{"data":{"node":{"slug":"coze-dev-coze-loop","name":"coze-loop","tagline":"Next-generation AI Agent Optimization Platform","github_url":"https://github.com/coze-dev/coze-loop","owner":"coze-dev","repo":"coze-loop","owner_avatar_url":"https://avatars.githubusercontent.com/u/157483752?v=4","primary_language":"Go","stars":5697,"forks":791,"topics":["agent","agent-evaluation","agent-observability","agentops","ai","coze","eino","evaluation","langchain","llm-observability","llmops","monitoring","observability","open-source","openai","playground","prompt-management"],"archived":false,"github_pushed_at":"2026-08-20T11:57:50+00:00","maintenance_label":"Very active","stars_delta_30d":77,"url":"https://www.graphcanon.com/tools/coze-dev-coze-loop","markdown_url":"https://www.graphcanon.com/tools/coze-dev-coze-loop.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/coze-dev-coze-loop","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=coze-dev-coze-loop"},"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":"evaluation-observability","name":"Evaluation & Observability","url":"https://www.graphcanon.com/categories/evaluation-observability","markdown_url":"https://www.graphcanon.com/categories/evaluation-observability.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/evaluation-observability"}],"tags":[{"slug":"agent","name":"agent"},{"slug":"evaluation","name":"evaluation"},{"slug":"observability","name":"observability"},{"slug":"open-source","name":"open-source"}],"edges":[{"type":"related","direction":"out","explanation":null,"successor_context":null,"tool":{"slug":"run-llama-llama-index","name":"llama_index","tagline":"Leading document agent and OCR platform","github_url":"https://github.com/run-llama/llama_index","owner":"run-llama","repo":"llama_index","owner_avatar_url":"https://avatars.githubusercontent.com/u/130722866?v=4","primary_language":"Python","stars":51442,"forks":7885,"topics":["agents","application","data","fine-tuning","framework","llamaindex","llm","multi-agents","rag","vector-database"],"archived":false,"github_pushed_at":"2026-08-06T21:24:16+00:00","maintenance_label":"Very active","stars_delta_30d":719,"url":"https://www.graphcanon.com/tools/run-llama-llama-index","markdown_url":"https://www.graphcanon.com/tools/run-llama-llama-index.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/run-llama-llama-index","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=run-llama-llama-index"}},{"type":"related","direction":"out","explanation":"Coze Loop and LangChain both focus on the development, evaluation, and operation of AI agents, making them adjacent in their scope but not direct integrations or successors.","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":"LangChain serves as the foundational tool for building and chaining AI components in agent engineering, while Coze-loop represents a more advanced platform that builds upon these concepts by offering comprehensive lifecycle management for AI agents including optimization beyond mere development and integration.","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":"Coze Loop provides the operational framework for AI agents, while RagaAI-Catalyst offers observability and evaluation features that could be integrated within Coze Loop's ecosystem.","successor_context":null,"tool":{"slug":"raga-ai-hub-ragaai-catalyst","name":"RagaAI-Catalyst","tagline":"Python SDK for AI agent observability and evaluation","github_url":"https://github.com/raga-ai-hub/RagaAI-Catalyst","owner":"raga-ai-hub","repo":"RagaAI-Catalyst","owner_avatar_url":"https://avatars.githubusercontent.com/u/161833182?v=4","primary_language":"Python","stars":16148,"forks":3565,"topics":["agentic-ai","agentic-ai-development","agentneo","agents","ai-agent-monitoring","ai-application-debugging","ai-evaluation-tools","ai-performance-optimization","ai-tool-interaction-monitoring","llm-testing","llm-tracing","llmops"],"archived":false,"github_pushed_at":"2026-02-11T14:43:33+00:00","maintenance_label":"Slowing","stars_delta_30d":5,"url":"https://www.graphcanon.com/tools/raga-ai-hub-ragaai-catalyst","markdown_url":"https://www.graphcanon.com/tools/raga-ai-hub-ragaai-catalyst.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/raga-ai-hub-ragaai-catalyst","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=raga-ai-hub-ragaai-catalyst"}},{"type":"alternative","direction":"out","explanation":"Both Coze Loop and coze-studio are focused on offering full-cycle management for AI agent development, with overlapping functionalities in development, debugging, evaluation, and monitoring.","successor_context":null,"tool":{"slug":"coze-dev-coze-studio","name":"coze-studio","tagline":"An AI agent development platform with visual tools for creation, debugging, and deployment.","github_url":"https://github.com/coze-dev/coze-studio","owner":"coze-dev","repo":"coze-studio","owner_avatar_url":"https://avatars.githubusercontent.com/u/157483752?v=4","primary_language":"TypeScript","stars":21460,"forks":3120,"topics":["agent","agent-platform","ai-plugins","chatbot","chatbot-framework","coze","coze-platform","generative-ai","go","kouzi","low-code-ai","multimodel-ai","no-code","rag","studio","typescript","workflow"],"archived":false,"github_pushed_at":"2026-07-29T03:18:43+00:00","maintenance_label":"Active","stars_delta_30d":274,"url":"https://www.graphcanon.com/tools/coze-dev-coze-studio","markdown_url":"https://www.graphcanon.com/tools/coze-dev-coze-studio.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/coze-dev-coze-studio","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=coze-dev-coze-studio"}},{"type":"related","direction":"out","explanation":"LobeHub aims to organize agents into continuous operations, which aligns with aspects of Coze Loop's lifecycle management for AI agents.","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":"Both platforms aim at improving the observability of AI agents, making them competitive alternatives in their field.","successor_context":null,"tool":{"slug":"lmnr-ai-lmnr","name":"lmnr","tagline":"Open-source observability platform for AI agents.","github_url":"https://github.com/lmnr-ai/lmnr","owner":"lmnr-ai","repo":"lmnr","owner_avatar_url":"https://avatars.githubusercontent.com/u/161496104?v=4","primary_language":"TypeScript","stars":3183,"forks":223,"topics":["agent-observability","agents","ai","ai-observability","aiops","analytics","developer-tools","evals","evaluation","llm-evaluation","llm-observability","llmops","monitoring","observability","open-source","rust","rust-lang","self-hosted","ts","typescript"],"archived":false,"github_pushed_at":"2026-08-20T09:30:48+00:00","maintenance_label":"Very active","stars_delta_30d":80,"url":"https://www.graphcanon.com/tools/lmnr-ai-lmnr","markdown_url":"https://www.graphcanon.com/tools/lmnr-ai-lmnr.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/lmnr-ai-lmnr","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=lmnr-ai-lmnr"}},{"type":"related","direction":"out","explanation":"Both LangFlow and Coze Loop provide tools for managing the lifecycle of AI agents, including deployment and operation. Although they overlap in scope, their specific functionalities make them more related than integrated.","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":"alternative","direction":"out","explanation":"Both are open-source platforms aimed at managing the lifecycle of AI agents, thus presenting them as alternatives within a similar domain.","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":"related","direction":"out","explanation":"LLM-Agents-Ecosystem-Handbook serves as a manual to help developers, which aligns with Coze Loop's aim of supporting AI agent development and operating processes.","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":"alternative","direction":"in","explanation":"Coze-Loop is described as a next-generation AI agent optimization platform, similar in nature and goal to activepieces/activepieces which seeks to automate workflows using AI agents.","successor_context":null,"tool":{"slug":"activepieces-activepieces","name":"activepieces","tagline":"AI Agents & MCPs & AI Workflow Automation","github_url":"https://github.com/activepieces/activepieces","owner":"activepieces","repo":"activepieces","owner_avatar_url":"https://avatars.githubusercontent.com/u/99494700?v=4","primary_language":"TypeScript","stars":23903,"forks":4061,"topics":["ai-agent","ai-agent-tools","ai-agents","ai-agents-framework","mcp","mcp-server","mcp-tools","mcps","n8n-alternative","no-code-automation","workflow","workflow-automation","workflows"],"archived":false,"github_pushed_at":"2026-08-19T22:40:05+00:00","maintenance_label":"Very active","stars_delta_30d":562,"url":"https://www.graphcanon.com/tools/activepieces-activepieces","markdown_url":"https://www.graphcanon.com/tools/activepieces-activepieces.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/activepieces-activepieces","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=activepieces-activepieces"}},{"type":"integrates_with","direction":"in","explanation":"Coze-Loop is an AI agent optimization platform, which could integrate with PySpur’s tools for rapid prototyping and iteration cycles.","successor_context":null,"tool":{"slug":"pyspur-dev-pyspur","name":"pyspur","tagline":"A visual playground for agentic workflows","github_url":"https://github.com/PySpur-Dev/pyspur","owner":"PySpur-Dev","repo":"pyspur","owner_avatar_url":"https://avatars.githubusercontent.com/u/182547524?v=4","primary_language":"TypeScript","stars":5771,"forks":429,"topics":["agent","agents","ai","builder","deepseek","framework","gemini","graph","human-in-the-loop","llm","llms","loops","multimodal","ollama","python","rag","reasoning","tool","trace","workflow"],"archived":false,"github_pushed_at":"2026-06-29T17:53:12+00:00","maintenance_label":"Steady","stars_delta_30d":15,"url":"https://www.graphcanon.com/tools/pyspur-dev-pyspur","markdown_url":"https://www.graphcanon.com/tools/pyspur-dev-pyspur.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/pyspur-dev-pyspur","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=pyspur-dev-pyspur"}}],"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":"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":"composiohq-composio","name":"composio","tagline":"Build AI agents that turn intent into action.","github_url":"https://github.com/ComposioHQ/composio","owner":"ComposioHQ","repo":"composio","owner_avatar_url":"https://avatars.githubusercontent.com/u/128464815?v=4","primary_language":"TypeScript","stars":29715,"forks":4706,"topics":["agentic-ai","agents","ai","ai-agents","aiagents","developer-tools","function-calling","gpt-4","javascript","js","llm","llmops","mcp","python","remote-mcp-server","sse","typescript"],"archived":false,"github_pushed_at":"2026-08-16T17:53:20+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/composiohq-composio","markdown_url":"https://www.graphcanon.com/tools/composiohq-composio.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/composiohq-composio","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=composiohq-composio","shared_categories":["ai-agents"]},{"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":"Active","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","shared_categories":["ai-agents"]},{"slug":"coze-dev-coze-studio","name":"coze-studio","tagline":"An AI agent development platform with visual tools for creation, debugging, and deployment.","github_url":"https://github.com/coze-dev/coze-studio","owner":"coze-dev","repo":"coze-studio","owner_avatar_url":"https://avatars.githubusercontent.com/u/157483752?v=4","primary_language":"TypeScript","stars":21460,"forks":3120,"topics":["agent","agent-platform","ai-plugins","chatbot","chatbot-framework","coze","coze-platform","generative-ai","go","kouzi","low-code-ai","multimodel-ai","no-code","rag","studio","typescript","workflow"],"archived":false,"github_pushed_at":"2026-07-29T03:18:43+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/coze-dev-coze-studio","markdown_url":"https://www.graphcanon.com/tools/coze-dev-coze-studio.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/coze-dev-coze-studio","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=coze-dev-coze-studio","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":"raga-ai-hub-ragaai-catalyst","name":"RagaAI-Catalyst","tagline":"Python SDK for AI agent observability and evaluation","github_url":"https://github.com/raga-ai-hub/RagaAI-Catalyst","owner":"raga-ai-hub","repo":"RagaAI-Catalyst","owner_avatar_url":"https://avatars.githubusercontent.com/u/161833182?v=4","primary_language":"Python","stars":16148,"forks":3565,"topics":["agentic-ai","agentic-ai-development","agentneo","agents","ai-agent-monitoring","ai-application-debugging","ai-evaluation-tools","ai-performance-optimization","ai-tool-interaction-monitoring","llm-testing","llm-tracing","llmops"],"archived":false,"github_pushed_at":"2026-02-11T14:43:33+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/raga-ai-hub-ragaai-catalyst","markdown_url":"https://www.graphcanon.com/tools/raga-ai-hub-ragaai-catalyst.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/raga-ai-hub-ragaai-catalyst","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=raga-ai-hub-ragaai-catalyst","shared_categories":["evaluation-observability","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":"hkuds-autoagent","name":"AutoAgent","tagline":"Fully-Automated and Zero-Code LLM Agent Framework","github_url":"https://github.com/HKUDS/AutoAgent","owner":"HKUDS","repo":"AutoAgent","owner_avatar_url":"https://avatars.githubusercontent.com/u/118165258?v=4","primary_language":"Python","stars":9738,"forks":1357,"topics":["agent","llms"],"archived":false,"github_pushed_at":"2025-10-16T06:35:28+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/hkuds-autoagent","markdown_url":"https://www.graphcanon.com/tools/hkuds-autoagent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/hkuds-autoagent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=hkuds-autoagent","shared_categories":["ai-agents"]},{"slug":"cobusgreyling-loop-engineering","name":"loop-engineering","tagline":"Tools for loop engineering with AI coding agents","github_url":"https://github.com/cobusgreyling/loop-engineering","owner":"cobusgreyling","repo":"loop-engineering","owner_avatar_url":"https://avatars.githubusercontent.com/u/7868717?v=4","primary_language":"JavaScript","stars":9490,"forks":1298,"topics":["agentic-ai","ai-agents","ai-coding","anthropic","automation","claude","claude-code","codex","coding-agents","devops-automation","devtools","github-actions","grok","llm","loop-engineering","mcp","prompt-engineering"],"archived":false,"github_pushed_at":"2026-07-27T09:21:12+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/cobusgreyling-loop-engineering","markdown_url":"https://www.graphcanon.com/tools/cobusgreyling-loop-engineering.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/cobusgreyling-loop-engineering","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=cobusgreyling-loop-engineering","shared_categories":["ai-agents"]},{"slug":"agentops-ai-agentops","name":"agentops","tagline":"Python SDK for AI agent monitoring and LLM cost tracking","github_url":"https://github.com/AgentOps-AI/agentops","owner":"AgentOps-AI","repo":"agentops","owner_avatar_url":"https://avatars.githubusercontent.com/u/140554352?v=4","primary_language":"Python","stars":5771,"forks":612,"topics":["agent","agentops","agents-sdk","ai","anthropic","autogen","cost-estimation","crewai","evals","evaluation-metrics","groq","langchain","llm","mistral","ollama","openai","openai-agents"],"archived":false,"github_pushed_at":"2026-06-25T08:25:03+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/agentops-ai-agentops","markdown_url":"https://www.graphcanon.com/tools/agentops-ai-agentops.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/agentops-ai-agentops","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=agentops-ai-agentops","shared_categories":["evaluation-observability","ai-agents"]}]}}