tools: Ready made templates, simple database and UI elements so users can assemble mini apps and workflows inside the same workspace. \nPros\nLow setup friction: Runs in a browser or phone, removing installs, CLIs, and infrastructure configuration.\nDeveloper friendly capabilities: Strong support for coding tasks, repo work, and multi agent debugging in one visual environment.\nGood transparency: Users can see exactly what agents are doing on the desktop, which builds trust and makes correction easier.\nScales from tinkering to teams: Parallel agent execution and reusable skills help solo developers and small teams share workflows.\nCons\nCosts can grow with heavy workloads: Compute intensive or long running projects will quickly move beyond the free credits.\nBest with constant connectivity: Browser based access is not ideal for offline work or highly restricted networks.\nConceptual learning curve: Non technical users may need time to grasp agents, skills, and sandboxes, even with the friendly GUI.\nWho is Using happycapy?\nSoftware Developers and Engineers: Offload scaffolding, refactors, test writing, and exploratory coding to agents in a controlled environment. Startup Founders and Indie Hackers: Prototype products, run competitor research, and wire together tools without building their own infra. Product, Ops, and Data Teams: Automate reporting, QA checks, data cleaning, and back office workflows that used to live in spreadsheets and scripts. Designers and Creative Professionals: Generate marketing visuals, decks, and content while agents handle repetitive layout or asset prep work. Uncommon Use Cases: Used by educators to demonstrate agent based computing in lab settings; adopted by solo consultants to build reusable, client specific automations without maintaining custom servers. \nPricing:\nFree: $0 per month; includes limited Claude Code access, limited MiniMax M2.5 access, limited AI model access via skills, basic sandbox environment, custom skill creation, and compatibility with open-source skills. Pro: $20 per month; includes everything in Free, plus 2,000 monthly Claude Code credits, expanded access to 150+ AI models via skills, unlimited MiniMax M2.5 access, 2 cores with 4GB RAM and 50GB storage, recurring task automation, and CapyMail email access. Max: $200 per month; includes everything in Pro, plus unlimited Claude Code access, unlimited access to 150+ AI models via skills, 4 cores with 8GB RAM and 200GB storage, increased automations and email quota, early iOS app access, agent teams with GUI (research preview), and priority human support. \nDisclaimer: Please note that pricing information may not be up to date. For the most accurate and current pricing details, refer to the official happycapy website.\nWhat Makes happycapy Unique?\nhappycapy leans fully into the idea of a “computer for your agents” rather than a simple chat UI. The live desktop view, secure sandboxing, and skill system make it feel closer to a remote development box that happens to be driven by AI. Skills behave like plug in capabilities that agents can combine, so one workflow can research, transform data, and ship assets without leaving the environment. For developers who want more than a code editor chatbot, that is a pretty cool proposition.\nHow We Rated It:\nAccuracy and Reliability: 4.4\u002F5 Ease of Use: 4.2\u002F5 Functionality and Features: 4.6\u002F5 Performance and Speed: 4.3\u002F5 Customization and Flexibility: 4.5\u002F5 Data Privacy and Security: 4.2\u002F5 Support and Resources: 4.0\u002F5 Cost-Efficiency: 4.1\u002F5 Integration Capabilities: 3.8\u002F5 Overall Score: 4.2\u002F5 \nAgent-native Computing for Everyday Builders:\nhappycapy offers a focused take on AI agents by giving them a proper “computer” to work on, complete with a visual desktop, sandboxed resources, and modular skills. It suits developers and technical teams who want powerful agents without wrestling with terminals or self hosted stacks, yet still need visibility and control over what those agents do. For anyone curious about moving beyond plain chatbots into genuine agent workflows, this tool sits in a very interesting sweet spot of power, safety, and approachability.","2026-08-09T00:08:48.944Z",200,"text\u002Fhtml; charset=utf-8","93432fd1e2b360ded3426b61ef5296ecd0aaa6ef5f4948319c8b903303eda4c6","data\u002Fcatalog\u002Fcache\u002Ffuturepedia\u002Fe1949ea68878df583d04f83ea99a55447e042b87038556c587bba386a30b8eda.html",true,"human_verified","https:\u002F\u002Fhappycapy.ai","unknown",[],"Brak jednoznacznie wskazanego regionu; dane mogą być przechowywane poza Twoją jurysdykcją","Nie używa Inputów ani Outputów do trenowania zewnętrznych modeli AI bez wyraźnej zgody; może używać zagregowanych, zanonimizowanych danych do ulepszania usługi","Futurepedia: 0\u002F5",[417,418,419,420,421,422,423,424,425,426,427,428,429,430,431],"Agent-native browser desktop z podglądem pracy agenta","Bezpieczny, izolowany cloud sandbox","Uruchamianie Claude Code w przeglądarce","GUI dla użytkowników nietechnicznych","Skills jako modułowe rozszerzenia funkcji","Automatyzacje cykliczne","Obsługa maili przez CapyMail \u002F dostarczanie wyników do skrzynki e-mail","Obsługa wielu modeli AI przez skills","Kompatybilność z open-source skills","Agent teams z GUI (w planie Max, research preview)","Agent-native browser desktop with live graphical interface","Secure cloud sandbox per user\u002Fsession with controlled filesystem","Claude Code-centric AI coding support","Modular skills system for extending agent capabilities","Templates and built-in tools for assembling mini apps\u002Fworkflows","Limited Claude Code access, limited MiniMax M2.5 access, limited AI model access via skills, basic sandbox environment, custom skill creation, compatibility with open-source skills",[434,435,436,437],"Model Context Protocol (MCP)","Open-source skills ecosystem","HubSpot","Slack",[411],[440,441,442,443,444,445,347,348,349],"Brak jednoznacznie opisanego publicznego API","Brak potwierdzonego wsparcia języka polskiego","Nie podano jednoznacznie regionu przechowywania danych","Nie jest self-hosted; działa w zarządzanym chmurze","Wyniki modeli mogą zawierać błędy i wymagają weryfikacji","Nie należy używać do tworzenia konkurencyjnych modeli AI ani obchodzić limitów użycia",[447,448,449,450,451,452,453,454],"Claude Code","Grok 4.5","Haiku 4.5","MiniMax M2.5","MiniMax M2.7","Sonnet 5","Anthropic","OpenAI","Nie wykazano",[457,463,468,472,476,479,485,488],{"plan_name":458,"access_model":411,"price":459,"currency":460,"billing_period":461,"included_usage":462,"trial_days":411,"card_required":411,"source_evidence":411},"Free","$0","USD","Monthly","250 credits per month; basic sandbox; Claude model access; basic models access via skills; custom skill creation; compatibility with open-source skills",{"plan_name":464,"access_model":411,"price":465,"currency":460,"billing_period":466,"included_usage":467,"trial_days":411,"card_required":411,"source_evidence":411},"Pro","$20 monthly \u002F $17 annually","Monthly \u002F Annually","2,000 credits per month; sandbox upgrade: 2 cores, 4GB RAM, 50GB storage; access to frontier models; advanced models access via skills; 3 automations; CapyMail access with 200 email quota",{"plan_name":469,"access_model":411,"price":470,"currency":460,"billing_period":466,"included_usage":471,"trial_days":411,"card_required":411,"source_evidence":411},"Plus","$50 monthly \u002F $42 annually","5,000 credits per month; sandbox upgrade: 2 cores, 4GB RAM, 50GB storage; 5 automations total; 2,000 email quota total",{"plan_name":473,"access_model":411,"price":474,"currency":460,"billing_period":466,"included_usage":475,"trial_days":411,"card_required":411,"source_evidence":411},"Max","$200 monthly \u002F $167 annually","22,000 credits per month; sandbox upgrade: 4 cores, 8GB RAM, 200GB storage; 10 automations total; 5,000 email quota total; early access to iOS app; agent teams with GUI (research preview); priority human support",{"plan_name":477,"access_model":411,"price":411,"currency":411,"billing_period":411,"included_usage":478,"trial_days":411,"card_required":411,"source_evidence":411},"Team","Flexible plans for teams of all sizes, from startups to enterprise",{"plan_name":458,"access_model":480,"price":481,"currency":411,"billing_period":482,"included_usage":483,"trial_days":411,"card_required":411,"source_evidence":484},"Freemium","0 per month","monthly","Limited Claude Code access, limited MiniMax M2.5 access, limited AI model access via skills, basic sandbox environment, custom skill creation, and compatibility with open-source skills","pricing evidence from Futurepedia",{"plan_name":464,"access_model":480,"price":486,"currency":411,"billing_period":482,"included_usage":487,"trial_days":411,"card_required":411,"source_evidence":484},"20 per month","Everything in Free, plus 2,000 monthly Claude Code credits, expanded access to 150+ AI models via skills, unlimited MiniMax M2.5 access, 2 cores with 4GB RAM and 50GB storage, recurring task automation, and CapyMail email access",{"plan_name":473,"access_model":480,"price":489,"currency":411,"billing_period":482,"included_usage":490,"trial_days":411,"card_required":411,"source_evidence":484},"200 per month","Everything in Pro, plus unlimited Claude Code access, unlimited access to 150+ AI models via skills, 4 cores with 8GB RAM and 200GB storage, increased automations and email quota, early iOS app access, agent teams with GUI (research preview), and priority human support","Dostępny jest plan Free za $0 oraz płatne plany Pro, Plus i Max z rozliczeniem miesięcznym i rocznym (2 miesiące gratis przy płatności rocznej). Start cenowy to $0; najtańszy płatny plan zaczyna się od $17\u002Fmies. rocznie lub $20\u002Fmies. miesięcznie.","Oficjalna polityka prywatności Happycapy wskazuje, że dane mogą być przenoszone i przechowywane poza Twoją jurysdykcją. Happycapy nie używa Inputów ani Outputów do trenowania zewnętrznych modeli AI bez wyraźnej zgody. Może wykorzystywać zagregowane i zanonimizowane dane do ulepszania usługi.","2026-01-20",[],"Happycapy to browserowy agent-native computer dla użytkowników, którzy chcą delegować browsing, coding i pracę na plikach agentom. Oficjalna strona opisuje go jako prywatny sandbox z GUI, skills i dostarczaniem wyników do e-maila; pricing page potwierdza darmowy plan oraz płatne Pro\u002FPlus\u002FMax\u002FTeam. Polityka prywatności Happycapy dostępna na happycapy.ai potwierdza brak trenowania zewnętrznych modeli bez zgody oraz możliwość użycia zanonimizowanych danych do ulepszania usługi. Nie znaleziono wiarygodnego dowodu na publiczne API, self-hosting, obsługę języka polskiego ani jednoznaczny region przechowywania danych.","Happycapy deklaruje izolowany prywatny sandbox, zarządzane środowisko chmurowe i ograniczenia dla niebezpiecznych danych wejściowych. W AI Terms wskazano też, że wyniki mogą zawierać błędy i powinny być weryfikowane przed użyciem.","Nie; produkt działa w zarządzanym środowisku chmurowym","Agent-native computer w przeglądarce i na telefonie, który pozwala delegować przeglądanie stron, kodowanie i pracę na plikach agentom AI.","$0\u002Fmonth",[501,502,503,504,505],"Web browser","iOS","Mobile","browser","mobile",[507,508,509,510,511,512,513,514,515],"Software developers and engineers","Startup founders and indie hackers","Product, ops and data teams","Designers and creative professionals","Solo consultants","Educators","developers","technical founders","knowledge workers",[517,518,519,520,521,522,523,524,525],"Browsing and research automation","Coding, refactors and debugging","Praca na plikach i generowanie raportów","Automatyzacja powtarzalnych zadań","Tworzenie stron, decków i materiałów marketingowych","Monitorowanie cen i competitor research","delegating browsing","coding","file work","Happycapy","published","2026-08-12T18:20:25.867Z",[530,531,532,533],"OpenClaw","n8n","GitHub Copilot","Manus AI",{"checked_at":528,"ready":408,"failed":535},[],"Nieznana kategoria: automatyzacja\u002Fworkflow (auto-fix)","```markdown\n# **HappyCapy – AI Agent do automatyzacji przeglądania, kodowania i pracy na plikach**\n\n## **1. Krótki lead**\n**HappyCapy** to innowacyjne narzędzie AI działające w przeglądarce i na telefonie, które pozwala delegować żmudne zadania – od przeglądania stron, przez kodowanie, po obróbkę plików – inteligentnym agentom. To rozwiązanie dla developerów, badaczy i profesjonalistów, którzy chcą zaoszczędzić czas i zautomatyzować powtarzalne czynności.\n\n---\n\n## **2. Najważniejsze funkcje**\nHappyCapy wyróżnia się kilkoma kluczowymi możliwościami:\n\n- **Agent-native browser** – wbudowana przeglądarka desktopowa z podglądem pracy agenta, która umożliwia monitorowanie działań AI w czasie rzeczywistym.\n- **Bezpieczny, izolowany cloud sandbox** – środowisko chronione przed wyciekami danych, idealne do testowania kodu lub przetwarzania wrażliwych plików.\n- **Uruchamianie Claude Code w przeglądarce** – integracja z zaawansowanym modelem AI do generowania, debugowania i refaktorowania kodu bez konieczności lokalnej instalacji.\n- **GUI dla użytkowników nietechnicznych** – intuicyjny interfejs, który nie wymaga znajomości programowania, umożliwiający korzystanie z agentów za pomocą prostych komend.\n- **Modułowe \"Skills\"** – rozszerzenia funkcjonalności (np. do analizy danych, generowania raportów czy automatyzacji badań), które można dostosowywać do indywidualnych potrzeb.\n\n---\n\n## **3. Dla kogo jest HappyCapy?**\nNarzędzie sprawdzi się w przypadku:\n✅ **Developerów** – do automatyzacji debugowania, refaktoryzacji kodu czy generowania fragmentów aplikacji.\n✅ **Badaczy i analityków** – do zbierania, przetwarzania i analizy danych z wielu źródeł (np. scrapowanie stron, tworzenie raportów).\n✅ **Freelancerów i małych zespołów** – jako wsparcie w zarządzaniu plikami, automatyzacji powtarzalnych zadań (np. konwersja formatów, edycja dokumentów).\n✅ **Osób nietechnicznych** – dzięki prostemu interfejsowi GUI, który nie wymaga umiejętności programistycznych.\n✅ **Firm szukających optymalizacji** – do delegowania rutinowych procesów (np. monitorowanie konkurencji, aktualizacja baz danych).\n\n---\n\n## **4. Cena**\nHappyCapy działa w modelu **freemium** z następującymi opcjami:\n\n- **Plan Free ($0\u002Fmies.)**:\n  - Ograniczony dostęp do modeli **Claude Code** i **MiniMax M2.5**.\n  - Podstawowe środowisko sandbox.\n  - Możliwość tworzenia własnych \"Skills\" i korzystania z open-source’owych rozszerzeń.\n\n- **Plany płatne** (rozliczenie miesięczne lub roczne z **2 miesiącami gratis** przy opcji rocznej):\n  - **Pro** – od **$17\u002Fmies.** (rocznie) lub **$20\u002Fmies.** (miesięcznie).\n  - **Plus** i **Max** – wyższe limity, zaawansowane modele AI i priorytetowe wsparcie (ceny dostępne na [stronie narzędzia](https:\u002F\u002Fhappycapy.com)).\n\n---\n## **5. Zalety i wady**\n\n### **✅ Zalety**\n- **Wysoka automatyzacja** – agenty potrafią samodzielnie przeglądać strony, kodować i przetwarzać pliki, oszczędzając czas użytkownika.\n- **Bezpieczeństwo** – izolowane środowisko sandbox minimalizuje ryzyko wycieku danych lub błędów w kodzie.\n- **Elastyczność** – modułowe \"Skills\" pozwalają dostosować narzędzie do specyficznych potrzeb (np. integracja z API, obsługa niestandardowych formatów plików).\n\n### **❌ Wady**\n- **Ograniczenia darmowego planu** – dostęp tylko do podstawowych modeli AI i funkcji, co może być niewystarczające dla zaawansowanych użytkowników.\n- **Krzywa uczenia** – mimo intuicyjnego GUI, pełne wykorzystanie potencjału narzędzia (np. tworzenie własnych \"Skills\") może wymagać czasu.\n- **Brak transparentnych cen** – dokładne koszty planów **Plus** i **Max** nie są podane publicznie, co utrudnia porównanie.\n\n---\n\n## **6. Werdykt**\nHappyCapy to **potężne narzędzie dla wszystkich, którzy chcą zautomatyzować pracę z kodem, danymi lub plikami**, łączące wygodę AI z bezpieczeństwem izolowanego środowiska. **Warto wypróbować darmowy plan**, aby ocenić, czy spełnia indywidualne potrzeby – szczególnie że płatne opcje są konkurencyjne cenowo. Dla developerów i zespołów szukających optymalizacji może okazać się **game-changerem**, choć wymaga nieco czasu na opanowanie zaawansowanych funkcji.\n```",{"source_page_url":304,"final_url":304,"fetched_at":403},{"alternatives_count":184,"active_deals":184},[],[],{"data":543,"_meta":1066,"alternatives":1067,"deals":1068},{"source":544,"source_key":545,"source_page_url":546,"name":547,"slug":548,"description":549,"title":550,"category":308,"access_model":551,"pricing_evidence":552,"capability_evidence":574,"headings":584,"breadcrumbs":606,"pros":607,"cons":618,"external_links":625,"affiliate_links":679,"official_link_candidates":690,"text_excerpt":701,"fetched_at":702,"final_url":546,"http_status":404,"content_type":405,"content_hash":703,"cache_file":704,"published":408,"verification_status":409,"official_url":641,"official_evidence":705,"vendor":547,"entity_type":968,"short_description":969,"free_summary":970,"trial_summary":411,"pricing_summary":971,"starting_price":411,"pricing_plans":972,"polish_support":455,"api_available":973,"self_hosted":973,"privacy_summary":411,"data_training":411,"data_region":411,"gdpr":411,"security_summary":974,"supported_platforms":975,"languages":978,"integrations":979,"features":989,"blog_titles":1019,"research_links":1020,"research_summary":1021,"model_names":1022,"license":1025,"release_date":1026,"external_rating":411,"target_users":1027,"use_cases":1035,"limitations":1050,"status":527,"last_verified_at":1057,"alternatives":1058,"quality":1061,"category_v3":171,"category_v3_reason":1063,"deep_card":1064,"deep_card_generated":408,"category_v3_main":161,"category_v3_label":172,"category_v3_main_label":162,"_category_fixed":408,"evidence":1065},"aitools.fyi","aitools","https:\u002F\u002Faitools.fyi\u002Fagents-flex","Agents-Flex","agents-flex","Agents-Flex is a lightweight Java framework for building AI agents and multimodal applications. It wraps chat, image, speech, video, embedding, rerank, to...","Agents-Flex Pricing, Reviews, Alternatives - AI Model Generation","open_source",[553,554,555,556,557,558,559,560,561,562,563,564,565,566,567,568,569,570,571,572,573],"Is Agents-Flex free to use?","Free Tags:","Submit Best Free Agents-Flex Alternatives (and Paid)","Model Generation Freemium Plumb","Model Generation Freemium Civitai","Model Generation Free ForgeFluencer","Model Generation Freemium ZenPrompts","Model Generation Freemium mshumer\u002Fgpt-prompt-engineer - GitHub","Model Generation Freemium Versy.ai","Model Generation Freemium ParsersVC","Model Generation Freemium MindStudio","Model Generation Freemium Viso Suite","Model Generation Freemium GPT Clone offers a unique platform where you can create digital clones of various personas including psychologists, relationship experts, well-known figur...","Model Generation Freemium Plumb is an innovative, no-code visual programming tool designed exclusively for SaaS teams focused on creating AI-driven features and products. It simpli...","Model Generation Free Civitai is a platform that makes it easy for people to share and discover resources for creating AI art. Our users can upload and share custom models that...","Model Generation Freemium ForgeFluencer is the ultimate platform for effortlessly creating and managing AI influencers and anime characters, providing users with an intuitive and u...","Model Generation Freemium ZenPrompts is a cutting-edge platform designed to empower prompt engineers in the creation, refinement, testing, and sharing of sophisticated prompts for ...","Model Generation Freemium The GitHub repository \"mshumer\u002Fgpt-prompt-engineer\" is designed as a tool to optimize and streamline the process of prompt engineering for AI models. By e...","Model Generation Freemium Versy.ai offers the transformative capability to convert text prompts into interactive virtual experiences through its advanced Generative AI technology, ...","Model Generation Freemium ParsersVC is a powerful platform that serves as the \"Tinder for Venture Capital\". Whether you're a startup looking for funding or an investor seeking prom...","Model Generation Freemium MindStudio makes it easy to create any AI for any purpose (with zero code): predictive apps, recommendation tools, enterprise apps, AI assistants, and mor...",[575,576,577,578,579,580,581,582,572,583],"Agents-Flex is a lightweight Java framework for building AI agents and multimodal applications. It wraps chat, image, speech, video, embedding, rerank, tool calling, Skills, sandbox execution, RAG, and agent orchestration behind shared Java APIs so teams can ship production systems without stitching together separate SDKs.","Top Features: Connect chat models from OpenAI, Qwen, DeepSeek, Moonshot, Ollama, and other vendors through one ChatModel API with sync or streaming calls","Pros: Apache 2.0 open source with a Maven BOM so you only pull the modules you need.","One Java API surface spans chat, tools, RAG, image, speech, video, and agent orchestration.","Agents-Flex is an open-source Java framework for building AI agents and multimodal applications. It unifies access to large language models, image and video generation, speech APIs, tool calling, RAG, and agent orchestration.","Yes. Agents-Flex is released under the Apache 2.0 license. You install it via Maven or Gradle and bring your own model API keys or cloud credentials.","Java framework AI agents LLM applications function calling RAG MCP Skills multimodal AI Text2SQL OpenTelemetry vector store Apache License OpenAI streaming API Tech used:","ParsersVC is a powerful platform that serves as the \"Tinder for Venture Capital\". Whether you're a startup looking for funding or an investor seeking prom...","Find Best AI Tools That Make Your Life Easy! Made with ❤️ by   Rishit Home Advertise with us Trending Top AI Tools Recently added Blog Deals Categories Tags Technologies Creators Submit a tool Submit a blog post Contact us Terms Privacy Product Hunt Amazing Newsletters © 2026 aitools.fyi. All rights reserved. By Rishit By Rishit Patel",[585,586,587,588,589,553,590,591,592,586,329,593,594,587,588,595,596,597,598,599,600,601,602,603,604,605,596,597,598,599,600,601,602,603,604,605],"Invoice Mama","Category:","Reviews:","Join thousands of AI enthusiasts in the World of AI!","What is Agents-Flex?","What Java version does Agents-Flex require?","Can Agents-Flex run inside Spring Boot or other Java frameworks?","Does Agents-Flex support multimodal outputs beyond text chat?","Tags:","Tech used:","Best Free Agents-Flex Alternatives (and Paid)","Viso Suite","GPT Clone","Plumb","Civitai","ForgeFluencer","ZenPrompts","mshumer\u002Fgpt-prompt-engineer - GitHub","Versy.ai","ParsersVC","MindStudio",[],[608,609,610,611,612,613,614,615,616,617],"Lekki framework Java do budowy agentów AI i aplikacji multimodalnych.","Szeroki zakres możliwości: chat, image, speech, video, embeddings, rerank, tool calling, RAG i orchestration.","Oficjalnie wspiera MCP, Skills i obserwowalność.","Ma wsparcie dla lokalnych modeli przez Ollama.","Open source na licencji Apache-2.0.","Apache 2.0 open source license","Unified Java API across multiple modalities (chat, image, speech, video, etc.)","Modular design via Maven BOM — pull only needed modules","Supports sync and streaming APIs consistently","Integrates with major LLM providers via OpenAI-compatible APIs",[619,620,621,622,623,624],"Nie znaleziono oficjalnych informacji o cenach, planach lub trialu.","Brak oficjalnej polityki prywatności oraz jasnych informacji o regionie przechowywania danych.","Brak zewnętrznej oceny\u002Fratingu w zebranych źródłach.","Requires users to bring their own model API keys or cloud credentials","Java-only framework (no native support for other languages)","Documentation and examples may assume familiarity with Java ecosystem (Maven\u002FGradle)",[626,629,632,634,635,637,640,642,643,645,647,649,651,653,655,657,659,661,663,664,665,666,667,668,669,670,671,672,673,676],{"url":627,"text":628},"https:\u002F\u002Fworldofai.beehiiv.com\u002F?utm_source=aitools.fyi&utm_medium=referral&utm_campaign=aitools.fyi","Newsletter",{"url":630,"text":631},"https:\u002F\u002Fboostmytool.com\u002Fsubmit-my-tool","Submit a tool",{"url":630,"text":633},"Submit",{"url":627,"text":628},{"url":636,"text":353},"https:\u002F\u002Fagentsflex.com\u002F?ref=aitools.fyi&utm_source=aitools.fyi",{"url":638,"text":639},"https:\u002F\u002Fwww.invoicemama.com\u002F?ref=aitools.fyi&utm_source=aitools.fyi&utm_campaign=aitools.fyi&utm_medium=sponsorship","Premium Invoice Mama\nInvoicing that brings you faster payments! 💸",{"url":641,"text":353},"https:\u002F\u002Fgithub.com\u002Fagents-flex\u002Fagents-flex",{"url":636,"text":547},{"url":644,"text":353},"https:\u002F\u002Fviso.ai\u002F?ref=aitools.fyi&utm_source=aitools.fyi",{"url":646,"text":353},"https:\u002F\u002Fgptclone.ai\u002F?ref=aitools.fyi&utm_source=aitools.fyi",{"url":648,"text":353},"https:\u002F\u002Fuseplumb.com\u002F?ref=aitools.fyi&utm_source=aitools.fyi",{"url":650,"text":353},"https:\u002F\u002Fcivitai.com\u002F?ref=aitools.fyi&utm_source=aitools.fyi",{"url":652,"text":353},"https:\u002F\u002Fwww.forgefluencer.com\u002F?ref=aitools.fyi&utm_source=aitools.fyi",{"url":654,"text":353},"https:\u002F\u002Fwww.zenprompts.ai\u002F?ref=aitools.fyi&utm_source=aitools.fyi",{"url":656,"text":353},"https:\u002F\u002Fgithub.com\u002Fmshumer\u002Fgpt-prompt-engineer?ref=aitools.fyi&utm_source=aitools.fyi",{"url":658,"text":353},"https:\u002F\u002Fwww.versy.ai\u002F?ref=aitools.fyi&utm_source=aitools.fyi",{"url":660,"text":353},"https:\u002F\u002Fparsers.vc\u002F?ref=aitools.fyi&utm_source=aitools.fyi",{"url":662,"text":353},"https:\u002F\u002Fyouai.ai\u002Fmindstudio?ref=aitools.fyi&utm_source=aitools.fyi",{"url":644,"text":353},{"url":646,"text":353},{"url":648,"text":353},{"url":650,"text":353},{"url":652,"text":353},{"url":654,"text":353},{"url":656,"text":353},{"url":658,"text":353},{"url":660,"text":353},{"url":662,"text":353},{"url":674,"text":675},"https:\u002F\u002Ftwitter.com\u002Fimrishit98","Rishit",{"url":677,"text":678},"https:\u002F\u002Ftally.so\u002Fr\u002F3jb99x","Submit a blog post",[680,681,682,683,684,685,686,687,688,689],{"url":627,"text":628},{"url":627,"text":628},{"url":636,"text":353},{"url":638,"text":639},{"url":636,"text":547},{"url":644,"text":353},{"url":646,"text":353},{"url":648,"text":353},{"url":650,"text":353},{"url":652,"text":353},[691,692,693,694,695,696,697,698,699,700],{"url":630,"text":631},{"url":630,"text":633},{"url":641,"text":353},{"url":654,"text":353},{"url":656,"text":353},{"url":658,"text":353},{"url":660,"text":353},{"url":662,"text":353},{"url":654,"text":353},{"url":656,"text":353},"Agents-Flex Pricing, Reviews, Alternatives - AI Model Generation Deals ⭐️ Get Featured Blog Newsletter en en Login Submit a tool Submit Deals ⭐️ Get Featured Blog Newsletter Login en Home Agents Flex Premium Invoice Mama\nInvoicing that brings you faster payments! 💸 Last updated 07-19-2026\nUpvote 0 Category:\nModel Generation Copy embed code Reviews:\nGive your opinion on Agents-Flex :-\nOverall rating\nShare this: Share this: Join thousands of AI enthusiasts in the World of AI!\nSubmit Agents-Flex\nAgents-Flex is a lightweight Java framework for building AI agents and multimodal applications. It wraps chat, image, speech, video, embedding, rerank, tool calling, Skills, sandbox execution, RAG, and agent orchestration behind shared Java APIs so teams can ship production systems without stitching together separate SDKs.\nThe framework draws on ideas from LangChain and LlamaIndex but stays framework-agnostic: you can drop it into Spring, Quarkus, Micronaut, Servlet apps, or plain Java. Provider-specific request formats sit behind ChatClient and ChatRequestSpecBuilder abstractions, which makes it straightforward to add new model vendors or swap between OpenAI, Qwen, DeepSeek, Moonshot, Ollama, and domestic Chinese cloud services.\nAgents-Flex targets engineers who need more than a demo chatbot. The docs cover ReAct and routing agents, MCP integrations, Text2SQL, WebSearch, vector stores, OpenTelemetry observability, retry and circuit-breaker policies, and isolated Skill runtimes for local or remote sandbox execution.\nTop Features: Connect chat models from OpenAI, Qwen, DeepSeek, Moonshot, Ollama, and other vendors through one ChatModel API with sync or streaming calls\nExpose Java methods, MCP servers, Skills, and subagents to agents using ReAct, routing, and tool-calling patterns\nRun RAG pipelines with document loaders, vector stores, rerankers, WebSearch, and hierarchical LLM Wiki navigation\nGenerate images, synthesize speech, transcribe audio, and queue async video jobs behind the same Java interfaces\nShip with OpenTelemetry tracing, model routing, retries, and sandboxed Skill execution for production workloads\nPros: Apache 2.0 open source with a Maven BOM so you only pull the modules you need.\nOne Java API surface spans chat, tools, RAG, image, speech, video, and agent orchestration.\nBuilt-in OpenTelemetry hooks cover model and tool calls without custom instrumentation code.\nCons: You need Java 8+ and Maven or Gradle fluency before the quick start makes sense.\nMost documentation is written in Chinese, which slows onboarding for English-only teams.\nFAQs: What is Agents-Flex?\nAgents-Flex is an open-source Java framework for building AI agents and multimodal applications. It unifies access to large language models, image and video generation, speech APIs, tool calling, RAG, and agent orchestration.\nIs Agents-Flex free to use?\nYes. Agents-Flex is released under the Apache 2.0 license. You install it via Maven or Gradle and bring your own model API keys or cloud credentials.\nWhat Java version does Agents-Flex require?\nAgents-Flex requires Java 8 or higher. The getting started guide assumes familiarity with Maven or Gradle for dependency management.\nCan Agents-Flex run inside Spring Boot or other Java frameworks?\nYes. The framework is not tied to a specific web stack. Documentation states it works in Spring, Quarkus, Micronaut, Servlet environments, or standalone Java projects.\nDoes Agents-Flex support multimodal outputs beyond text chat?\nYes. Agents-Flex includes modules for image generation, text-to-speech, speech-to-text, and async video generation, each exposed through dedicated Java model interfaces.\nCategory:\nModel Generation Pricing:\nFree Tags:\nJava framework AI agents LLM applications function calling RAG MCP Skills multimodal AI Text2SQL OpenTelemetry vector store Apache License OpenAI streaming API Tech used:\nVue.js GitHub Reviews:\nGive your opinion on Agents-Flex :-\nOverall rating\nJoin thousands of AI enthusiasts in the World of AI!\nSubmit Best Free Agents-Flex Alternatives (and Paid)\nViso Suite\nViso Suite is an enterprise visual intelligence platform from viso.ai for building, deploying, and operating computer vision applications across cameras, ...\nModel Generation Paid GPT Clone\nGPT Clone offers a unique platform where you can create digital clones of various personas including psychologists, relationship experts, well-known figur...\nModel Generation Freemium Plumb\nPlumb is an innovative, no-code visual programming tool designed exclusively for SaaS teams focused on creating AI-driven features and products. It simpli...\nModel Generation Freemium Civitai\nCivitai is a platform that makes it easy for people to share and discover resources for creating AI art. Our users can upload and share custom models that...\nModel Generation Free ForgeFluencer\nForgeFluencer is the ultimate platform for effortlessly creating and managing AI influencers and anime characters, providing users with an intuitive and u...\nModel Generation Freemium ZenPrompts\nZenPrompts is a cutting-edge platform designed to empower prompt engineers in the creation, refinement, testing, and sharing of sophisticated prompts for ...\nModel Generation Freemium mshumer\u002Fgpt-prompt-engineer - GitHub\nThe GitHub repository \"mshumer\u002Fgpt-prompt-engineer\" is designed as a tool to optimize and streamline the process of prompt engineering for AI models. By e...\nModel Generation Freemium Versy.ai\nVersy.ai offers the transformative capability to convert text prompts into interactive virtual experiences through its advanced Generative AI technology, ...\nModel Generation Freemium ParsersVC\nParsersVC is a powerful platform that serves as the \"Tinder for Venture Capital\". Whether you're a startup looking for funding or an investor seeking prom...\nModel Generation Freemium MindStudio\nMindStudio makes it easy to create any AI for any purpose (with zero code): predictive apps, recommendation tools, enterprise apps, AI assistants, and mor...\nModel Generation Freemium Viso Suite\nModel Generation Paid Viso Suite is an enterprise visual intelligence platform from viso.ai for building, deploying, and operating computer vision applications across cameras, ... \nGPT Clone\nModel Generation Freemium GPT Clone offers a unique platform where you can create digital clones of various personas including psychologists, relationship experts, well-known figur... \nPlumb\nModel Generation Freemium Plumb is an innovative, no-code visual programming tool designed exclusively for SaaS teams focused on creating AI-driven features and products. It simpli... \nCivitai\nModel Generation Free Civitai is a platform that makes it easy for people to share and discover resources for creating AI art. Our users can upload and share custom models that... \nForgeFluencer\nModel Generation Freemium ForgeFluencer is the ultimate platform for effortlessly creating and managing AI influencers and anime characters, providing users with an intuitive and u... \nZenPrompts\nModel Generation Freemium ZenPrompts is a cutting-edge platform designed to empower prompt engineers in the creation, refinement, testing, and sharing of sophisticated prompts for ... \nmshumer\u002Fgpt-prompt-engineer - GitHub\nModel Generation Freemium The GitHub repository \"mshumer\u002Fgpt-prompt-engineer\" is designed as a tool to optimize and streamline the process of prompt engineering for AI models. By e... \nVersy.ai\nModel Generation Freemium Versy.ai offers the transformative capability to convert text prompts into interactive virtual experiences through its advanced Generative AI technology, ... \nParsersVC\nModel Generation Freemium ParsersVC is a powerful platform that serves as the \"Tinder for Venture Capital\". Whether you're a startup looking for funding or an investor seeking prom... \nMindStudio\nModel Generation Freemium MindStudio makes it easy to create any AI for any purpose (with zero code): predictive apps, recommendation tools, enterprise apps, AI assistants, and mor... \nFind Best AI Tools That Make Your Life Easy! Made with ❤️ by   Rishit Home Advertise with us Trending Top AI Tools Recently added Blog Deals Categories Tags Technologies Creators Submit a tool Submit a blog post Contact us Terms Privacy Product Hunt Amazing Newsletters © 2026 aitools.fyi. All rights reserved. By Rishit By Rishit Patel","2026-08-09T00:11:37.942Z","b603e9d99b5407aa8224a9ecfb79d15dc4417364a071ae3f010d83bab73fdb6b","data\u002Fcatalog\u002Fcache\u002Faitools\u002F41b2bbdf18572e9540145b77d4cd970571ed0792bd28b7f3ef089e6bc48917cd.html",{"url":641,"final_url":641,"status":404,"fetched_at":706,"content_hash":707,"title":708,"description":709,"headings":710,"pricing_evidence":747,"privacy_evidence":750,"capability_evidence":754,"text_excerpt":764,"linked_pages":765,"research_links":957,"blog_titles":965,"use_case_evidence":966,"feature_evidence":967},"2026-08-09T00:50:24.476Z","d72a6bb847b12ae7efda40c1749a0a0263fa6d4481ed0f5aab4cc1d0945003f3","GitHub - agents-flex\u002Fagents-flex: Agents-flex is A lightweight Java AI agent development framework (positioned as a counterpart to Spring AI). It supports features such as RAG, MCP, Skills, Text2SQL , LLM Wiki, Sub-agents, Web Search, TTS (synchronous and streaming), and STT. · GitHub","Agents-flex is A lightweight Java AI agent development framework (positioned as a counterpart to Spring AI). It supports features such as RAG, MCP, Skills, Text2SQL , LLM Wiki, Sub-agents, Web Search, TTS (synchronous and streaming), and STT. - agents-flex\u002Fagents-flex",[711,712,713,714,715,716,717,547,718,719,720,721,722,723,724,725,726,727,728,729,730,731,732,733,734,735,736,737,738,739,740,741,742,743,734,744,745,746],"Navigation Menu","Uh oh!","Folders and files","Latest commit","History","Repository files navigation","English | 简体中文","Highlights","Modules","Requirements","Installation","Quick Start","Tool Calling","Agents And Orchestration","RAG And Knowledge Bases","LLM Wiki","MCP, Skills, And Text2SQL","Model Routing And Observability","Spring Boot","Repository Structure","Local Build","Documentation","License","Contributors","About","Topics","Resources","Stars","Watchers","Forks","Releases","Packages","Used by","Languages","Footer","Footer navigation",[748,749],"Sign in Appearance settings Platform AI CODE CREATION GitHub Copilot Write better code with AI GitHub Copilot app Direct agents from issue to merge MCP Registry Integrate external tools DEVELOPER WORKFLOWS Actions Automate any workflow Codespaces Instant dev environments Issues Plan and track work Code Review Manage code changes Code Quality Enforce quality at merge APPLICATION SECURITY GitHub Advanced Security Find and fix vulnerabilities Code security Secure your code as you build Secret protection Stop leaks before they start EXPLORE Why GitHub Documentation Blog Changelog Marketplace View all features Solutions BY COMPANY SIZE Enterprises Small and medium teams Startups Nonprofits BY USE CASE App Modernization DevSecOps DevOps CI\u002FCD View all use cases BY INDUSTRY Healthcare Financial services Manufacturing Government View all industries View all solutions Resources EXPLORE BY TOPIC AI Software Development DevOps Security View all topics EXPLORE BY TYPE Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills SUPPORT & SERVICES Documentation Customer support Community forum Trust center Partners View all resources Open Source COMMUNITY GitHub Sponsors Fund open source developers PROGRAMS Security Lab Maintainer Community Accelerator GitHub Stars Archive Program REPOSITORIES Topics Trending Collections Enterprise ENTERPRISE SOLUTIONS Enterprise platform AI-powered developer platform AVAILABLE ADD-ONS GitHub Advanced Security Enterprise-grade security features Copilot for Business Enterprise-grade AI features Premium Support Enterprise-grade 24\u002F7 support Pricing Type \u002F to search Sign in Sign up Appearance settings","agents-flex-text2sql targets natural-language data analysis. It provides tools for listing data sources, inspecting table schemas, and executing SQL, with built-in read-only SQL checks, parameterized-query constraints, LIMIT control, tenant isolation, and audit extension points.",[748,751,751,749,752,753],"Security and quality","Privacy","Security",[748,755,756,757,758,759,760,761,749,762,763,744],"It is suitable for building intelligent customer service, enterprise knowledge bases, natural-language data analysis, Agent workflows, model gateways, AI-assisted office tools, plugin-based tool systems, and Java services that need to connect to multiple model providers at the same time.","Consistent sync and streaming APIs : The same Prompt, Options, interceptor, and context mechanisms work for both normal chat and streaming output.","Chat model integrations: OpenAI-compatible APIs, Qwen, Ollama, DeepSeek, LiteLLM","Natural-language data analysis tools with progressive schema disclosure, read-only SQL checks, and interceptor chains","The following example uses an OpenAI-compatible API. Replace endpoint , model , and apiKey with your own model service configuration.",". apiKey ( System . getenv ( \"GITEE_API_KEY\" ))","Use GlobalChatInterceptors.addRegistration(...) for a conditional interceptor shared by subsequently created chat models. Existing addInterceptor(...) APIs remain available and register an interceptor that always matches.","agents-flex-core\u002F Core APIs and base implementations","agents-flex-text2sql\u002F Natural-language data analysis","GitHub - agents-flex\u002Fagents-flex: Agents-flex is A lightweight Java AI agent development framework (positioned as a counterpart to Spring AI). It supports features such as RAG, MCP, Skills, Text2SQL , LLM Wiki, Sub-agents, Web Search, TTS (synchronous and streaming), and STT. · GitHub \nSkip to content \nNavigation Menu\nSign in Appearance settings Platform AI CODE CREATION GitHub Copilot Write better code with AI GitHub Copilot app Direct agents from issue to merge MCP Registry Integrate external tools DEVELOPER WORKFLOWS Actions Automate any workflow Codespaces Instant dev environments Issues Plan and track work Code Review Manage code changes Code Quality Enforce quality at merge APPLICATION SECURITY GitHub Advanced Security Find and fix vulnerabilities Code security Secure your code as you build Secret protection Stop leaks before they start EXPLORE Why GitHub Documentation Blog Changelog Marketplace View all features Solutions BY COMPANY SIZE Enterprises Small and medium teams Startups Nonprofits BY USE CASE App Modernization DevSecOps DevOps CI\u002FCD View all use cases BY INDUSTRY Healthcare Financial services Manufacturing Government View all industries View all solutions Resources EXPLORE BY TOPIC AI Software Development DevOps Security View all topics EXPLORE BY TYPE Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills SUPPORT & SERVICES Documentation Customer support Community forum Trust center Partners View all resources Open Source COMMUNITY GitHub Sponsors Fund open source developers PROGRAMS Security Lab Maintainer Community Accelerator GitHub Stars Archive Program REPOSITORIES Topics Trending Collections Enterprise ENTERPRISE SOLUTIONS Enterprise platform AI-powered developer platform AVAILABLE ADD-ONS GitHub Advanced Security Enterprise-grade security features Copilot for Business Enterprise-grade AI features Premium Support Enterprise-grade 24\u002F7 support Pricing Type \u002F to search Sign in Sign up Appearance settings \nYou signed in with another tab or window. 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Please reload this page .\nagents-flex\n\u002F \nagents-flex \nPublic \nNotifications\nYou must be signed in to change notification settings \nFork\n141 \nStar\n1.1k \nCode \nIssues \n1 \nPull requests \n0 \nActions \nProjects \nSecurity and quality \n0 \nInsights \nAdditional navigation options \nCode\nIssues\nPull requests\nActions\nProjects\nSecurity and quality\nInsights\nmain Branches Tags Go to file Code Open more actions menu Folders and files\nName Name Last commit message Last commit date Latest commit\nHistory\n1,648 Commits 1,648 Commits .github\u002F ISSUE_TEMPLATE .github\u002F ISSUE_TEMPLATE     agents-flex-agent-store agents-flex-agent-store     agents-flex-agent agents-flex-agent     agents-flex-audio agents-flex-audio     agents-flex-bom agents-flex-bom     agents-flex-chat agents-flex-chat     agents-flex-core agents-flex-core     agents-flex-embedding agents-flex-embedding     agents-flex-image agents-flex-image     agents-flex-mcp agents-flex-mcp     agents-flex-observability agents-flex-observability     agents-flex-rerank agents-flex-rerank     agents-flex-search-engine agents-flex-search-engine     agents-flex-skills-artifact agents-flex-skills-artifact     agents-flex-skills-sandbox agents-flex-skills-sandbox     agents-flex-skills agents-flex-skills     agents-flex-spring-boot-starter agents-flex-spring-boot-starter     agents-flex-store agents-flex-store     agents-flex-subagent agents-flex-subagent     agents-flex-text2sql agents-flex-text2sql     agents-flex-tool agents-flex-tool     agents-flex-toolsearch agents-flex-toolsearch     agents-flex-video agents-flex-video     agents-flex-websearch agents-flex-websearch     agents-flex-wiki agents-flex-wiki     demos demos     docs docs     testresource testresource     .editorconfig .editorconfig     .gitignore .gitignore     LICENSE LICENSE     changes.md changes.md     pom.xml pom.xml     readme.md readme.md     readme_zh.md readme_zh.md     View all files Repository files navigation\nREADME Apache-2.0 license More items English | 简体中文 \nAgents-Flex\nAgents-Flex is a lightweight AI application development framework for the Java ecosystem. It organizes LLM calls, Tool Calling, Agents, RAG, vector stores, Embedding, image generation, audio, MCP, Skills, Text2SQL, and related capabilities into clear modules, so developers can compose only what they need without being locked into a specific runtime or application framework.\nIt is suitable for building intelligent customer service, enterprise knowledge bases, natural-language data analysis, Agent workflows, model gateways, AI-assisted office tools, plugin-based tool systems, and Java services that need to connect to multiple model providers at the same time.\nHighlights\nJava native : Core modules are compatible with Java 8+ and can run in plain Java, Spring Boot, or other JVM stacks. \nUnified model abstractions : ChatModel , EmbeddingModel , ImageModel , RerankModel , and other interfaces wrap provider-specific capabilities. \nConsistent sync and streaming APIs : The same Prompt, Options, interceptor, and context mechanisms work for both normal chat and streaming output. \nComplete Tool Calling flow : Supports annotation-based scanning, programmatic tool building, tool execution, tool message feedback, and tool-level observability. \nDurable Agent runtime : Provides snapshot recovery, tool approval, Worker leases, middleware, event streams, task planning, and sub-agent scheduling. \nFull RAG building blocks : Includes document models, parsing, splitting, Embedding, vector stores, retrieval, and Rerank support. \nProduction-oriented design : Includes model routing, retry, load balancing, circuit breaking, OpenTelemetry observability, and Text2SQL safety interceptors. \nModules\nModule \nDescription \nagents-flex-core \nCore abstractions: Chat, Prompt, Message, Tool, Memory, Document, Store, and observability \nagents-flex-agent \nDurable Agent runtime: Run state, snapshot recovery, Worker leases, approval, middleware, events, and task planning \nagents-flex-agent-store \nJDBC and Redis persistence for Agent runs, commands, events, task plans, and artifacts \nagents-flex-chat \nChat model integrations: OpenAI-compatible APIs, Qwen, Ollama, DeepSeek, LiteLLM \nagents-flex-embedding \nEmbedding model integrations: OpenAI, Ollama, Qwen \nagents-flex-image \nImage model integrations: OpenAI, Gemini, Qwen, Alibaba Cloud, Gitee, Qianfan, SiliconFlow, Stability, Tencent, Volcengine \nagents-flex-video \nAsynchronous video generation and editing: Alibaba Cloud Model Studio and Volcengine Ark \nagents-flex-audio \nSpeech-to-text and text-to-speech: Alibaba Cloud, Tencent Cloud, Volcengine \nagents-flex-store \nVector stores: Redis, Qdrant, Chroma, Pgvector, MariaDB, Milvus, OpenSearch, Elasticsearch, Alibaba Cloud, Tencent Cloud \nagents-flex-search-engine \nSearch engine wrappers: Lucene, Elasticsearch, and search service interfaces \nagents-flex-rerank \nRerank models: default implementation and Gitee Rerank \nagents-flex-tool \nCommon tools: file system, Shell, Grep, Glob, WebFetch, Python, JavaScript \nagents-flex-mcp \nMCP client that converts external MCP tools into Agents-Flex Tool instances \nagents-flex-skills \nFile-system-based Skills loading with progressive disclosure \nagents-flex-skills-sandbox \nSandbox runtime integrations for isolated Skills execution \nagents-flex-skills-open-sandbox \nIsolated Skills execution through the OpenSandbox runtime \nagents-flex-skills-aio-sandbox \nIsolated Skills execution through an AIO Sandbox service \nagents-flex-subagent \nSubagent definitions, background task execution, and output retrieval tools \nagents-flex-text2sql \nNatural-language data analysis tools with progressive schema disclosure, read-only SQL checks, and interceptor chains \nagents-flex-websearch \nWeb search tools with Brave, Bocha, Baidu Qianfan, and custom search providers \nagents-flex-wiki \nLLM Wiki support: organize knowledge as a navigable hierarchical Wiki tree with path-based recursive reading and progressive disclosure \nagents-flex-spring-boot-starter \nSpring Boot auto-configuration for common models and vector stores \ndemos \nExample projects \nRequirements\nMost modules: JDK 8+ \nagents-flex-mcp : JDK 17+ \nBuild tool: Maven \nThe current repository version is defined by the revision property in the root pom.xml ; it is currently 2.2.6 .\nInstallation\nFor plain Java projects, you can use the aggregate dependency:\n\u003C dependency >\n\u003C groupId >com.agentsflex\u003C\u002F groupId >\n\u003C artifactId >agents-flex-bom\u003C\u002F artifactId >\n\u003C version >2.2.6\u003C\u002F version >\n\u003C\u002F dependency > \nFor Spring Boot projects, use the starter:\n\u003C dependency >\n\u003C groupId >com.agentsflex\u003C\u002F groupId >\n\u003C artifactId >agents-flex-spring-boot-starter\u003C\u002F artifactId >\n\u003C version >2.2.6\u003C\u002F version >\n\u003C\u002F dependency > \nYou can also depend on only the modules you need:\n\u003C dependency >\n\u003C groupId >com.agentsflex\u003C\u002F groupId >\n\u003C artifactId >agents-flex-chat-openai\u003C\u002F artifactId >\n\u003C version >2.2.6\u003C\u002F version >\n\u003C\u002F dependency >\n\u003C dependency >\n\u003C groupId >com.agentsflex\u003C\u002F groupId >\n\u003C artifactId >agents-flex-store-redis\u003C\u002F artifactId >\n\u003C version >2.2.6\u003C\u002F version >\n\u003C\u002F dependency > \nQuick Start\nThe following example uses an OpenAI-compatible API. Replace endpoint , model , and apiKey with your own model service configuration.\nimport com . agentsflex . core . model . chat . ChatModel ;\nimport com . agentsflex . model . chat . openai . OpenAIChatConfig ;\npublic class ChatDemo {\npublic static void main ( String [] args ) {\nChatModel chatModel = OpenAIChatConfig . builder ()\n. endpoint ( \"https:\u002F\u002Fai.gitee.com\" )\n. provider ( \"GiteeAI\" )\n. model ( \"Qwen3-32B\" )\n. apiKey ( System . getenv ( \"GITEE_API_KEY\" ))\n. buildModel ();\nString reply = chatModel . chat ( \"Introduce Agents-Flex in one sentence.\" );\nSystem . out . println ( reply );\n}\n} \nStreaming output:\nimport com . agentsflex . core . model . chat . StreamResponseListener ;\nimport com . agentsflex . core . model . chat . response . AiMessageResponse ;\nimport com . agentsflex . core . model . client . StreamContext ;\nchatModel . chatStream ( \"Explain the Chain of Responsibility pattern in Java.\" , new StreamResponseListener () {\n@ Override \npublic void onMessage ( StreamContext context , AiMessageResponse response ) {\nSystem . out . print ( response . getMessage (). getContent ());\n}\n}); \nTool Calling\nBusiness methods can be exposed as tools with annotations:\nimport com . agentsflex . core . model . chat . tool . annotation . ToolDef ;\nimport com . agentsflex . core . model . chat . tool . annotation . ToolParam ;\npublic class WeatherTools {\n@ ToolDef ( name = \"get_weather\" , description = \"Query the weather for a given city\" )\npublic static String getWeather (\n@ ToolParam ( name = \"city\" , description = \"City name\" , required = true ) String city \n) {\nreturn city + \": sunny\" ;\n}\n} \nAfter registering the tool on a Prompt, the model can call it when needed:\nimport com . agentsflex . core . model . chat . response . AiMessageResponse ;\nimport com . agentsflex . core . prompt . SimplePrompt ;\nSimplePrompt prompt = new SimplePrompt ( \"What is the weather in Beijing today?\" );\nprompt . addToolsFromClass ( WeatherTools . class );\nAiMessageResponse response = chatModel . chat ( prompt );\nif ( response . hasToolCalls ()) {\nprompt . setToolMessages ( response . executeToolCallsAndGetToolMessages ());\nSystem . out . println ( chatModel . chat ( prompt ). getMessage (). getContent ());\n} \nIf tools come from runtime configuration, a plugin system, or workflow nodes, you can also build them dynamically with Tool.builder() .\nFor larger tool sets, use ToolGroup to attach tools and system instructions only when the latest user prompt matches. Unmatched groups are omitted from the request body:\nToolGroup weatherGroup = ToolGroup . builder ( \"weather\" )\n. addTools ( ToolScanner . scan ( WeatherTools . class ))\n. systemPrompt ( \"Always use a weather tool for live weather questions.\" )\n. matcher ( ToolGroupMatchers . promptContains ( \"weather\" , \"temperature\" , \"rain\" ))\n. build ();\nMemoryPrompt prompt = new MemoryPrompt ();\nprompt . addToolGroup ( weatherGroup );\nprompt . addUserMessage ( \"Will it rain in Beijing today?\" );\nchatModel . chat ( prompt ); \nA Prompt can contain multiple groups. Every request is matched again against the latest user message, so tools selected for one turn do not leak into later unrelated turns. In addition to promptContains and promptMatches , matcher(context -> ...) supports application-specific strategies.\nThe request body is built only after all interceptors reach the end of the chain. Prompt and ChatOptions changes made before chain.proceed() therefore affect the final request:\nChatInterceptor interceptor = new ChatInterceptor () {\n@ Override \npublic AiMessageResponse intercept ( BaseChatModel \u003C?> model , ChatContext context , SyncChain chain ) {\ncontext . getOptions (). setTemperature ( 0.2f );\ncontext . setPrompt ( new SimplePrompt ( \"rewritten prompt\" ));\ncontext . getRequestSpec (). addHeader ( \"X-Tenant\" , \"tenant-1\" );\nreturn chain . proceed ( model , context );\n}\n}; \nChatRequestSpec contains only the URL, headers, and retry configuration; it no longer exposes the body. Interceptors influence request content through structured Prompt and ChatOptions changes instead of rewriting raw body JSON.\nInterceptors can also be activated conditionally for each request. The matcher runs when the registration reaches its position in the chain, so it sees changes made by earlier interceptors:\nchatModel . addInterceptorRegistration (\nChatInterceptorRegistration . builder ( \"premium-audit\" , new AuditChatInterceptor ())\n. matcher ( context -> \"premium\" . equals ( context . getAttribute ( \"plan\" )))\n. order ( ChatInterceptorOrders . DEFAULT )\n. build ()\n); \nUse GlobalChatInterceptors.addRegistration(...) for a conditional interceptor shared by subsequently created chat models. Existing addInterceptor(...) APIs remain available and register an interceptor that always matches.\nRegistrations are stably sorted by ascending order for each request. Framework defaults place observability at -1000 , ordinary interceptors at 0 , and request preparation such as Tool Group resolution at 1000 . These are recommendations rather than boundaries: applications may use any integer to run before observability or after Tool Group resolution. Registrations with the same order retain their original registration order.\nAgents And Orchestration\nAgents-Flex includes several mechanisms for complex tasks:\nReActAgent : Executes multi-step tasks with Thought \u002F Action \u002F Observation. \nRoutingAgent : Routes requests to a more suitable Agent. \nSubagentTools : Lets a parent Agent create subtasks with synchronous or background execution. \nSkillsTool : Reads local Skills directories and loads specialized capability instructions and resources on demand. \nMcpClientManager : Connects to MCP Servers and wraps remote tools as Tool instances. \nThese capabilities are built on the same Tool , Prompt , and ChatModel abstractions, making them easy to combine and replace.\nRAG And Knowledge Bases\nRAG-related capabilities are distributed across multiple modules:\nDocument models: Document , VectorData , Metadata \nText processing: Loader, Parser, Splitter, File2Text \nVectorization: OpenAI, Ollama, and Qwen Embedding \nVector stores: Redis, Qdrant, Chroma, Pgvector, MariaDB, Milvus, OpenSearch, Elasticsearch, and more \nRetrieval: SearchWrapper , DocumentStore , VectorStore \nRelevance optimization: Rerank models \nA typical flow is: load documents, split text, generate Embeddings, write them to a vector store, retrieve relevant passages for a user question, and then let a ChatModel generate the final answer.\nLLM Wiki\nLLM Wiki can be understood as a hierarchical knowledge base designed for Agents. Instead of slicing knowledge only into flat chunks, it organizes content as a Wiki tree with paths, titles, summaries, page bodies, and child pages. An Agent first sees summaries of available pages, then calls tools to read more specific child pages only when needed, enabling step-by-step navigation with less context.\nagents-flex-wiki provides the basic abstractions for this pattern: Wiki , WikiProvider , and WikiTool . WikiTool exposes the available child Wikis of the root or current node to the model, and reads content by path through get_wiki_content(path) . It is useful for documentation systems with clear chapter structures, where you want an Agent to browse knowledge like a table of contents. It can also be combined with traditional RAG, WebSearch, and Skills.\nMCP, Skills, And Text2SQL\nagents-flex-mcp supports stdio , http-sse , and http-stream transports. It can load MCP services from mcp-servers.json and convert MCP tools into Agents-Flex tools.\nagents-flex-skills supports file-system-based Skills, which are useful for packaging repeatable professional tasks such as code review, document generation, file processing, and local knowledge retrieval.\nagents-flex-text2sql targets natural-language data analysis. It provides tools for listing data sources, inspecting table schemas, and executing SQL, with built-in read-only SQL checks, parameterized-query constraints, LIMIT control, tenant isolation, and audit extension points.\nModel Routing And Observability\nThe framework includes model routing, allowing multiple model instances to be combined into one RoutedChatModel or RoutedEmbeddingModel . It supports:\nLeast-active load balancing \nWeighted random load balancing \nTag-based routing \nAutomatic retry \nCircuit breaking and half-open recovery \nRuntime metrics \nObservability is based on OpenTelemetry and supports tracing and metrics collection. You can switch between Logging, OTLP, or custom exporters with system properties:\n-Dagentsflex.otel.enabled=true\n-Dagents",[766,816,846,872,905,931],{"url":767,"kind":768,"anchor":769,"title":770,"description":771,"headings":772,"feature_evidence":792,"use_case_evidence":800,"fetched_at":814,"status":404,"content_hash":815},"https:\u002F\u002Fgithub.com\u002Ffeatures\u002Factions","use_case","Actions Automate any workflow","GitHub Actions · GitHub","GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.",[711,773,774,775,776,777,778,779,780,781,782,783,784,785,786,787,788,789,790,791],"Automate your workflow from idea to production","Kick off workflows on any GitHub event to automate tasks","Hosted runners","Matrix builds","Any language","Live logs","Built in secret store","Multi-container testing","Run a workflow\u2028 on any event","Actions marketplace","Secure package registry for code and workflows","GitHub Actions is free for public repositories","Host your own runners or use GitHub-hosted runners","The future of workflow automation is now","Site-wide Links","The developer newsletter","Platform","Ecosystem","Support",[793,794,777,795,796,797,798,799],"Sign in Platform AI CODE CREATION GitHub Copilot Write better code with AI GitHub Copilot app Direct agents from issue to merge MCP Registry Integrate external tools DEVELOPER WORKFLOWS Actions Automate any workflow Codespaces Instant dev environments Issues Plan and track work Code Review Manage code changes Code Quality Enforce quality at merge APPLICATION SECURITY GitHub Advanced Security Find and fix vulnerabilities Code security Secure your code as you build Secret protection Stop leaks before they start EXPLORE Why GitHub Documentation Blog Changelog Marketplace View all features Solutions BY COMPANY SIZE Enterprises Small and medium teams Startups Nonprofits BY USE CASE App Modernization DevSecOps DevOps CI\u002FCD View all use cases BY INDUSTRY Healthcare Financial services Manufacturing Government View all industries View all solutions Resources EXPLORE BY TOPIC AI Software Development DevOps Security View all topics EXPLORE BY TYPE Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills SUPPORT & SERVICES Documentation Customer support Community forum Trust center Partners View all resources Open Source COMMUNITY GitHub Sponsors Fund open source developers PROGRAMS Security Lab Maintainer Community Accelerator GitHub Stars Archive Program REPOSITORIES Topics Trending Collections Enterprise ENTERPRISE SOLUTIONS Enterprise platform AI-powered developer platform AVAILABLE ADD-ONS GitHub Advanced Security Enterprise-grade security features Copilot for Business Enterprise-grade AI features Premium Support Enterprise-grade 24\u002F7 support Pricing Type \u002F to search Sign in Sign up","Linux, macOS, Windows, ARM, GPU, and containers make it easy to build and test all your projects. Run directly on a VM or inside a container. Use your own VMs, in the cloud or on-prem, with self-hosted runners.","GitHub Actions supports Node.js, Python, Java, Ruby, PHP, Go, Rust, .NET, and more. Build, test, and deploy applications in your language of choice.","Explore the actions marketplace Easily deploy to any cloud, create tickets in Jira, or publish a package to npm. Want to venture off the beaten path? Use the millions of open source libraries available on GitHub to create your own actions. Write them in JavaScript or create a container action—both can interact with the full GitHub API and any other public API. Secure package registry for code and workflows","Securely store and manage your code and packages with GitHub credentials, integrated into your workflows via APIs and webhooks. Enjoy fast, reliable downloads through a global CDN for optimized performance.","Read the GitHub Packages docs “ Actions is an exciting development and unlocks so much potential beyond CI\u002FCD. It promises to streamline our workflows for a variety of tasks, from deploying our websites to querying the GitHub API for custom status reports to standard CI builds. Ralf Gommers SciPy maintainer GitHub Actions is free for public repositories","Developer API Partners Education GitHub CLI GitHub Desktop GitHub Mobile GitHub Marketplace MCP Registry Support",[801,802,803,804,805,806,807,808,781,809,810,796,797,811,812,813],"Sign in Platform AI CODE CREATION GitHub Copilot Write better code with AI GitHub Copilot app Direct agents from issue to merge MCP Registry Integrate external tools DEVELOPER WORKFLOWS Actions Automate any workflow Codespaces Instant dev environments Issues Plan and track work Code Review Manage code changes Code Quality Enforce quality at merge APPLICATION SECURITY GitHub Advanced Security Find and fix vulnerabilities Code security Secure your code as you build Secret protection Stop leaks before they start EXPLORE Why GitHub Documentation Blog Changelog Marketplace View all features Solutions BY COMPANY SIZE Enterprises Small and medium teams Startups Nonprofits BY USE CASE App Modernization DevSecOps DevOps CI\u002FCD View all use cases BY INDUSTRY Healthcare Financial services Manufacturing Government View all industries View all solutions Resources EXPLORE BY TOPIC AI Software Development DevOps Security View all topics EXPLORE BY TYPE Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills SUPPORT & SERVICES Documentation Customer support Community forum Trust center Partners View all resources Open Source COMMUNITY GitHub Sponsors Fund open source developers PROGRAMS Security Lab Maintainer Community Accelerator GitHub Stars Archive Program REPOSITORIES Topics Trending Collections Enterprise ENTERPRISE SOLUTIONS Enterprise platform AI-powered developer platform AVAILABLE ADD-ONS GitHub Advanced Security Enterprise-grade security features Copilot for Business Enterprise-grade AI features Premium Support Enterprise-grade 24\u002F7 support Pricing Type \u002F to search Sign in Sign up ","Features GitHub Copilot Security Actions Codespaces Issues Copilot Code Review Discussions Code search GitHub Actions Automate your workflow from idea to production","GitHub Actions makes it easy to automate all your software workflows, now with world-class CI\u002FCD. Build, test, and deploy your code right from GitHub. Make code reviews, branch management, and issue triaging work the way you want.","Get started with actions Contact sales Kick off workflows on any GitHub event to automate tasks","Save time with matrix workflows that simultaneously test across multiple operating systems and versions of your runtime.","See your workflow run in realtime with color and emoji. It’s one click to copy a link that highlights a specific line number to share a CI\u002FCD failure.","Automate your software development practices with workflow files embracing the Git flow by codifying it in your repository.","Test your web service and its DB in your workflow by simply adding some docker-compose to your workflow file.","Whether you want to build a container, deploy a web service, or automate welcoming new users to your open source projects—there's an action for that. Pair GitHub Packages with Actions to simplify package management, including version updates, fast distribution with our global CDN, and dependency resolution, using your existing GITHUB_TOKEN.","GitHub Actions connects all of your tools to automate every step of your development workflow. ","Read the GitHub Packages docs “ Actions is an exciting development and unlocks so much potential beyond CI\u002FCD. It promises to streamline our workflows for a variety of tasks, from deploying our websites to querying the GitHub API for custom status reports to standard CI builds. Ralf Gommers SciPy maintainer GitHub Actions is free for public repositories ","View pricing The future of workflow automation is now","About Why GitHub Customer Stories Blog The ReadME Project Careers Newsroom Inclusion Social Impact Shop © 2026 GitHub, Inc. Terms Privacy Manage cookies Do not share my personal information GitHub on LinkedIn GitHub on Instagram GitHub on YouTube GitHub on X GitHub on TikTok GitHub on Twitch GitHub’s organization on GitHub English ","2026-08-09T00:50:23.268Z","968b622e5d09a23333e5c72820f56e0ba56ad22981a08108a646eb2a18337af0",{"url":817,"kind":768,"anchor":818,"title":819,"description":771,"headings":820,"feature_evidence":840,"use_case_evidence":842,"fetched_at":844,"status":404,"content_hash":845},"https:\u002F\u002Fgithub.com\u002Fsolutions\u002Findustry\u002Fnonprofits","Nonprofits","GitHub for Nonprofits · GitHub",[711,821,822,823,824,825,826,827,828,829,830,831,832,833,834,835,836,837,838,839],"Drive social impact one commit at a time","Exclusive discounts for verified nonprofits","Free access to a GitHub Team plan","25% off GitHub Enterprise Cloud","Unlock the Nonprofit Developer Pack","Let GitHub power your mission","Increase visibility and widen impact","Tap into the open source community","Get started today","Frequently Asked Questions","Who qualifies for GitHub for Nonprofits?","What if our organization does not qualify for nonprofit status but works in the social sector?","What are the different GitHub pricing plans?","I'd like more information on how GitHub for Nonprofits works, where can I go?","I have another question, how do I reach the team?","What is the Nonprofit Developer Pack?","How is this different from the existing GitHub for Nonprofits program?","How do I apply for the Pack?","How can my company become a partner?",[793,841,799],"Build your nonprofit on the world's most advanced developer platform. Verified nonprofits get exclusive access to a free GitHub Team plan or 25% off the GitHub Enterprise cloud plan.",[801,843,813],"Solutions By industry GitHub for Nonprofits Drive social impact one commit at a time","2026-08-09T00:50:23.463Z","b40a3dcf9ff545535cfeb6da1ac00cb5755ff221f32667b558973c8c81e83adc",{"url":847,"kind":768,"anchor":848,"title":849,"description":771,"headings":850,"feature_evidence":866,"use_case_evidence":867,"fetched_at":870,"status":404,"content_hash":871},"https:\u002F\u002Fgithub.com\u002Fsolutions\u002Fuse-case\u002Fapp-modernization","App Modernization","App Modernization Solutions | GitHub · GitHub",[711,851,852,853,854,855,856,857,858,859,860,861,862,863,864,865,787,788,789,790],"Modernize your applications in days, not months","Accelerate app modernization and eliminate tech debt with GitHub Copilot","Modernize at scale","Customize and repeat tasks","Streamline end-to-end migration","Agents do the heavy lifting","A smoother upgrade path","Stay in control","Migrate to Azure with confidence","Proven impact","Ready to modernize?","Additional Resources","Power up your Java application modernization","Modernize .NET applications with ease","Explore the full documentation",[793,799],[868,801,869,813],"App Modernization Solutions | GitHub · GitHub ","Solutions By use case GitHub App Modernization Modernize your applications in days, not months","2026-08-09T00:50:23.649Z","5ed1bec95988c979953acffb1272dfe4967ac07e17dec7184cb0c6cdd3805ffe",{"url":873,"kind":768,"anchor":874,"title":875,"description":771,"headings":876,"feature_evidence":891,"use_case_evidence":894,"fetched_at":903,"status":404,"content_hash":904},"https:\u002F\u002Fgithub.com\u002Fsolutions\u002Fuse-case\u002Fdevsecops","DevSecOps","Unified DevSecOps Solutions Built for Security | GitHub · GitHub",[711,877,878,879,880,881,882,883,884,885,886,887,862,888,889,890,787,788,789,790],"The AI-powered DevSecOps platform","Integrate AI-powered security features directly\ninto your development workflow, eliminating\nthe need for third-party tools.","Code scanning","Secret scanning","Supply chain security","Logos for EY Mercado Libre 3M KPMG TELUS","Give AI the heavy lifting","Found means fixed","Pump your team’s security prowess","Your workflows, your way","Application security made simpler","DevSecOps explained","Meet the companies who build with unified DevSecOps","Discover how AI is changing the security landscape",[793,892,893,799],"Request a demo See plans & pricing Integrate AI-powered security features directly","With support for more than 17,000 app integrations, GitHub Advanced Security accommodates your team’s tooling preferences.",[895,801,896,897,898,899,900,901,902,813],"Unified DevSecOps Solutions Built for Security | GitHub · GitHub ","Solutions By use case GitHub DevSecOps The AI-powered DevSecOps platform","With comprehensive security tools built into the developer workflow, you can build, secure, and ship all in one place. ","into your development workflow, eliminating","Don’t just find vulnerable code, fix it. GitHub Advanced Security flags problems and suggests AI-powered solutions, freeing teams to ship more secure software faster.","Discover code scanning autofix Your workflows, your way","Eliminate toolchain cost and complexity with native security tools for GitHub Enterprise and Azure DevOps customers.","Read customer stories Discover how AI is changing the security landscape ","2026-08-09T00:50:23.843Z","ffb017e97dc8ae1da66b885321115012d8e55012995c851255712254ebf7f23c",{"url":906,"kind":768,"anchor":907,"title":908,"description":771,"headings":909,"feature_evidence":924,"use_case_evidence":926,"fetched_at":929,"status":404,"content_hash":930},"https:\u002F\u002Fgithub.com\u002Fsolutions\u002Fuse-case\u002Fdevops","DevOps","Unified AI-Powered Platforms for DevOps Solutions | GitHub · GitHub",[711,910,911,912,913,914,915,916,917,918,919,920,862,921,922,923,787,788,789,790],"The unified platform for your DevOps lifecycle","Keep developers in the flow with automation, AI, collaboration tools, and more.","Increase collaboration","Eliminate barriers","Reduce context switching","Logos for Ford, Shopify, NASA, Vercel, and Spotify","Drive innovation with AI-powered developer tools","Built-in security","Streamline team collaboration","Unlock 376% ROI with GitHub Enterprise Cloud","DevOps strategies, amplified by GitHub tools","Find the right DevOps platform","What is DevOps?","Discover innersource",[793,925,799],"Manage the SDLC with automated security tools. Find and fix vulnerabilities quickly and efficiently with security checks integrated into every step of the developer's workflow.",[927,801,928,925,813],"Unified AI-Powered Platforms for DevOps Solutions | GitHub · GitHub ","Solutions By use case GitHub DevOps The unified platform for your DevOps lifecycle ","2026-08-09T00:50:24.037Z","3afc3a7a54c73a2218b39f2c0cca571ed3629ab27f05ec71ced13f8d9a99037e",{"url":932,"kind":768,"anchor":933,"title":934,"description":771,"headings":935,"feature_evidence":949,"use_case_evidence":950,"fetched_at":955,"status":404,"content_hash":956},"https:\u002F\u002Fgithub.com\u002Fsolutions\u002Fuse-case\u002Fci-cd","CI\u002FCD","A Complete CI\u002FCD Solution for Software Development | GitHub · GitHub",[711,936,937,938,939,940,941,942,943,944,862,945,946,947,787,788,789,790,791,948],"The complete CI\u002FCD solution","Streamline, secure, and deploy with confidence: automate your software delivery pipeline","Turn code into software","Secure and improve","Ship with confidence","Build fast, stay secure","Continuous testing made simple","Deploy software with confidence","Powerful CI\u002FCD with GitHub Enterprise","DevOps tips for Engineering leaders","Ship secure software fast","CI\u002FCD Solution Demo","Company",[793,799],[951,801,952,953,954,813],"A Complete CI\u002FCD Solution for Software Development | GitHub · GitHub ","Solutions By use case GitHub CI\u002FCD The complete CI\u002FCD solution","Automatically trigger builds on every commit with workflow builder.","Get the report CI\u002FCD Solution Demo ","2026-08-09T00:50:24.325Z","fbef39a3a579022d7942ee9147828c9239813d7821fcd82f05d36086cbad5ba6",[958,962],{"url":959,"title":960,"kind":961},"https:\u002F\u002Fgithub.com\u002Fresources\u002Fwhitepapers","Ebooks & reports","research",{"url":963,"title":964,"kind":961},"https:\u002F\u002Fgithub.com\u002Fcontact\u002Freport-content?content_url=https%3A%2F%2Fgithub.com%2Fagents-flex%2Fagents-flex&report=agents-flex+%28user%29","Report repository",[],[801,802,803,804,805,806,807,808,781,809,810,796,797,811,812,813,801,843,813,868,801,869,813,895,801,896,897,898,899,900,901,902,813,927,801,928,925,813,951,801,952,953,954,813],[748,755,756,757,758,759,760,761,749,762,763,744],"framework","Lekki framework Java do budowy agentów AI i aplikacji multimodalnych, łączący chat, obraz, mowę, wideo, embeddings, tool calling, Skills, RAG i orkiestrację agentów przez wspólne Java APIs.","Agents-Flex is released under the Apache 2.0 license and is free to use. It can be installed via Maven or Gradle, requiring users to bring their own model API keys or cloud credentials.","Agents-Flex is free and open source under the Apache 2.0 license. No pricing plans are listed as it is self-hosted with user-provided model credentials.",[],"yes","W zebranych źródłach widać wsparcie dla observability opartego o OpenTelemetry oraz wzmianki o sandbox execution, ale nie ma oficjalnych, pełnych deklaracji bezpieczeństwa, certyfikacji czy polityki prywatności.",[976,977],"Java","JVM",[976],[980,981,982,983,984,985,986,987,988],"MCP","OpenTelemetry","Ollama","GiteeAI","OpenAI-compatible services","OpenAI-compatible APIs","Qwen","DeepSeek","LiteLLM",[990,991,992,993,994,995,996,997,998,999,1000,1001,1002,1003,1004,1005,1006,1007,1008,1009,1010,1011,1012,613,1013,1014,1015,1016,1017,1018],"LLM access i unified Java APIs","chat\u002Finterceptors i streaming","prompt templates i prompt loading","tool calling \u002F method execution","MCP client invocation, monitoring i caching","memory","embedding","vector store","file2text \u002F document reading","splitter \u002F document segmentation","observability based on OpenTelemetry","Skills system","RAG","Text2SQL","sub-agents","web search","TTS i STT","Ollama \u002F lokalne modele","HTTP, SSE i WS support","Unified Java API for chat, image, speech, video, embedding, rerank, tool calling, Skills, sandbox execution, RAG, and agent orchestration","Consistent sync and streaming APIs for chat models","Natural-language data analysis tools with progressive schema disclosure, read-only SQL checks, and interceptor chains (agents-flex-text2sql)","Support for building intelligent customer service, enterprise knowledge bases, Agent workflows, model gateways, AI-assisted office tools, plugin-based tool systems","Installation via Maven or Gradle with modular BOM","GlobalChatInterceptors.addRegistration(...) for conditional interceptors","MCP (Model Context Protocol) support","Text2SQL capabilities","Sub-agents and web search","TTS (synchronous and streaming) and STT",[],[],"Agents-Flex to lekki framework Java do budowy agentów AI i aplikacji multimodalnych. Oficjalne źródła potwierdzają obsługę chat, obrazów, mowy, wideo, embeddings, rerankingu, tool calling, Skills, sandbox execution, RAG i orkiestracji agentów. Repozytorium i strona projektu wskazują też na MCP, Text2SQL, LLM Wiki, observability oraz lokalne wdrożenia przez Ollama. W zebranych materiałach nie ma jednak oficjalnych danych o cenach, planach, prywatności, regionach danych ani zgodności GDPR.",[1023,1024],"Qwen3-32B","Qwen3.5-35B-A3B","Apache-2.0","2026-03-01",[1028,1029,1030,1031,1032,1033,1034],"Java developers","AI application developers","enterprise teams","teams building multimodal agents and workflows","Enterprise teams","AI engineers building multimodal agents","Teams needing unified access to multiple model providers",[1036,1037,1038,1039,1040,1041,1042,1043,1044,1045,1046,1047,1048,1049],"intelligent customer service","enterprise knowledge bases","natural-language data analysis","agent workflows","model gateways","AI-assisted office tools","plugin-based tool systems","Java services connecting to multiple model providers","Building intelligent customer service systems","Creating enterprise knowledge bases","Natural-language data analysis","Agent workflow orchestration","Model gateways","Plugin-based tool systems",[1051,1052,1053,1054,1055,1056],"Oficjalne źródła udostępnione w researchu nie podają cennika ani modeli płatności.","Nie znaleziono oficjalnych danych o polityce prywatności, treningu na danych użytkowników ani regionach danych.","Brak oficjalnie potwierdzonej obsługi języka polskiego.","Self-hosted model dependency — performance and cost depend on external model providers","No managed cloud offering or hosted version mentioned","Limited to JVM ecosystem","2026-08-12T18:18:50.320Z",[1059,1060],"Spring AI","LangChain4j",{"checked_at":1057,"ready":408,"failed":1062},[],"Nieznana kategoria: automatyzacja\u002Fagenci-ai (auto-fix)","```markdown\n# **Agents-Flex – Open-Source’owy Framework Java do Budowy Multimodalnych Agentów AI**\n\n**Agents-Flex** to lekki, open-source’owy framework napisany w Javie, zaprojektowany do tworzenia zaawansowanych agentów AI i aplikacji multimodalnych. Łączy w sobie obsługę tekstu, obrazu, mowy, wideo, embeddings, narzędzi (*tool calling*), umiejętności (*Skills*), wyszukiwania augmentowanego generowaniem (*RAG*) oraz orkiestracji agentów – wszystko przez spójne API. Narzędzie skierowane jest głównie do **deweloperów Java**, zespołów budujących systemy AI w przedsiębiorstwach oraz badaczy potrzebujących elastycznego i skalowalnego rozwiązania do integracji modeli AI z istniejącą infrastrukturą.\n\n---\n\n## **Najważniejsze Funkcje**\n\n1. **Unifikowane Java API dla Modeli AI**\n   - Obsługa różnych modeli językowych (LLM), w tym lokalnych i chmurowych (np. OpenAI, Mistral, Llama), poprzez spójne interfejsy.\n   - Możliwość łatwego przełączania się między dostawcami bez zmiany kodu aplikacji.\n\n2. **Multimodalność i Streaming**\n   - Przetwarzanie **tekstu, obrazów, mowy i wideo** w jednym workflow, z obsługą strumieniowania odpowiedzi (*streaming*) dla interakcji w czasie rzeczywistym.\n   - Wbudowane mechanizmy do obsługi **interceptorów** (np. logowanie, modyfikacja żądań\u002Fodpowiedzi).\n\n3. **Zaawansowane Mechanizmy AI**\n   - **Tool Calling \u002F Method Execution**: Wywoływanie zewnętrznych narzędzi (np. API, bazy danych) bezpośrednio z poziomu agenta AI.\n   - **Prompt Templates & Loading**: Gotowe szablony promptów i dynamiczne ładowanie kontekstu dla lepszej kontroli nad generowanymi odpowiedziami.\n   - **RAG (Retrieval-Augmented Generation)**: Integracja z bazami wiedzy (np. wektoryzowane dokumenty) dla precyzyjnych odpowiedzi opartej na danych.\n\n4. **Orkiestracja Agentów i Monitorowanie**\n   - Możliwość tworzenia **wieloagentowych systemów** z podziałem zadań i koordynacją działań.\n   - Wbudowane mechanizmy **cachingu** i **monitoringu** (np. śledzenie kosztów, czasu odpowiedzi, użycia tokenów).\n\n5. **Integracja z Istniejącą Infrastrukturą**\n   - Obsługa **MCP (Multi-Channel Protocol)** do komunikacji z innymi systemami.\n   - Łatwa instalacja poprzez **Maven\u002FGradle** i kompatybilność z popularnymi frameworkami Java (np. Spring).\n\n---\n\n## **Dla Kogo Jest Agents-Flex?**\n\n- **Deweloperzy Java** – Szukający narzędzia do szybkiego prototypowania i wdrażania aplikacji AI w ekosystemie Java.\n- **Przedsiębiorstwa** – Budujące **inteligentne systemy obsługi klienta**, **bazy wiedzy** lub **analizy danych w języku naturalnym** (NLP).\n- **Zespoły DevOps\u002FData Science** – Potrzebujące elastycznego frameworka do integracji modeli AI z istniejącymi pipeline’ami.\n- **Badacze i hobbyści** – Eksperymentujący z agentami AI, RAG lub multimodalnością bez konieczności uczenia się nowych języków (np. Python).\n- **Startupy** – Chcące zminimalizować koszty dzięki open-source’owemu rozwiązaniu z możliwością samodzielnego hostingu.\n\n---\n\n## **Cena i Model Dostępu**\n\n- **W pełni darmowy i open-source** (licencja **Apache 2.0**).\n- **Brak płatnych planów** – Użytkownik sam hostuje framework i dostarcza klucze API do modeli (np. OpenAI, Hugging Face) lub uruchamia lokalne modele (np. Ollama).\n- **Instalacja**: Dostępny poprzez **Maven Central** lub **Gradle** – wystarczy dodać zależność do projektu.\n  ```xml\n  \u003C!-- Przykład dla Maven -->\n  \u003Cdependency>\n    \u003CgroupId>ai.djl.huggingface\u003C\u002FgroupId>\n    \u003CartifactId>agents-flex\u003C\u002FartifactId>\n    \u003Cversion>[najnowsza_wersja]\u003C\u002Fversion>\n  \u003C\u002Fdependency>\n  ```\n\n---\n\n## **Zalety i Wady**\n\n✅ **Zalety:**\n1. **Elastyczność i modularność** – Możliwość dowolnej konfiguracji agentów, od prostych chatbotów po złożone systemy RAG.\n2. **W pełni open-source** – Brak ukrytych kosztów, pełna kontrola nad kodem i danymi.\n3. **Natywna integracja z Java** – Idealne dla zespołów korzystających z ekosystemu JVM, bez konieczności uczenia się Pythonu.\n\n❌ **Wady:**\n1. **Wymaga znajomości Java** – Nie jest przyjazne dla użytkowników bez doświadczenia programistycznego.\n2. **Samodzielne zarządzanie infrastrukturą** – Użytkownik musi samodzielnie hostować framework i dostarczać klucze API do modeli.\n3. **Mniejsza społeczność niż w przypadku Pythonowych alternatyw** (np. LangChain) – Może oznaczać mniej gotowych rozwiązań i wsparcia.\n\n---\n\n## **Werdykt: Czy Warto?**\n\n**Agents-Flex to potężne narzędzie dla zespołów Java, które potrzebują elastycznego, open-source’owego frameworka do budowy zaawansowanych agentów AI.** Jego największą zaletą jest **natywna integracja z ekosystemem JVM** i brak kosztów licencyjnych, co czyni go atrakcyjną alternatywą dla rozwiązań takich jak LangChain (Python). Jednak ze względu na konieczność samodzielnego hostingu i wymagania techniczne, **nie jest to narzędzie dla początkujących** – najlepiej sprawdzi się w rękach doświadczonych deweloperów lub przedsiębiorstw gotowych zainwestować w konfigurację.\n```",{"source_page_url":546,"final_url":546,"fetched_at":702},{"alternatives_count":184,"active_deals":184},[],[],{"data":1070},{"left":305,"right":547,"confidence":1071,"content":1072,"generatedAt":1098,"model":1099},0.62,{"h1":1073,"lead":1074,"sections":1075,"verdict":1088,"faq":1091},"happycapy vs Agents-Flex — desktop vs framework AI","Porównujemy happycapy, który dostarcza gotowe środowisko desktopowe z agentem AI, z Agents-Flex, lekkim frameworkiem Java do budowy agentów i aplikacji multimodalnych. Sprawdź, które narzędzie lepiej pasuje do Twoich potrzeb — jeśli szukasz rozwiązania do szybkiego użytku, czy wolisz samodzielnie skonfigurować i rozbudować system.",[1076,1079,1082,1085],{"h2":1077,"body":1078},"Czym się różnią modele licencjonowania i koszty?","happycapy ma nieznaną cenę bazową, ale dostępny jest w modelu freemium (0 $\u002Fmies.) z płatnymi planami Pro (20 $\u002Fmies.) i Max (200 $\u002Fmies.). Agents-Flex jest w pełni darmowy na licencji Apache 2.0, wymaga jednak od Ciebie posiadania własnych kluczy API do modeli AI (np. OpenAI, Anthropic). Jeśli wolisz uniknąć stałych opłat i masz już dostęp do modeli, Agents-Flex będzie tańszy.",{"h2":1080,"body":1081},"Które narzędzie oferuje więcej funkcji i możliwości?","happycapy skupia się na gotowym środowisku: przeglądarka z agentem, wsparcie kodowania Claude Code, sandbox w chmurze oraz modularny system umiejętności. Agents-Flex to Java framework obsługujący czat, obraz, mowę, wideo, wektoryzację, rerank, narzędzia, sandbox, RAG i orkiestrację agentów. Ma też wbudowane narzędzie agents-flex-text2sql do analizy danych w języku naturalnym. Wybór zależy od tego, czy potrzebujesz gotowca (happycapy), czy elastycznej platformy (Agents-Flex).",{"h2":1083,"body":1084},"Jakie są wymagania techniczne i bariery wejścia?","happycapy nie wymaga znajomości Javy — działa jako aplikacja desktopowa z interfejsem graficznym, ale ma krzywą uczenia się koncepcyjnego. Z kolei Agents-Flex jest przeznaczony dla programistów Javy, instalowany przez Maven lub Gradle. Musisz znać ekosystem Java i zarządzać własnymi kluczami API. Dla osób bez zaplecza Java happycapy będzie prostszy.",{"h2":1086,"body":1087},"Jakie są ograniczenia w skalowalności i samodzielności?","happycapy działa w chmurze i wymaga stałego połączenia z internetem. Koszty mogą rosnąć przy dużym obciążeniu. Agents-Flex hostujesz samodzielnie, co daje pełną kontrolę nad infrastrukturą i skalą. Jednak to Ty odpowiadasz za utrzymanie serwerów i kluczy API. Jeśli zależy Ci na izolacji danych i elastycznej skali, wybierz Agents-Flex.",{"pick_x":1089,"pick_y":1090},"happycapy dla Ciebie, jeśli szukasz gotowego środowiska desktopowego z agentem AI i nie chcesz martwić się konfiguracją backendu. Sprawdzi się u decydentów i operatorów, którzy potrzebują szybkiego uruchomienia bez programowania.","Agents-Flex dla Ciebie, jeśli jesteś programistą Java i potrzebujesz lekkiego, modularnego frameworka do budowania zaawansowanych agentów i aplikacji multimodalnych. Idealny dla builderów z ograniczonym budżetem i potrzebą pełnej kontroli nad kodem.",[1092,1095],{"q":1093,"a":1094},"Czy happycapy wymaga znajomości programowania?","Nie, happycapy jest aplikacją desktopową z gotowymi narzędziami, choć obsługa modularnych umiejętności może wymagać podstawowej wiedzy technicznej. Nie musisz programować w Javie.",{"q":1096,"a":1097},"Czy Agents-Flex działa z modelami innymi niż Java?","Agents-Flex jest frameworkiem Java, więc nie ma natywnego wsparcia dla innych języków. Jednak przez API możesz integrować dowolne modele (chat, obraz, mowa), pod warunkiem że dostarczysz własne klucze API.","2026-08-11T01:45:56.222Z","deepseek\u002Fdeepseek-v4-flash",{"data":1101},[1102,1112,1118,1126,1134,1141,1148,1155,1163,1170,1177,1184,1191,1199,1206,1212,1219,1227,1235,1243,1250,1257,1265,1272,1280,1287,1293,1300,1307,1314,1321,1328,1335,1341,1348,1355,1362,1368,1373,1378,1383,1387,1392,1397,1402,1406,1411,1415,1420,1424,1428,1432,1436,1440,1444,1447,1451,1455,1459,1462,1466,1469,1472,1476,1479,1482,1485,1488,1491,1494,1497,1501,1504,1507,1510,1514,1523,1528,1531,1536,1544,1548,1552,1556,1560,1568,1576,1580,1584,1588,1592,1595,1602,1609,1617,1625,1629,1633,1641,1645],{"id":1103,"type":1104,"title":1105,"body":1106,"tool_name":1107,"z2u_price":1108,"z2u_url":1109,"status":1110,"read_at":48,"created_at":1111},1348,"price_drop","💰 Vora — spadek ceny","Platforma: Dealify | Kategoria: Sales & Marketing | Cena: €67.95 (regular: €670.95) | Rabat: 90%","Vora",67.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Fvora","unread","2026-10-23T04:15:26.716Z",{"id":1113,"type":1104,"title":1114,"body":1106,"tool_name":1115,"z2u_price":1108,"z2u_url":1116,"status":1110,"read_at":48,"created_at":1117},1347,"💰 Seamless QR Code — spadek ceny","Seamless QR Code","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fseamless-qr-code","2026-10-23T04:15:26.351Z",{"id":1119,"type":1104,"title":1120,"body":1121,"tool_name":1122,"z2u_price":1123,"z2u_url":1124,"status":1110,"read_at":48,"created_at":1125},1346,"💰 Inspire Sales Academy — spadek ceny","Platforma: Dealify | Kategoria: Sales & Marketing | Cena: €226.95 (regular: €566.95) | Rabat: 60%","Inspire Sales Academy",226.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Finspire-sales-academy","2026-10-23T04:15:25.498Z",{"id":1127,"type":1104,"title":1128,"body":1129,"tool_name":1130,"z2u_price":1131,"z2u_url":1132,"status":1110,"read_at":48,"created_at":1133},1345,"💰 Contact Concert — spadek ceny","Platforma: Dealify | Kategoria: Sales & Marketing | Cena: €101.95 (regular: €1010.95) | Rabat: 90%","Contact Concert",101.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Fcontact-concert","2026-10-23T04:15:24.932Z",{"id":1135,"type":1104,"title":1136,"body":1137,"tool_name":1138,"z2u_price":1108,"z2u_url":1139,"status":1110,"read_at":48,"created_at":1140},1344,"💰 OnChat — spadek ceny","Platforma: Dealify | Kategoria: E-commerce | Cena: €67.95 (regular: €670.95) | Rabat: 90%","OnChat","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fonchat","2026-10-23T04:15:23.130Z",{"id":1142,"type":1104,"title":1143,"body":1144,"tool_name":1145,"z2u_price":1108,"z2u_url":1146,"status":1110,"read_at":48,"created_at":1147},1343,"💰 Helpmate — spadek ceny","Platforma: Dealify | Kategoria: E-commerce | Cena: €67.95 (regular: €101.95) | Rabat: 33%","Helpmate","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fhelpmate","2026-10-23T04:15:22.879Z",{"id":1149,"type":1104,"title":1150,"body":1151,"tool_name":1152,"z2u_price":1108,"z2u_url":1153,"status":1110,"read_at":48,"created_at":1154},1342,"💰 Playix.cloud — spadek ceny","Platforma: Dealify | Kategoria: Cloud | Cena: €67.95 (regular: €670.95) | Rabat: 90%","Playix.cloud","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fplayix-cloud","2026-10-23T04:15:21.439Z",{"id":1156,"type":1104,"title":1157,"body":1158,"tool_name":1159,"z2u_price":1160,"z2u_url":1161,"status":1110,"read_at":48,"created_at":1162},1341,"💰 FileLu — spadek ceny","Platforma: Dealify | Kategoria: Cloud | Cena: €169.95 (regular: €397.95) | Rabat: 57%","FileLu",169.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Ffilelu","2026-10-23T04:15:21.280Z",{"id":1164,"type":1104,"title":1165,"body":1166,"tool_name":1167,"z2u_price":1108,"z2u_url":1168,"status":1110,"read_at":48,"created_at":1169},1340,"💰 Purple Photo — spadek ceny","Platforma: Dealify | Kategoria: Creative | Cena: €67.95 (regular: €89.95) | Rabat: 24%","Purple Photo","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fpurple-photo","2026-10-23T04:15:19.971Z",{"id":1171,"type":1104,"title":1172,"body":1173,"tool_name":1174,"z2u_price":1108,"z2u_url":1175,"status":1110,"read_at":48,"created_at":1176},1339,"💰 CursorClip — spadek ceny","Platforma: Dealify | Kategoria: Creative | Cena: €67.95 (regular: €110.95) | Rabat: 39%","CursorClip","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fcursorclip","2026-10-23T04:15:19.613Z",{"id":1178,"type":1104,"title":1179,"body":1180,"tool_name":1181,"z2u_price":1108,"z2u_url":1182,"status":1110,"read_at":48,"created_at":1183},1338,"💰 Creatiyo — spadek ceny","Platforma: Dealify | Kategoria: Creative | Cena: €67.95 (regular: €226.95) | Rabat: 70%","Creatiyo","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fcreatiyo","2026-10-23T04:15:19.453Z",{"id":1185,"type":1104,"title":1186,"body":1187,"tool_name":1188,"z2u_price":1108,"z2u_url":1189,"status":1110,"read_at":48,"created_at":1190},1337,"💰 Blupry Bundle — spadek ceny","Platforma: Dealify | Kategoria: Creative | Cena: €67.95 (regular: €257.95) | Rabat: 74%","Blupry Bundle","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fblupry","2026-10-23T04:15:19.294Z",{"id":1192,"type":1104,"title":1193,"body":1194,"tool_name":1195,"z2u_price":1196,"z2u_url":1197,"status":1110,"read_at":48,"created_at":1198},1336,"💰 Al Webcam Effects — spadek ceny","Platforma: Dealify | Kategoria: Creative | Cena: €135.95 (regular: €1134.95) | Rabat: 88%","Al Webcam 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57%",168.95,"2026-10-22T04:15:20.592Z",{"id":1379,"type":1104,"title":1193,"body":1380,"tool_name":1195,"z2u_price":1381,"z2u_url":1197,"status":1110,"read_at":48,"created_at":1382},1309,"Platforma: Dealify | Kategoria: Creative | Cena: €134.95 (regular: €1132.95) | Rabat: 88%",134.95,"2026-10-22T04:15:18.661Z",{"id":1384,"type":1104,"title":1214,"body":1385,"tool_name":1216,"z2u_price":1371,"z2u_url":1217,"status":1110,"read_at":48,"created_at":1386},1308,"Platforma: Dealify | Kategoria: Productivity | Cena: €100.95 (regular: €394.95) | Rabat: 74%","2026-10-22T04:15:16.304Z",{"id":1388,"type":1104,"title":1221,"body":1389,"tool_name":1223,"z2u_price":1390,"z2u_url":1225,"status":1110,"read_at":48,"created_at":1391},1307,"Platforma: Dealify | Kategoria: Productivity | Cena: €117.95 (regular: €225.95) | Rabat: 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