{"data":{"node":{"slug":"microsoft-semantic-kernel","name":"semantic-kernel","tagline":"Integrate cutting-edge LLM technology quickly and easily into your apps","github_url":"https://github.com/microsoft/semantic-kernel","owner":"microsoft","repo":"semantic-kernel","owner_avatar_url":"https://avatars.githubusercontent.com/u/6154722?v=4","primary_language":"C#","stars":28427,"forks":4707,"topics":["ai","artificial-intelligence","llm","openai","sdk"],"archived":false,"github_pushed_at":"2026-08-06T09:54:50+00:00","maintenance_label":"Very active","stars_delta_30d":142,"url":"https://www.graphcanon.com/tools/microsoft-semantic-kernel","markdown_url":"https://www.graphcanon.com/tools/microsoft-semantic-kernel.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/microsoft-semantic-kernel","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=microsoft-semantic-kernel"},"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"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"}],"tags":[{"slug":"ai","name":"ai"},{"slug":"artificial-intelligence","name":"artificial-intelligence"},{"slug":"llm","name":"llm"},{"slug":"openai","name":"openai"},{"slug":"sdk","name":"sdk"}],"edges":[{"type":"related","direction":"out","explanation":"Semantic Kernel is a tool for building AI agents, and ai-agents-for-beginners provides educational content on building these 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"}},{"type":"integrates_with","direction":"out","explanation":"Semantic Kernel could integrate with Botpress as both platforms support the creation of agents using LLMs and would enable a comprehensive ecosystem for creating conversational AI systems.","successor_context":null,"tool":{"slug":"botpress-botpress","name":"botpress","tagline":"The open-source hub to build & deploy GPT/LLM Agents","github_url":"https://github.com/botpress/botpress","owner":"botpress","repo":"botpress","owner_avatar_url":"https://avatars.githubusercontent.com/u/23510677?v=4","primary_language":"TypeScript","stars":14869,"forks":2294,"topics":["agent","ai","botpress","chatbot","chatgpt","gpt","gpt-4","langchain","llm","nlp","openai","prompt"],"archived":false,"github_pushed_at":"2026-08-14T20:49:50+00:00","maintenance_label":"Very active","stars_delta_30d":85,"url":"https://www.graphcanon.com/tools/botpress-botpress","markdown_url":"https://www.graphcanon.com/tools/botpress-botpress.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/botpress-botpress","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=botpress-botpress"}},{"type":"integrates_with","direction":"out","explanation":"Semantic-kernel, which is an SDK for building AI agents and multi-agent systems supporting various LLMs and vector databases, has an 'integrates with' relationship to langchain because langchain provides a framework for constructing and chaining interoperable components of LLM-powered applications, facilitating the integration of semantic-kernel's capabilities within larger, modular AI application","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":"related","direction":"out","explanation":"Both Semantic Kernel and lobehub deal with organizing and orchestrating AI agents, making them related in their domain focus.","successor_context":null,"tool":{"slug":"lobehub-lobehub","name":"lobehub","tagline":"Your Chief Agent Operator for managing AI agents","github_url":"https://github.com/lobehub/lobehub","owner":"lobehub","repo":"lobehub","owner_avatar_url":"https://avatars.githubusercontent.com/u/131470832?v=4","primary_language":"TypeScript","stars":81810,"forks":15807,"topics":["agent","agent-collaboration","agent-harness","ai","cao","chatgpt","chief-agent-operator","claude","deepseek","fable","gemini","glm","gpt","knowledge-base","loop-engineering","mcp","openai","skills"],"archived":false,"github_pushed_at":"2026-08-18T20:10:11+00:00","maintenance_label":"Very active","stars_delta_30d":1313,"url":"https://www.graphcanon.com/tools/lobehub-lobehub","markdown_url":"https://www.graphcanon.com/tools/lobehub-lobehub.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/lobehub-lobehub","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=lobehub-lobehub"}},{"type":"alternative","direction":"out","explanation":"QwenPaw is an AI assistant, while Semantic Kernel is a framework for building such assistants; they serve the same end goal but in different capacities.","successor_context":null,"tool":{"slug":"agentscope-ai-qwenpaw","name":"QwenPaw","tagline":"Your Personal AI Assistant","github_url":"https://github.com/agentscope-ai/QwenPaw","owner":"agentscope-ai","repo":"QwenPaw","owner_avatar_url":"https://avatars.githubusercontent.com/u/211762292?v=4","primary_language":"Python","stars":33990,"forks":3007,"topics":["agent","agent-harness","agentscope","ai-agent","ai-agents","chatbot","harness-engineering","llm-tools","llms","loop-engineering","mcp","personal-ai-assistant","self-hosted","skills","super-agent","webui"],"archived":false,"github_pushed_at":"2026-08-18T10:56:26+00:00","maintenance_label":"Very active","stars_delta_30d":10578,"url":"https://www.graphcanon.com/tools/agentscope-ai-qwenpaw","markdown_url":"https://www.graphcanon.com/tools/agentscope-ai-qwenpaw.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/agentscope-ai-qwenpaw","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=agentscope-ai-qwenpaw"}},{"type":"integrates_with","direction":"out","explanation":"TxtAI includes capabilities for semantic search which can complement Semantic Kernel's agent orchestration, allowing integration to enhance LLM performance and application scope.","successor_context":null,"tool":{"slug":"neuml-txtai","name":"txtai","tagline":"All-in-one AI framework for semantic search, LLM orchestration and language model workflows","github_url":"https://github.com/neuml/txtai","owner":"neuml","repo":"txtai","owner_avatar_url":"https://avatars.githubusercontent.com/u/59890304?v=4","primary_language":"Python","stars":12890,"forks":873,"topics":["agents","ai","ai-agents","embeddings","information-retrieval","language-model","large-language-models","llm","nlp","python","rag","retrieval-augmented-generation","search","search-engine","semantic-search","sentence-embeddings","transformers","txtai","vector-database","vector-search"],"archived":false,"github_pushed_at":"2026-08-12T13:42:39+00:00","maintenance_label":"Very active","stars_delta_30d":162,"url":"https://www.graphcanon.com/tools/neuml-txtai","markdown_url":"https://www.graphcanon.com/tools/neuml-txtai.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/neuml-txtai","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=neuml-txtai"}},{"type":"related","direction":"out","explanation":"Both langflow and Semantic Kernel aim to provide tools for building and deploying AI agents and workflows, making them related but not directly integrated or successive.","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":"successor","direction":"out","explanation":"Semantic Kernel is the predecessor to Microsoft Agent Framework (MAF), and both Semantic Kernel and autogen were part of Microsoft's efforts in building multi-agent AI applications.","successor_context":{"status":"deprecated","reason":"The repository explicitly states that Semantic Kernel has been superseded by Microsoft Agent Framework, indicating its deprecation."},"tool":{"slug":"microsoft-autogen","name":"autogen","tagline":"A programming framework for agentic AI","github_url":"https://github.com/microsoft/autogen","owner":"microsoft","repo":"autogen","owner_avatar_url":"https://avatars.githubusercontent.com/u/6154722?v=4","primary_language":"Python","stars":60139,"forks":9059,"topics":["agentic","agentic-agi","agents","ai","autogen","autogen-ecosystem","chatgpt","framework","llm-agent","llm-framework"],"archived":false,"github_pushed_at":"2026-04-15T11:59:09+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/microsoft-autogen","markdown_url":"https://www.graphcanon.com/tools/microsoft-autogen.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/microsoft-autogen","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=microsoft-autogen"}},{"type":"alternative","direction":"in","explanation":"Both Semantic Kernel and Vercel/ai offer integration of LLM technology into apps, targeting similar ecosystems but in different languages (C# vs TypeScript).","successor_context":null,"tool":{"slug":"vercel-ai","name":"ai","tagline":"AI Toolkit for TypeScript","github_url":"https://github.com/vercel/ai","owner":"vercel","repo":"ai","owner_avatar_url":"https://avatars.githubusercontent.com/u/14985020?v=4","primary_language":"TypeScript","stars":26035,"forks":4914,"topics":["anthropic","artificial-intelligence","gemini","generative-ai","generative-ui","javascript","language-model","llm","nextjs","openai","react","svelte","typescript","vercel","vue"],"archived":false,"github_pushed_at":"2026-08-05T23:56:22+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/vercel-ai","markdown_url":"https://www.graphcanon.com/tools/vercel-ai.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/vercel-ai","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=vercel-ai"}},{"type":"integrates_with","direction":"in","explanation":"'Semantic_Kernel' can be used to easily integrate and deploy advanced RAG systems detailed in 'RAG_Techniques'.","successor_context":null,"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":"integrates_with","direction":"in","explanation":"The semantic-kernel is mentioned in the repository's description, implying integration for building AI agents and integrating LLM technology into applications.","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"}},{"type":"depends_on","direction":"in","explanation":"Semantic Kernel provides a framework for integrating LLM technology into applications, and such technologies are likely to be part of, or necessary for, the harness engineering tutorials in Learn-Harness-Engineering.","successor_context":null,"tool":{"slug":"walkinglabs-learn-harness-engineering","name":"learn-harness-engineering","tagline":"Harness engineering beginner tutorial from ground up","github_url":"https://github.com/walkinglabs/learn-harness-engineering","owner":"walkinglabs","repo":"learn-harness-engineering","owner_avatar_url":"https://avatars.githubusercontent.com/u/271878417?v=4","primary_language":"TypeScript","stars":12330,"forks":1295,"topics":["agent","agentic","agentic-ai","ai","ai-agent","dsh","dsh-plugin","harness","harness-engineering","harness-framework","llm"],"archived":false,"github_pushed_at":"2026-08-19T09:42:52+00:00","maintenance_label":"Very active","stars_delta_30d":1815,"url":"https://www.graphcanon.com/tools/walkinglabs-learn-harness-engineering","markdown_url":"https://www.graphcanon.com/tools/walkinglabs-learn-harness-engineering.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/walkinglabs-learn-harness-engineering","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=walkinglabs-learn-harness-engineering"}},{"type":"integrates_with","direction":"in","explanation":"Semantic Kernel can integrate seamlessly with various LLMs including the ones underpinning RAG systems; hence, it likely integrates well with Rags for building applications.","successor_context":null,"tool":{"slug":"run-llama-rags","name":"rags","tagline":"Build ChatGPT over your data with natural language","github_url":"https://github.com/run-llama/rags","owner":"run-llama","repo":"rags","owner_avatar_url":"https://avatars.githubusercontent.com/u/130722866?v=4","primary_language":"Python","stars":6549,"forks":656,"topics":["agent","chatbot","chatgpt","gpts","llamaindex","llm","openai","rag","streamlit"],"archived":false,"github_pushed_at":"2024-04-05T05:36:59+00:00","maintenance_label":"Dormant","stars_delta_30d":6,"url":"https://www.graphcanon.com/tools/run-llama-rags","markdown_url":"https://www.graphcanon.com/tools/run-llama-rags.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/run-llama-rags","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=run-llama-rags"}},{"type":"integrates_with","direction":"in","explanation":"Honcho can be integrated with microsoft/semantic_kernel to help build stateful AI applications, as Semantic Kernel provides a framework for integrating advanced LLM technology.","successor_context":null,"tool":{"slug":"plastic-labs-honcho","name":"honcho","tagline":"Memory library for building stateful agents","github_url":"https://github.com/plastic-labs/honcho","owner":"plastic-labs","repo":"honcho","owner_avatar_url":"https://avatars.githubusercontent.com/u/123981229?v=4","primary_language":"Python","stars":6703,"forks":824,"topics":["agent-memory","ai","ai-agents","ai-memory","anthropic","context-engineering","continual-learning","embeddings","fastapi","langchain","llm","long-term-memory","memory","openai","personalization","python","rag","state-management","typescript","vector-database"],"archived":false,"github_pushed_at":"2026-08-18T17:48:36+00:00","maintenance_label":"Very active","stars_delta_30d":659,"url":"https://www.graphcanon.com/tools/plastic-labs-honcho","markdown_url":"https://www.graphcanon.com/tools/plastic-labs-honcho.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/plastic-labs-honcho","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=plastic-labs-honcho"}}],"neighbours":[{"slug":"pathwaycom-llm-app","name":"llm-app","tagline":"Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.","github_url":"https://github.com/pathwaycom/llm-app","owner":"pathwaycom","repo":"llm-app","owner_avatar_url":"https://avatars.githubusercontent.com/u/25750857?v=4","primary_language":"Jupyter Notebook","stars":59037,"forks":1466,"topics":["chatbot","hugging-face","llm","llm-local","llm-prompting","llm-security","llmops","machine-learning","open-ai","pathway","rag","real-time","retrieval-augmented-generation","vector-database","vector-index"],"archived":false,"github_pushed_at":"2026-07-05T17:59:07+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/pathwaycom-llm-app","markdown_url":"https://www.graphcanon.com/tools/pathwaycom-llm-app.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/pathwaycom-llm-app","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=pathwaycom-llm-app","shared_categories":["llm-frameworks"]},{"slug":"zylon-ai-private-gpt","name":"private-gpt","tagline":"Complete API layer for private AI applications on local models","github_url":"https://github.com/zylon-ai/private-gpt","owner":"zylon-ai","repo":"private-gpt","owner_avatar_url":"https://avatars.githubusercontent.com/u/143802295?v=4","primary_language":"Python","stars":57415,"forks":7607,"topics":["ai","ai-tools","on-premise"],"archived":false,"github_pushed_at":"2026-08-06T13:41:08+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/zylon-ai-private-gpt","markdown_url":"https://www.graphcanon.com/tools/zylon-ai-private-gpt.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/zylon-ai-private-gpt","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=zylon-ai-private-gpt","shared_categories":[]},{"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","llm-frameworks"]},{"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","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":"arindam200-awesome-ai-apps","name":"awesome-ai-apps","tagline":"A curated list of AI applications showcasing RAG, agents, and workflows.","github_url":"https://github.com/Arindam200/awesome-ai-apps","owner":"Arindam200","repo":"awesome-ai-apps","owner_avatar_url":"https://avatars.githubusercontent.com/u/109217591?v=4","primary_language":"Python","stars":13268,"forks":1721,"topics":["agents","ai","hacktoberfest","llm","mcp"],"archived":false,"github_pushed_at":"2026-07-23T14:34:29+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/arindam200-awesome-ai-apps","markdown_url":"https://www.graphcanon.com/tools/arindam200-awesome-ai-apps.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/arindam200-awesome-ai-apps","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=arindam200-awesome-ai-apps","shared_categories":["ai-agents","llm-frameworks"]},{"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":"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":"atomicbot-ai-atomic-agent","name":"atomic-agent","tagline":"Local First Ai Agent for private device execution with optimized local AI models and long context window","github_url":"https://github.com/AtomicBot-ai/atomic-agent","owner":"AtomicBot-ai","repo":"atomic-agent","owner_avatar_url":"https://avatars.githubusercontent.com/u/259533419?v=4","primary_language":"TypeScript","stars":1698,"forks":198,"topics":["agents","ai-agent","browser-automation","cli","gguf","hermes-agent","llama-cpp","llm","local-first","local-llm","nodejs","openai","openclaw","playwright","tui","typescript"],"archived":false,"github_pushed_at":"2026-08-11T21:37:28+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/atomicbot-ai-atomic-agent","markdown_url":"https://www.graphcanon.com/tools/atomicbot-ai-atomic-agent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/atomicbot-ai-atomic-agent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=atomicbot-ai-atomic-agent","shared_categories":["ai-agents"]},{"slug":"agi-inc-agent-protocol","name":"agent-protocol","tagline":"Common interface for AI agents","github_url":"https://github.com/agi-inc/agent-protocol","owner":"agi-inc","repo":"agent-protocol","owner_avatar_url":"https://avatars.githubusercontent.com/u/130614869?v=4","primary_language":"Python","stars":1458,"forks":185,"topics":["agents","ai","ai-agent","api","auto-gpt","gpt-4","javascript","llms","openapi","protocol","python","typescript"],"archived":false,"github_pushed_at":"2025-04-08T06:10:21+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/agi-inc-agent-protocol","markdown_url":"https://www.graphcanon.com/tools/agi-inc-agent-protocol.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/agi-inc-agent-protocol","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=agi-inc-agent-protocol","shared_categories":["ai-agents"]},{"slug":"benman1-generative-ai-with-langchain","name":"generative_ai_with_langchain","tagline":"Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph","github_url":"https://github.com/benman1/generative_ai_with_langchain","owner":"benman1","repo":"generative_ai_with_langchain","owner_avatar_url":"https://avatars.githubusercontent.com/u/10786684?v=4","primary_language":"Jupyter Notebook","stars":1400,"forks":582,"topics":["agent","chatgpt","claude","claude-3-5-sonnet","deepseek","deepseek-r1","gpt","gpt-4o","huggingface","langchain","langgraph","llamacpp","llms","ollama","openai"],"archived":false,"github_pushed_at":"2026-08-05T12:50:30+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/benman1-generative-ai-with-langchain","markdown_url":"https://www.graphcanon.com/tools/benman1-generative-ai-with-langchain.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/benman1-generative-ai-with-langchain","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=benman1-generative-ai-with-langchain","shared_categories":["ai-agents","llm-frameworks"]},{"slug":"e2b-dev-awesome-ai-sdks","name":"awesome-ai-sdks","tagline":"A database of SDKs for AI agents creation and management","github_url":"https://github.com/e2b-dev/awesome-ai-sdks","owner":"e2b-dev","repo":"awesome-ai-sdks","owner_avatar_url":"https://avatars.githubusercontent.com/u/129434473?v=4","primary_language":null,"stars":1213,"forks":361,"topics":["agent","agentops","agents","ai","ai-agents","awesome","awesome-list","chatgpt","e2b","framework","langchain","llama-index","llm","llmops","openai","sdk","tools","vercel"],"archived":false,"github_pushed_at":"2026-07-09T17:29:58+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/e2b-dev-awesome-ai-sdks","markdown_url":"https://www.graphcanon.com/tools/e2b-dev-awesome-ai-sdks.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/e2b-dev-awesome-ai-sdks","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=e2b-dev-awesome-ai-sdks","shared_categories":["ai-agents"]}]}}