{"data":{"node":{"slug":"humanlayer-12-factor-agents","name":"12-factor-agents","tagline":"Principles for building production-ready LLM-powered software","github_url":"https://github.com/humanlayer/12-factor-agents","owner":"humanlayer","repo":"12-factor-agents","owner_avatar_url":"https://avatars.githubusercontent.com/u/177409041?v=4","primary_language":"TypeScript","stars":25353,"forks":1918,"topics":["12-factor","12-factor-agents","agents","ai","context-window","framework","llms","memory","orchestration","prompt-engineering","rag"],"archived":false,"github_pushed_at":"2025-09-21T14:37:40+00:00","maintenance_label":"Slowing","stars_delta_30d":966,"url":"https://www.graphcanon.com/tools/humanlayer-12-factor-agents","markdown_url":"https://www.graphcanon.com/tools/humanlayer-12-factor-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/humanlayer-12-factor-agents","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=humanlayer-12-factor-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"},{"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":"12-factor","name":"12-factor"},{"slug":"agents","name":"agents"},{"slug":"ai","name":"ai"},{"slug":"context-window","name":"context-window"},{"slug":"framework","name":"framework"},{"slug":"llms","name":"llms"},{"slug":"memory","name":"memory"},{"slug":"orchestration","name":"orchestration"}],"edges":[{"type":"successor","direction":"out","explanation":"The '12-factor-agents' builds upon the foundational knowledge provided by 'ai-agents-for-beginners' by applying advanced principles for creating reliable LLM applications once basic agent-building skills are mastered, making it a logical next step or successor in an AI development learning pathway.","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":"related","direction":"out","explanation":null,"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":"successor","direction":"out","explanation":"`12-factor-agents` is proposed as new principles for building reliable LLM applications, potentially making `langchain`, an existing platform for creating agents and workflows, seem like a predecessor.","successor_context":{"status":"coexists","reason":"While `12-factor-agents` introduces new principles, it does not supersede all uses of `langchain`. They may coexist as different approaches."},"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":null,"successor_context":null,"tool":{"slug":"dair-ai-prompt-engineering-guide","name":"Prompt-Engineering-Guide","tagline":"Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents","github_url":"https://github.com/dair-ai/Prompt-Engineering-Guide","owner":"dair-ai","repo":"Prompt-Engineering-Guide","owner_avatar_url":"https://avatars.githubusercontent.com/u/30384625?v=4","primary_language":"MDX","stars":77531,"forks":8518,"topics":["agent","agents","ai-agents","chatgpt","deep-learning","generative-ai","language-model","llms","openai","prompt-engineering","rag"],"archived":false,"github_pushed_at":"2026-03-11T20:09:13+00:00","maintenance_label":"Slowing","stars_delta_30d":829,"url":"https://www.graphcanon.com/tools/dair-ai-prompt-engineering-guide","markdown_url":"https://www.graphcanon.com/tools/dair-ai-prompt-engineering-guide.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/dair-ai-prompt-engineering-guide","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=dair-ai-prompt-engineering-guide"}},{"type":"related","direction":"out","explanation":"`12-factor-agents` and `langflow` both deal with building, deploying, and managing AI agents and workflows.","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":"integrates_with","direction":"out","explanation":"Agentscope focuses on providing agents that are transparent and understandable, aligning with the principles set out in `12-factor-agents`, which aims to build reliable LLM applications. Both can integrate well in creating robust LLM-based systems.","successor_context":null,"tool":{"slug":"agentscope-ai-agentscope","name":"agentscope","tagline":"Build and run agents you can see, understand and trust.","github_url":"https://github.com/agentscope-ai/agentscope","owner":"agentscope-ai","repo":"agentscope","owner_avatar_url":"https://avatars.githubusercontent.com/u/211762292?v=4","primary_language":"Python","stars":28973,"forks":3367,"topics":["agent","chatbot","large-language-models","llm","llm-agent","mcp","multi-agent","multi-modal","react-agent"],"archived":false,"github_pushed_at":"2026-08-14T15:37:06+00:00","maintenance_label":"Very active","stars_delta_30d":1004,"url":"https://www.graphcanon.com/tools/agentscope-ai-agentscope","markdown_url":"https://www.graphcanon.com/tools/agentscope-ai-agentscope.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/agentscope-ai-agentscope","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=agentscope-ai-agentscope"}},{"type":"integrates_with","direction":"out","explanation":"`12-Factor Agents` provides principles guiding the development of reliable LLM applications, which `agenta` can implement as part of its LLMOps platform designed for developing and deploying large language models.","successor_context":null,"tool":{"slug":"agenta-ai-agenta","name":"agenta","tagline":"The open-source LLMOps platform for prompt management, evaluation, and observability.","github_url":"https://github.com/Agenta-AI/agenta","owner":"Agenta-AI","repo":"agenta","owner_avatar_url":"https://avatars.githubusercontent.com/u/127993667?v=4","primary_language":"TypeScript","stars":4445,"forks":609,"topics":["agent-builder","agent-observability","agent-orchestration","agent-workspace","agentic-ai","ai-agent","ai-agents","ai-automation","ai-skills-manager","ai-workflow-builder","harness","mcp","open-source","self-hosted","workflow-automation"],"archived":false,"github_pushed_at":"2026-08-07T10:41:36+00:00","maintenance_label":"Very active","stars_delta_30d":170,"url":"https://www.graphcanon.com/tools/agenta-ai-agenta","markdown_url":"https://www.graphcanon.com/tools/agenta-ai-agenta.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/agenta-ai-agenta","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=agenta-ai-agenta"}},{"type":"integrates_with","direction":"out","explanation":"Both projects focus on providing guidance and best practices for building, deploying, and managing LLM-powered applications. `12-factor-agents` provides principles that can be integrated into broader ecosystem handbooks such as the one offered by oxbshw.","successor_context":null,"tool":{"slug":"oxbshw-llm-agents-ecosystem-handbook","name":"LLM-Agents-Ecosystem-Handbook","tagline":"One-stop handbook for building, deploying, and understanding LLM agents","github_url":"https://github.com/oxbshw/LLM-Agents-Ecosystem-Handbook","owner":"oxbshw","repo":"LLM-Agents-Ecosystem-Handbook","owner_avatar_url":"https://avatars.githubusercontent.com/u/212214682?v=4","primary_language":"Python","stars":539,"forks":85,"topics":["ai","ai-agent","ai-agents","fine-tuning","finetuning-llms","freamework","llm","llmops","local-development","mcp-server","memory","rag","rag-chatbot","voice-agent"],"archived":false,"github_pushed_at":"2026-06-30T12:22:57+00:00","maintenance_label":"Steady","stars_delta_30d":3,"url":"https://www.graphcanon.com/tools/oxbshw-llm-agents-ecosystem-handbook","markdown_url":"https://www.graphcanon.com/tools/oxbshw-llm-agents-ecosystem-handbook.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/oxbshw-llm-agents-ecosystem-handbook","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=oxbshw-llm-agents-ecosystem-handbook"}},{"type":"integrates_with","direction":"in","explanation":"The LLM-Agents-Ecosystem-Handbook emphasizes a production-oriented approach, which aligns well with the principles outlined in 12-Factor Agents for building robust and sustainable AI systems.","successor_context":null,"tool":{"slug":"oxbshw-llm-agents-ecosystem-handbook","name":"LLM-Agents-Ecosystem-Handbook","tagline":"One-stop handbook for building, deploying, and understanding LLM agents","github_url":"https://github.com/oxbshw/LLM-Agents-Ecosystem-Handbook","owner":"oxbshw","repo":"LLM-Agents-Ecosystem-Handbook","owner_avatar_url":"https://avatars.githubusercontent.com/u/212214682?v=4","primary_language":"Python","stars":539,"forks":85,"topics":["ai","ai-agent","ai-agents","fine-tuning","finetuning-llms","freamework","llm","llmops","local-development","mcp-server","memory","rag","rag-chatbot","voice-agent"],"archived":false,"github_pushed_at":"2026-06-30T12:22:57+00:00","maintenance_label":"Steady","stars_delta_30d":3,"url":"https://www.graphcanon.com/tools/oxbshw-llm-agents-ecosystem-handbook","markdown_url":"https://www.graphcanon.com/tools/oxbshw-llm-agents-ecosystem-handbook.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/oxbshw-llm-agents-ecosystem-handbook","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=oxbshw-llm-agents-ecosystem-handbook"}}],"neighbours":[{"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":"Active","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","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":"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":"luhengshiwo-llmforeverybody","name":"LLMForEverybody","tagline":"LLM knowledge sharing for everyone, essential reading before big model interviews","github_url":"https://github.com/luhengshiwo/LLMForEverybody","owner":"luhengshiwo","repo":"LLMForEverybody","owner_avatar_url":"https://avatars.githubusercontent.com/u/13251733?v=4","primary_language":"Jupyter Notebook","stars":7167,"forks":662,"topics":["agent","interview-practice","interview-questions","learnllm","llm","rag"],"archived":false,"github_pushed_at":"2026-08-17T02:41:01+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/luhengshiwo-llmforeverybody","markdown_url":"https://www.graphcanon.com/tools/luhengshiwo-llmforeverybody.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/luhengshiwo-llmforeverybody","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=luhengshiwo-llmforeverybody","shared_categories":["llm-frameworks"]},{"slug":"tensorchord-awesome-llmops","name":"Awesome-LLMOps","tagline":"An awesome & curated list of best LLMOps tools for developers","github_url":"https://github.com/tensorchord/Awesome-LLMOps","owner":"tensorchord","repo":"Awesome-LLMOps","owner_avatar_url":"https://avatars.githubusercontent.com/u/100543303?v=4","primary_language":"Shell","stars":5915,"forks":993,"topics":["ai-development-tools","awesome-list","llmops","mlops"],"archived":false,"github_pushed_at":"2026-05-21T09:12:50+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/tensorchord-awesome-llmops","markdown_url":"https://www.graphcanon.com/tools/tensorchord-awesome-llmops.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/tensorchord-awesome-llmops","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=tensorchord-awesome-llmops","shared_categories":["llm-frameworks"]},{"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":"internlm-lagent","name":"lagent","tagline":"A lightweight framework for building LLM-based agents","github_url":"https://github.com/InternLM/lagent","owner":"InternLM","repo":"lagent","owner_avatar_url":"https://avatars.githubusercontent.com/u/135356492?v=4","primary_language":"Python","stars":2276,"forks":238,"topics":["agent","gpt","llm","transformers"],"archived":false,"github_pushed_at":"2026-08-03T07:18:16+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/internlm-lagent","markdown_url":"https://www.graphcanon.com/tools/internlm-lagent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/internlm-lagent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=internlm-lagent","shared_categories":["ai-agents","llm-frameworks"]},{"slug":"ray-project-llm-applications","name":"llm-applications","tagline":"Comprehensive guide to building RAG-based LLM applications for production","github_url":"https://github.com/ray-project/llm-applications","owner":"ray-project","repo":"llm-applications","owner_avatar_url":"https://avatars.githubusercontent.com/u/22125274?v=4","primary_language":"Jupyter Notebook","stars":1857,"forks":255,"topics":["anyscale","fine-tuning","llama2","llms","machine-learning","openai","ray","serving"],"archived":false,"github_pushed_at":"2024-08-02T00:27:10+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/ray-project-llm-applications","markdown_url":"https://www.graphcanon.com/tools/ray-project-llm-applications.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ray-project-llm-applications","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ray-project-llm-applications","shared_categories":["llm-frameworks"]},{"slug":"deepsense-ai-ragbits","name":"ragbits","tagline":"Building blocks for rapid development of GenAI applications","github_url":"https://github.com/deepsense-ai/ragbits","owner":"deepsense-ai","repo":"ragbits","owner_avatar_url":"https://avatars.githubusercontent.com/u/14294751?v=4","primary_language":"Python","stars":1668,"forks":143,"topics":["agents","document-search","evaluation","guardrails","llms","optimization","prompts","rag","vector-stores"],"archived":false,"github_pushed_at":"2026-05-18T07:51:25+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/deepsense-ai-ragbits","markdown_url":"https://www.graphcanon.com/tools/deepsense-ai-ragbits.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/deepsense-ai-ragbits","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=deepsense-ai-ragbits","shared_categories":["llm-frameworks"]},{"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":"morsoli-llm-books","name":"llm-books","tagline":"Notes on practical application development using LLM","github_url":"https://github.com/morsoli/llm-books","owner":"morsoli","repo":"llm-books","owner_avatar_url":"https://avatars.githubusercontent.com/u/47264881?v=4","primary_language":"Python","stars":767,"forks":53,"topics":["chatgpt","chatgpt-api","langchain","llm","llmops","openai"],"archived":false,"github_pushed_at":"2024-11-29T10:00:06+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/morsoli-llm-books","markdown_url":"https://www.graphcanon.com/tools/morsoli-llm-books.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/morsoli-llm-books","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=morsoli-llm-books","shared_categories":["llm-frameworks"]},{"slug":"stoyan-stoyanov-llmflows","name":"llmflows","tagline":"Simple Explicit Transparent LLM Apps","github_url":"https://github.com/stoyan-stoyanov/llmflows","owner":"stoyan-stoyanov","repo":"llmflows","owner_avatar_url":"https://avatars.githubusercontent.com/u/14061867?v=4","primary_language":"Python","stars":707,"forks":35,"topics":["ai","chatgpt","gpt-4","llm","llm-inference","llmops","llms","machine-learning","openai","prompt-engineering","python","question-answering","vector-database"],"archived":false,"github_pushed_at":"2025-02-20T16:53:45+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/stoyan-stoyanov-llmflows","markdown_url":"https://www.graphcanon.com/tools/stoyan-stoyanov-llmflows.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/stoyan-stoyanov-llmflows","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=stoyan-stoyanov-llmflows","shared_categories":["llm-frameworks"]},{"slug":"oxbshw-llm-agents-ecosystem-handbook","name":"LLM-Agents-Ecosystem-Handbook","tagline":"One-stop handbook for building, deploying, and understanding LLM agents","github_url":"https://github.com/oxbshw/LLM-Agents-Ecosystem-Handbook","owner":"oxbshw","repo":"LLM-Agents-Ecosystem-Handbook","owner_avatar_url":"https://avatars.githubusercontent.com/u/212214682?v=4","primary_language":"Python","stars":539,"forks":85,"topics":["ai","ai-agent","ai-agents","fine-tuning","finetuning-llms","freamework","llm","llmops","local-development","mcp-server","memory","rag","rag-chatbot","voice-agent"],"archived":false,"github_pushed_at":"2026-06-30T12:22:57+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/oxbshw-llm-agents-ecosystem-handbook","markdown_url":"https://www.graphcanon.com/tools/oxbshw-llm-agents-ecosystem-handbook.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/oxbshw-llm-agents-ecosystem-handbook","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=oxbshw-llm-agents-ecosystem-handbook","shared_categories":["ai-agents"]}]}}