{"data":{"node":{"slug":"nirdiamant-genai-agents","name":"GenAI_Agents","tagline":"50+ tutorials and implementations for Generative AI Agent techniques","github_url":"https://github.com/NirDiamant/GenAI_Agents","owner":"NirDiamant","repo":"GenAI_Agents","owner_avatar_url":"https://avatars.githubusercontent.com/u/28316913?v=4","primary_language":"Jupyter Notebook","stars":23814,"forks":3999,"topics":["agentic-ai","agents","ai","ai-agents","autonomous-agents","genai","generative-ai","langchain","langgraph","llm","llms","machine-learning","mcp","multi-agent","multi-agent-systems","openai","python","rag","tutorials"],"archived":false,"github_pushed_at":"2026-08-15T00:52:09+00:00","maintenance_label":"Very active","stars_delta_30d":529,"url":"https://www.graphcanon.com/tools/nirdiamant-genai-agents","markdown_url":"https://www.graphcanon.com/tools/nirdiamant-genai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/nirdiamant-genai-agents","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=nirdiamant-genai-agents"},"categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"}],"tags":[{"slug":"agentic-ai","name":"agentic-ai"},{"slug":"agents","name":"agents"},{"slug":"ai-agents","name":"ai-agents"},{"slug":"autonomous-agents","name":"autonomous-agents"},{"slug":"genai","name":"genai"},{"slug":"generative-ai","name":"generative-ai"},{"slug":"langchain","name":"langchain"},{"slug":"llm","name":"llm"}],"edges":[{"type":"integrates_with","direction":"out","explanation":"GenAI_Agents integrates with langchain because langchain's framework allows for the chaining of interoperable AI components, which supports the implementation and enhancement of various generative AI agents discussed in GenAI_Agents' tutorials.","successor_context":null,"tool":{"slug":"langchain-ai-langchain","name":"langchain","tagline":"The agent engineering platform.","github_url":"https://github.com/langchain-ai/langchain","owner":"langchain-ai","repo":"langchain","owner_avatar_url":"https://avatars.githubusercontent.com/u/126733545?v=4","primary_language":"Python","stars":143615,"forks":23930,"topics":["agents","ai","ai-agents","anthropic","chatgpt","deepagents","enterprise","framework","gemini","generative-ai","langchain","langgraph","llm","multiagent","open-source","openai","pydantic","python","rag","typescript"],"archived":false,"github_pushed_at":"2026-08-07T08:27:07+00:00","maintenance_label":"Very active","stars_delta_30d":2337,"url":"https://www.graphcanon.com/tools/langchain-ai-langchain","markdown_url":"https://www.graphcanon.com/tools/langchain-ai-langchain.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/langchain-ai-langchain","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=langchain-ai-langchain"}},{"type":"integrates_with","direction":"out","explanation":"GenAI_Agents integrates with langflow because while GenAI_Agents provides a repository rich in tutorials and implementations for Generative AI Agents, langflow offers the technical infrastructure and visual authoring tools to build and deploy these agents efficiently. This integration allows users to leverage langflow's capabilities to implement real-world applications based on the theoretical and","successor_context":null,"tool":{"slug":"langflow-ai-langflow","name":"langflow","tagline":"Tool for building and deploying AI-powered agents and workflows","github_url":"https://github.com/langflow-ai/langflow","owner":"langflow-ai","repo":"langflow","owner_avatar_url":"https://avatars.githubusercontent.com/u/85702467?v=4","primary_language":"Python","stars":152744,"forks":9747,"topics":["agents","chatgpt","generative-ai","large-language-models","multiagent","react-flow"],"archived":false,"github_pushed_at":"2026-08-02T00:44:47+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/langflow-ai-langflow","markdown_url":"https://www.graphcanon.com/tools/langflow-ai-langflow.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/langflow-ai-langflow","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=langflow-ai-langflow"}},{"type":"related","direction":"out","explanation":null,"successor_context":null,"tool":{"slug":"foundationagents-metagpt","name":"MetaGPT","tagline":"🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming","github_url":"https://github.com/FoundationAgents/MetaGPT","owner":"FoundationAgents","repo":"MetaGPT","owner_avatar_url":"https://avatars.githubusercontent.com/u/198047230?v=4","primary_language":"Python","stars":69847,"forks":8882,"topics":["agent","gpt","llm","metagpt","multi-agent"],"archived":false,"github_pushed_at":"2026-01-21T10:12:33+00:00","maintenance_label":"Slowing","stars_delta_30d":442,"url":"https://www.graphcanon.com/tools/foundationagents-metagpt","markdown_url":"https://www.graphcanon.com/tools/foundationagents-metagpt.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/foundationagents-metagpt","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=foundationagents-metagpt"}},{"type":"depends_on","direction":"out","explanation":null,"successor_context":null,"tool":{"slug":"shubhamsaboo-awesome-llm-apps","name":"awesome-llm-apps","tagline":"Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.","github_url":"https://github.com/Shubhamsaboo/awesome-llm-apps","owner":"Shubhamsaboo","repo":"awesome-llm-apps","owner_avatar_url":"https://avatars.githubusercontent.com/u/31396011?v=4","primary_language":"Python","stars":131230,"forks":19346,"topics":["agents","llms","python","rag"],"archived":false,"github_pushed_at":"2026-08-03T03:30:58+00:00","maintenance_label":"Very active","stars_delta_30d":14464,"url":"https://www.graphcanon.com/tools/shubhamsaboo-awesome-llm-apps","markdown_url":"https://www.graphcanon.com/tools/shubhamsaboo-awesome-llm-apps.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/shubhamsaboo-awesome-llm-apps","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=shubhamsaboo-awesome-llm-apps"}},{"type":"integrates_with","direction":"in","explanation":"GenAI_Agents provides a comprehensive repository for development and implementation which could integrate with Parlant to build production-ready AI-driven agents.","successor_context":null,"tool":{"slug":"emcie-co-parlant","name":"parlant","tagline":"Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.","github_url":"https://github.com/emcie-co/parlant","owner":"emcie-co","repo":"parlant","owner_avatar_url":"https://avatars.githubusercontent.com/u/160175171?v=4","primary_language":"Python","stars":18253,"forks":1551,"topics":["ai-agents","ai-alignment","customer-service","customer-success","gemini","genai","hacktoberfest","llama3","llm","openai","python"],"archived":false,"github_pushed_at":"2026-07-12T19:40:55+00:00","maintenance_label":"Steady","stars_delta_30d":74,"url":"https://www.graphcanon.com/tools/emcie-co-parlant","markdown_url":"https://www.graphcanon.com/tools/emcie-co-parlant.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/emcie-co-parlant","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=emcie-co-parlant"}},{"type":"related","direction":"in","explanation":"Both are repositories focused on the development and implementation of GenAI agents, including multi-agent systems.","successor_context":null,"tool":{"slug":"hkuds-deeptutor","name":"DeepTutor","tagline":"Lifelong Personalized Tutoring","github_url":"https://github.com/HKUDS/DeepTutor","owner":"HKUDS","repo":"DeepTutor","owner_avatar_url":"https://avatars.githubusercontent.com/u/118165258?v=4","primary_language":"Python","stars":35947,"forks":4530,"topics":["ai-agents","ai-tutor","clawdbot","cli-tool","deepresearch","interactive-learning","large-language-models","multi-agent-systems","rag"],"archived":false,"github_pushed_at":"2026-08-16T18:13:24+00:00","maintenance_label":"Very active","stars_delta_30d":8687,"url":"https://www.graphcanon.com/tools/hkuds-deeptutor","markdown_url":"https://www.graphcanon.com/tools/hkuds-deeptutor.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/hkuds-deeptutor","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=hkuds-deeptutor"}},{"type":"integrates_with","direction":"in","explanation":"Both the 'Generative AI on Google Cloud' repository and GenAI_Agents offer comprehensive resources for developing and implementing generative AI agents, aligning their purposes and tools.","successor_context":null,"tool":{"slug":"googlecloudplatform-generative-ai","name":"generative-ai","tagline":"Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform","github_url":"https://github.com/GoogleCloudPlatform/generative-ai","owner":"GoogleCloudPlatform","repo":"generative-ai","owner_avatar_url":"https://avatars.githubusercontent.com/u/2810941?v=4","primary_language":"Jupyter Notebook","stars":17594,"forks":4412,"topics":["agents","gcp","gemini","gemini-api","gen-ai","generative-ai","google","google-cloud","google-gemini","langchain","large-language-models","llm","vertex-ai","vertex-ai-gemini-api","vertexai"],"archived":false,"github_pushed_at":"2026-08-15T14:38:29+00:00","maintenance_label":"Very active","stars_delta_30d":247,"url":"https://www.graphcanon.com/tools/googlecloudplatform-generative-ai","markdown_url":"https://www.graphcanon.com/tools/googlecloudplatform-generative-ai.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/googlecloudplatform-generative-ai","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=googlecloudplatform-generative-ai"}},{"type":"alternative","direction":"in","explanation":"Both repositories serve as comprehensive resources for developing and implementing AI agents, catering to a wide audience from beginners to advanced users.","successor_context":null,"tool":{"slug":"ashishpatel26-500-ai-agents-projects","name":"500-AI-Agents-Projects","tagline":"A curated collection of AI agent use cases across various industries.","github_url":"https://github.com/ashishpatel26/500-AI-Agents-Projects","owner":"ashishpatel26","repo":"500-AI-Agents-Projects","owner_avatar_url":"https://avatars.githubusercontent.com/u/3095771?v=4","primary_language":"Python","stars":36699,"forks":6545,"topics":["ai-agents","genai"],"archived":false,"github_pushed_at":"2026-07-27T05:40:40+00:00","maintenance_label":"Active","stars_delta_30d":1840,"url":"https://www.graphcanon.com/tools/ashishpatel26-500-ai-agents-projects","markdown_url":"https://www.graphcanon.com/tools/ashishpatel26-500-ai-agents-projects.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ashishpatel26-500-ai-agents-projects","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ashishpatel26-500-ai-agents-projects"}},{"type":"successor","direction":"in","explanation":"Both repositories are related to the development and implementation of GenAI agents with detailed tutorials, but 'GenAI_Agents' is more comprehensive covering both development and implementation aspects.","successor_context":{"status":"coexists","reason":"Provides complementary resources focused on more practical application."},"tool":{"slug":"nirdiamant-rag-techniques","name":"RAG_Techniques","tagline":"Showcases advanced techniques for Retrieval-Augmented Generation (RAG) systems with detailed notebook tutorials.","github_url":"https://github.com/NirDiamant/RAG_Techniques","owner":"NirDiamant","repo":"RAG_Techniques","owner_avatar_url":"https://avatars.githubusercontent.com/u/28316913?v=4","primary_language":"Jupyter Notebook","stars":29076,"forks":3540,"topics":["agentic-rag","ai","embeddings","generative-ai","gpt","langchain","llama-index","llm","llms","machine-learning","nlp","openai","python","rag","retrieval-augmented-generation","semantic-search","tutorials","vector-database"],"archived":false,"github_pushed_at":"2026-08-15T00:52:05+00:00","maintenance_label":"Very active","stars_delta_30d":455,"url":"https://www.graphcanon.com/tools/nirdiamant-rag-techniques","markdown_url":"https://www.graphcanon.com/tools/nirdiamant-rag-techniques.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/nirdiamant-rag-techniques","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=nirdiamant-rag-techniques"}},{"type":"successor","direction":"in","explanation":"The repository agents-towards-production provides in-depth tutorials and plays a role in the lifecycle of building AI agents towards production, effectively evolving from the GenAI_Agents repo which focuses on comprehensive development and implementation.","successor_context":{"status":"recommended","reason":"Agents Towards Production builds upon concepts initially covered by GenAI_Agents but expands its focus to encompass a wider range of aspects including deployment strategies."},"tool":{"slug":"nirdiamant-agents-towards-production","name":"agents-towards-production","tagline":"End-to-end, code-first tutorials for building production-grade GenAI agents","github_url":"https://github.com/NirDiamant/agents-towards-production","owner":"NirDiamant","repo":"agents-towards-production","owner_avatar_url":"https://avatars.githubusercontent.com/u/28316913?v=4","primary_language":"Jupyter Notebook","stars":21298,"forks":2824,"topics":["agent","agent-framework","agentic-ai","agents","ai-agents","deployment","genai","generative-ai","langgraph","llm","llms","mcp","mlops","multi-agent-systems","observability","production","python","rag","tutorials"],"archived":false,"github_pushed_at":"2026-08-15T00:52:10+00:00","maintenance_label":"Very active","stars_delta_30d":191,"url":"https://www.graphcanon.com/tools/nirdiamant-agents-towards-production","markdown_url":"https://www.graphcanon.com/tools/nirdiamant-agents-towards-production.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/nirdiamant-agents-towards-production","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=nirdiamant-agents-towards-production"}},{"type":"related","direction":"in","explanation":"Both repositories involve building and implementing AI agents, suggesting a related space of work without indicating direct integration or succession.","successor_context":null,"tool":{"slug":"shanraisshan-claude-code-best-practice","name":"claude-code-best-practice","tagline":"from vibe coding to agentic engineering - practice makes claude perfect","github_url":"https://github.com/shanraisshan/claude-code-best-practice","owner":"shanraisshan","repo":"claude-code-best-practice","owner_avatar_url":"https://avatars.githubusercontent.com/u/11731897?v=4","primary_language":"HTML","stars":64723,"forks":6435,"topics":["agentic-ai","agentic-coding","agentic-engineering","agentic-workflow","ai","ai-agents","anthropic","best-practices","boris","claude","claude-ai","claude-code","claude-code-agents","claude-code-best-practices","claude-code-commands","claude-code-skills","context-engineering","pakistan","pakistani-developer","vibe-coding"],"archived":false,"github_pushed_at":"2026-08-19T06:38:38+00:00","maintenance_label":"Very active","stars_delta_30d":1603,"url":"https://www.graphcanon.com/tools/shanraisshan-claude-code-best-practice","markdown_url":"https://www.graphcanon.com/tools/shanraisshan-claude-code-best-practice.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/shanraisshan-claude-code-best-practice","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=shanraisshan-claude-code-best-practice"}},{"type":"related","direction":"in","explanation":"Both are involved in the development and implementation of GenAI agents, with tree-of-thought-llm focusing on problem-solving techniques while genai-agents provides a comprehensive repository for AI agent development.","successor_context":null,"tool":{"slug":"princeton-nlp-tree-of-thought-llm","name":"tree-of-thought-llm","tagline":"[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models","github_url":"https://github.com/princeton-nlp/tree-of-thought-llm","owner":"princeton-nlp","repo":"tree-of-thought-llm","owner_avatar_url":"https://avatars.githubusercontent.com/u/44678448?v=4","primary_language":"Python","stars":6048,"forks":624,"topics":["large-language-models","llm","prompting","tree-of-thoughts","tree-search"],"archived":false,"github_pushed_at":"2025-01-16T20:02:00+00:00","maintenance_label":"Dormant","stars_delta_30d":18,"url":"https://www.graphcanon.com/tools/princeton-nlp-tree-of-thought-llm","markdown_url":"https://www.graphcanon.com/tools/princeton-nlp-tree-of-thought-llm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/princeton-nlp-tree-of-thought-llm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=princeton-nlp-tree-of-thought-llm"}},{"type":"integrates_with","direction":"in","explanation":"GenAI_Agents provides comprehensive resources for developing GenAI agents, which could integrate with Ava to enhance its capabilities in understanding and generating human-like responses.","successor_context":null,"tool":{"slug":"neural-maze-ava-whatsapp-agent-course","name":"ava-whatsapp-agent-course","tagline":"Meet Ava, the WhatsApp Agent","github_url":"https://github.com/neural-maze/ava-whatsapp-agent-course","owner":"neural-maze","repo":"ava-whatsapp-agent-course","owner_avatar_url":"https://avatars.githubusercontent.com/u/151655127?v=4","primary_language":"Python","stars":1672,"forks":419,"topics":["agent","agent-based","agentic-workflow","agents","stt","tts","vector-database"],"archived":false,"github_pushed_at":"2025-10-20T19:12:20+00:00","maintenance_label":"Slowing","stars_delta_30d":8,"url":"https://www.graphcanon.com/tools/neural-maze-ava-whatsapp-agent-course","markdown_url":"https://www.graphcanon.com/tools/neural-maze-ava-whatsapp-agent-course.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/neural-maze-ava-whatsapp-agent-course","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=neural-maze-ava-whatsapp-agent-course"}},{"type":"related","direction":"in","explanation":"GenAI_Agents deals with comprehensive repository work for agents, including development activities which are slightly different from Agency’s scope but still related.","successor_context":null,"tool":{"slug":"operand-agency","name":"agency","tagline":"A fast and minimal framework for building agentic systems","github_url":"https://github.com/operand/agency","owner":"operand","repo":"agency","owner_avatar_url":"https://avatars.githubusercontent.com/u/307146?v=4","primary_language":"Python","stars":489,"forks":28,"topics":["actor","actor-model","agent","agents","agi","ai","api","artificial-general-intelligence","artificial-intelligence","autonomous-agent","autonomous-agents","framework","llm","llmops","llms","machine-learning","minimal","python"],"archived":false,"github_pushed_at":"2026-06-10T20:36:18+00:00","maintenance_label":"Steady","stars_delta_30d":2,"url":"https://www.graphcanon.com/tools/operand-agency","markdown_url":"https://www.graphcanon.com/tools/operand-agency.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/operand-agency","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=operand-agency"}},{"type":"alternative","direction":"in","explanation":"Both repositories provide tutorials on Generative AI agents, but they serve as different starting points and cover varying aspects of building GenAI agents.","successor_context":null,"tool":{"slug":"microsoft-ai-agents-for-beginners","name":"ai-agents-for-beginners","tagline":"12 Lessons to Get Started Building AI Agents","github_url":"https://github.com/microsoft/ai-agents-for-beginners","owner":"microsoft","repo":"ai-agents-for-beginners","owner_avatar_url":"https://avatars.githubusercontent.com/u/6154722?v=4","primary_language":"Jupyter Notebook","stars":72665,"forks":24038,"topics":["agentic-ai","agentic-framework","agentic-rag","ai-agents","ai-agents-framework","autogen","foundry","foundry-local","generative-ai","microsoft-foundry","semantic-kernel"],"archived":false,"github_pushed_at":"2026-08-18T11:47:04+00:00","maintenance_label":"Very active","stars_delta_30d":2773,"url":"https://www.graphcanon.com/tools/microsoft-ai-agents-for-beginners","markdown_url":"https://www.graphcanon.com/tools/microsoft-ai-agents-for-beginners.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/microsoft-ai-agents-for-beginners","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=microsoft-ai-agents-for-beginners"}}],"neighbours":[{"slug":"microsoft-ai-agents-for-beginners","name":"ai-agents-for-beginners","tagline":"12 Lessons to Get Started Building AI Agents","github_url":"https://github.com/microsoft/ai-agents-for-beginners","owner":"microsoft","repo":"ai-agents-for-beginners","owner_avatar_url":"https://avatars.githubusercontent.com/u/6154722?v=4","primary_language":"Jupyter Notebook","stars":72665,"forks":24038,"topics":["agentic-ai","agentic-framework","agentic-rag","ai-agents","ai-agents-framework","autogen","foundry","foundry-local","generative-ai","microsoft-foundry","semantic-kernel"],"archived":false,"github_pushed_at":"2026-08-18T11:47:04+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/microsoft-ai-agents-for-beginners","markdown_url":"https://www.graphcanon.com/tools/microsoft-ai-agents-for-beginners.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/microsoft-ai-agents-for-beginners","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=microsoft-ai-agents-for-beginners","shared_categories":["ai-agents"]},{"slug":"patchy631-ai-engineering-hub","name":"ai-engineering-hub","tagline":"Tutorials on LLMs, RAGs, and real-world AI agent applications","github_url":"https://github.com/patchy631/ai-engineering-hub","owner":"patchy631","repo":"ai-engineering-hub","owner_avatar_url":"https://avatars.githubusercontent.com/u/38653995?v=4","primary_language":"Jupyter Notebook","stars":37020,"forks":6107,"topics":["agents","ai","llms","machine-learning","mcp","rag"],"archived":false,"github_pushed_at":"2026-07-27T18:43:06+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/patchy631-ai-engineering-hub","markdown_url":"https://www.graphcanon.com/tools/patchy631-ai-engineering-hub.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/patchy631-ai-engineering-hub","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=patchy631-ai-engineering-hub","shared_categories":["ai-agents"]},{"slug":"reworkd-agentgpt","name":"AgentGPT","tagline":"Assembler for autonomous AI Agents","github_url":"https://github.com/reworkd/AgentGPT","owner":"reworkd","repo":"AgentGPT","owner_avatar_url":"https://avatars.githubusercontent.com/u/120154269?v=4","primary_language":"TypeScript","stars":36304,"forks":9288,"topics":["agent","agentgpt","agents","agi","ai","ai-agents","autogpt","baby-agi","gpt","langchain","llm","next","openai","t3","t3-stack"],"archived":true,"github_pushed_at":"2025-04-29T01:19:32+00:00","maintenance_label":"Archived","url":"https://www.graphcanon.com/tools/reworkd-agentgpt","markdown_url":"https://www.graphcanon.com/tools/reworkd-agentgpt.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/reworkd-agentgpt","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=reworkd-agentgpt","shared_categories":["ai-agents"]},{"slug":"e2b-dev-awesome-ai-agents","name":"awesome-ai-agents","tagline":"A list of AI autonomous agents","github_url":"https://github.com/e2b-dev/awesome-ai-agents","owner":"e2b-dev","repo":"awesome-ai-agents","owner_avatar_url":"https://avatars.githubusercontent.com/u/129434473?v=4","primary_language":null,"stars":29538,"forks":3335,"topics":["agent","ai","artificial-intelligence","autogpt","autonomous-agents","awesome","babyagi","copilot","gpt","gpt-4","gpt-engineer","openai","python"],"archived":false,"github_pushed_at":"2026-07-09T17:41:48+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/e2b-dev-awesome-ai-agents","markdown_url":"https://www.graphcanon.com/tools/e2b-dev-awesome-ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/e2b-dev-awesome-ai-agents","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=e2b-dev-awesome-ai-agents","shared_categories":["ai-agents"]},{"slug":"nirdiamant-agents-towards-production","name":"agents-towards-production","tagline":"End-to-end, code-first tutorials for building production-grade GenAI agents","github_url":"https://github.com/NirDiamant/agents-towards-production","owner":"NirDiamant","repo":"agents-towards-production","owner_avatar_url":"https://avatars.githubusercontent.com/u/28316913?v=4","primary_language":"Jupyter Notebook","stars":21298,"forks":2824,"topics":["agent","agent-framework","agentic-ai","agents","ai-agents","deployment","genai","generative-ai","langgraph","llm","llms","mcp","mlops","multi-agent-systems","observability","production","python","rag","tutorials"],"archived":false,"github_pushed_at":"2026-08-15T00:52:10+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/nirdiamant-agents-towards-production","markdown_url":"https://www.graphcanon.com/tools/nirdiamant-agents-towards-production.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/nirdiamant-agents-towards-production","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=nirdiamant-agents-towards-production","shared_categories":["ai-agents"]},{"slug":"langchain-ai-langchainjs","name":"langchainjs","tagline":"The agent engineering platform","github_url":"https://github.com/langchain-ai/langchainjs","owner":"langchain-ai","repo":"langchainjs","owner_avatar_url":"https://avatars.githubusercontent.com/u/126733545?v=4","primary_language":"TypeScript","stars":18020,"forks":3298,"topics":[],"archived":false,"github_pushed_at":"2026-08-07T15:58:42+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/langchain-ai-langchainjs","markdown_url":"https://www.graphcanon.com/tools/langchain-ai-langchainjs.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/langchain-ai-langchainjs","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=langchain-ai-langchainjs","shared_categories":["ai-agents"]},{"slug":"microsoft-agent-framework","name":"agent-framework","tagline":"Framework for building and deploying AI agents and multi-agent workflows","github_url":"https://github.com/microsoft/agent-framework","owner":"microsoft","repo":"agent-framework","owner_avatar_url":"https://avatars.githubusercontent.com/u/6154722?v=4","primary_language":"Python","stars":12718,"forks":2143,"topics":["agent-framework","agentic-ai","agents","ai","dotnet","multi-agent","orchestration","python","sdk","workflows"],"archived":false,"github_pushed_at":"2026-08-10T23:32:05+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/microsoft-agent-framework","markdown_url":"https://www.graphcanon.com/tools/microsoft-agent-framework.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/microsoft-agent-framework","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=microsoft-agent-framework","shared_categories":["ai-agents"]},{"slug":"open-multi-agent-open-multi-agent","name":"open-multi-agent","tagline":"Orchestrates AI agents with dynamic workflows via runtime task planning.","github_url":"https://github.com/open-multi-agent/open-multi-agent","owner":"open-multi-agent","repo":"open-multi-agent","owner_avatar_url":"https://avatars.githubusercontent.com/u/279300633?v=4","primary_language":"TypeScript","stars":6768,"forks":2420,"topics":["agent-framework","agent-orchestration","agentic-ai","ai-agents","anthropic","claude","claude-code","crewai-alternative","deepseek","dynamic-workflows","gemini","langgraph-alternative","llm","local-llm","mcp","multi-agent","nodejs","ollama","openai","typescript"],"archived":false,"github_pushed_at":"2026-08-12T17:51:09+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/open-multi-agent-open-multi-agent","markdown_url":"https://www.graphcanon.com/tools/open-multi-agent-open-multi-agent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/open-multi-agent-open-multi-agent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=open-multi-agent-open-multi-agent","shared_categories":["ai-agents"]},{"slug":"wenyuchiou-awesome-agentic-ai-zh","name":"awesome-agentic-ai-zh","tagline":"A trilingual learning roadmap for agentic AI","github_url":"https://github.com/WenyuChiou/awesome-agentic-ai-zh","owner":"WenyuChiou","repo":"awesome-agentic-ai-zh","owner_avatar_url":"https://avatars.githubusercontent.com/u/162016108?v=4","primary_language":"Python","stars":4866,"forks":641,"topics":["agentic-ai","agentic-workflows","ai-agent","ai-agents","awesome-list","chinese-llm","claude-code","claude-skills","cli","learning-roadmap","llm","llm-agents","mcp","model-context-protocol","multi-agent-systems","prompt-engineering","rag","trilingual","tutorial"],"archived":false,"github_pushed_at":"2026-07-22T02:46:42+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/wenyuchiou-awesome-agentic-ai-zh","markdown_url":"https://www.graphcanon.com/tools/wenyuchiou-awesome-agentic-ai-zh.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/wenyuchiou-awesome-agentic-ai-zh","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=wenyuchiou-awesome-agentic-ai-zh","shared_categories":["ai-agents"]},{"slug":"giovannipasq-agentic-rag-for-dummies","name":"agentic-rag-for-dummies","tagline":"A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents","github_url":"https://github.com/GiovanniPasq/agentic-rag-for-dummies","owner":"GiovanniPasq","repo":"agentic-rag-for-dummies","owner_avatar_url":"https://avatars.githubusercontent.com/u/33225259?v=4","primary_language":"Jupyter Notebook","stars":3893,"forks":499,"topics":["agent","agentic-ai","agentic-rag","agents","ai-agents","bm25","generative-ai","gradio","langchain","langgraph","llm","ollama","qdrant","rag","rag-agents","rag-chatbot","rag-pipeline","retrieval-augmented-generation","retrieval-augmented-generation-rag"],"archived":false,"github_pushed_at":"2026-07-25T11:33:02+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/giovannipasq-agentic-rag-for-dummies","markdown_url":"https://www.graphcanon.com/tools/giovannipasq-agentic-rag-for-dummies.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/giovannipasq-agentic-rag-for-dummies","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=giovannipasq-agentic-rag-for-dummies","shared_categories":["ai-agents"]},{"slug":"lazyagi-lazyllm","name":"LazyLLM","tagline":"Easiest and laziest way for building multi-agent LLMs applications.","github_url":"https://github.com/LazyAGI/LazyLLM","owner":"LazyAGI","repo":"LazyLLM","owner_avatar_url":"https://avatars.githubusercontent.com/u/171651681?v=4","primary_language":"Python","stars":3866,"forks":404,"topics":["agents","ai-agent","data","deep-learning","documentation-tool","finetuning","framework","knowlege-graph","langchain","lazyllm","llamaindex","llm","llms","rag"],"archived":false,"github_pushed_at":"2026-08-07T03:03:46+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/lazyagi-lazyllm","markdown_url":"https://www.graphcanon.com/tools/lazyagi-lazyllm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/lazyagi-lazyllm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=lazyagi-lazyllm","shared_categories":["ai-agents"]},{"slug":"melih-unsal-demogpt","name":"DemoGPT","tagline":"Create LLM agents in a second with your prompts.","github_url":"https://github.com/melih-unsal/DemoGPT","owner":"melih-unsal","repo":"DemoGPT","owner_avatar_url":"https://avatars.githubusercontent.com/u/34304254?v=4","primary_language":"Python","stars":1904,"forks":224,"topics":["agent","agents","ai","artificial-intelligence","autogpt","autonomous-agents","chatgpt","chatgpt-api","deepseek","demo","gpt-4","langchain","langchain-app","langchain-python","llms","o1","openai","python","streamlit","streamlit-application"],"archived":false,"github_pushed_at":"2026-04-01T12:30:12+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/melih-unsal-demogpt","markdown_url":"https://www.graphcanon.com/tools/melih-unsal-demogpt.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/melih-unsal-demogpt","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=melih-unsal-demogpt","shared_categories":["ai-agents"]}]}}