{"data":{"node":{"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"},"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":"agent","name":"agent"},{"slug":"chatbot","name":"chatbot"},{"slug":"large-language-models","name":"large language models"},{"slug":"llm","name":"llm"},{"slug":"llm-agent","name":"llm-agent"},{"slug":"multi-agent","name":"multi-agent"},{"slug":"multi-modal","name":"multi-modal"},{"slug":"react-agent","name":"react-agent"}],"edges":[{"type":"alternative","direction":"out","explanation":"Flowise and Agentscope both aim at building AI agents but differ in their approach; Flowise focuses on a visual building method whereas Agentscope emphasizes transparency, understanding, and trust.","successor_context":null,"tool":{"slug":"flowiseai-flowise","name":"Flowise","tagline":"Build AI Agents, Visually","github_url":"https://github.com/FlowiseAI/Flowise","owner":"FlowiseAI","repo":"Flowise","owner_avatar_url":"https://avatars.githubusercontent.com/u/128289781?v=4","primary_language":"TypeScript","stars":55246,"forks":24869,"topics":["agentic-ai","agentic-workflow","agents","artificial-intelligence","chatbot","chatgpt","javascript","langchain","large-language-models","low-code","multiagent-systems","no-code","openai","rag","react","typescript","workflow-automation"],"archived":false,"github_pushed_at":"2026-08-07T05:55:02+00:00","maintenance_label":"Very active","stars_delta_30d":816,"url":"https://www.graphcanon.com/tools/flowiseai-flowise","markdown_url":"https://www.graphcanon.com/tools/flowiseai-flowise.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/flowiseai-flowise","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=flowiseai-flowise"}},{"type":"integrates_with","direction":"out","explanation":"Agentscope and LangChain both focus on building AI agents but Agentscope emphasizes visibility, understanding, and trust in agents' actions which could complement the engineering platform of LangChain.","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":"AgentScope's framework for creating and managing intelligent agents builds upon the foundational concepts provided by LangChain, which offers a platform for constructing agents via interoperable components and third-party integrations. This progression indicates that AgentScope can be considered a successor to LangChain as it likely incorporates or improves upon LangChain’s approach to agent-based","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":null,"successor_context":null,"tool":{"slug":"firecrawl-firecrawl","name":"firecrawl","tagline":"The API to search, scrape, and interact with the web at scale. 🔥","github_url":"https://github.com/firecrawl/firecrawl","owner":"firecrawl","repo":"firecrawl","owner_avatar_url":"https://avatars.githubusercontent.com/u/135057108?v=4","primary_language":"TypeScript","stars":167794,"forks":9398,"topics":["ai","ai-agents","ai-crawler","ai-scraping","ai-search","crawler","data-extraction","html-to-markdown","llm","markdown","scraper","scraping","web-crawler","web-data","web-data-extraction","web-scraper","web-scraping","web-search","webscraping"],"archived":false,"github_pushed_at":"2026-08-15T19:52:46+00:00","maintenance_label":"Very active","stars_delta_30d":15884,"url":"https://www.graphcanon.com/tools/firecrawl-firecrawl","markdown_url":"https://www.graphcanon.com/tools/firecrawl-firecrawl.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/firecrawl-firecrawl","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=firecrawl-firecrawl"}},{"type":"integrates_with","direction":"out","explanation":"LangFlow is a tool for building and deploying AI-powered agents and workflows which makes it a strong integrator with Agentscope that shares similar goals in creating understandable and trustworthy agents.","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":"in","explanation":"Both CrewAI and agentscope are frameworks for building and managing autonomous AI agents, though they may have different approaches and focus.","successor_context":null,"tool":{"slug":"crewaiinc-crewai","name":"crewAI","tagline":"Framework for orchestrating role-playing AI agents","github_url":"https://github.com/crewAIInc/crewAI","owner":"crewAIInc","repo":"crewAI","owner_avatar_url":"https://avatars.githubusercontent.com/u/170677839?v=4","primary_language":"Python","stars":56779,"forks":8094,"topics":["agents","ai","ai-agents","aiagentframework","llms"],"archived":false,"github_pushed_at":"2026-08-08T07:26:39+00:00","maintenance_label":"Very active","stars_delta_30d":1647,"url":"https://www.graphcanon.com/tools/crewaiinc-crewai","markdown_url":"https://www.graphcanon.com/tools/crewaiinc-crewai.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/crewaiinc-crewai","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=crewaiinc-crewai"}},{"type":"alternative","direction":"in","explanation":"Agentscope focuses on building trustworthy agents which overlaps with CowAgent’s goal of creating a personal assistant with memory and self-evolution capabilities.","successor_context":null,"tool":{"slug":"zhayujie-cowagent","name":"CowAgent","tagline":"Open-source super AI assistant & Agent Harness","github_url":"https://github.com/zhayujie/CowAgent","owner":"zhayujie","repo":"CowAgent","owner_avatar_url":"https://avatars.githubusercontent.com/u/26161723?v=4","primary_language":"Python","stars":46520,"forks":10316,"topics":["ai","ai-agent","ai-agents","chatgpt-on-wechat","claude","claude-code","codex","cowagent","deepseek","harness","llm","mcp","multi-agent","openai","openclaw","skills"],"archived":false,"github_pushed_at":"2026-08-15T12:26:50+00:00","maintenance_label":"Very active","stars_delta_30d":506,"url":"https://www.graphcanon.com/tools/zhayujie-cowagent","markdown_url":"https://www.graphcanon.com/tools/zhayujie-cowagent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/zhayujie-cowagent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=zhayujie-cowagent"}},{"type":"alternative","direction":"in","explanation":"Both Agno and agentscope focus on enabling users to build, run, and understand AI agents effectively. They share the goal of providing transparency and trust in agent development.","successor_context":null,"tool":{"slug":"agno-agi-agno","name":"agno","tagline":"Build, run, and manage your own agent platform.","github_url":"https://github.com/agno-agi/agno","owner":"agno-agi","repo":"agno","owner_avatar_url":"https://avatars.githubusercontent.com/u/104874993?v=4","primary_language":"Python","stars":41785,"forks":5793,"topics":["agents","ai","ai-agents","developer-tools","python"],"archived":false,"github_pushed_at":"2026-08-19T17:58:30+00:00","maintenance_label":"Very active","stars_delta_30d":487,"url":"https://www.graphcanon.com/tools/agno-agi-agno","markdown_url":"https://www.graphcanon.com/tools/agno-agi-agno.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/agno-agi-agno","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=agno-agi-agno"}},{"type":"alternative","direction":"in","explanation":"Both Agent Zero and agentscope provide frameworks for building, running, and understanding AI agents.","successor_context":null,"tool":{"slug":"agent0ai-agent-zero","name":"agent-zero","tagline":"Agent Zero AI framework","github_url":"https://github.com/agent0ai/agent-zero","owner":"agent0ai","repo":"agent-zero","owner_avatar_url":"https://avatars.githubusercontent.com/u/216033749?v=4","primary_language":"Python","stars":18906,"forks":3746,"topics":["agent","ai","assistant","autonomous","linux","zero"],"archived":false,"github_pushed_at":"2026-08-16T17:45:50+00:00","maintenance_label":"Very active","stars_delta_30d":453,"url":"https://www.graphcanon.com/tools/agent0ai-agent-zero","markdown_url":"https://www.graphcanon.com/tools/agent0ai-agent-zero.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/agent0ai-agent-zero","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=agent0ai-agent-zero"}},{"type":"alternative","direction":"in","explanation":"Agentscope is designed similarly to Parlant for building agents you can rely on for customer-facing interactions, emphasizing trust and understandability.","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":"alternative","direction":"in","explanation":"Agentscope and MindsHub Cowork both focus on the development of agents that users can see, understand, and trust, indicating they are alternatives in the market.","successor_context":null,"tool":{"slug":"mindsdb-minds","name":"mindshub","tagline":"Get real work done with AI. Easily swap models while keeping your builds intact.","github_url":"https://github.com/mindsdb/mindshub","owner":"mindsdb","repo":"mindshub","owner_avatar_url":"https://avatars.githubusercontent.com/u/31035808?v=4","primary_language":"Makefile","stars":39496,"forks":6224,"topics":["agents","ai","anton","artificial-inteligence","claude","claude-cowork","codex","cowork","deepseek","glm","hermes","hermes-agent","kimi","mcp","mindsdb"],"archived":false,"github_pushed_at":"2026-07-10T16:53:47+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/mindsdb-minds","markdown_url":"https://www.graphcanon.com/tools/mindsdb-minds.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/mindsdb-minds","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=mindsdb-minds"}},{"type":"integrates_with","direction":"in","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":"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"}},{"type":"integrates_with","direction":"in","explanation":"QwenPaw likely integrates with Agentscope as it offers a harness for multiple AI and coding tools, which QwenPaw can use to extend its capabilities.","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":"alternative","direction":"in","explanation":"Both aim to support the development and operation of trustworthy agents, differing in their implementation details and community focus.","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":"in","explanation":"Both are related to building trustworthy agents, but they address the topic from different angles: 'open-swe' focuses on asynchronous coding agents while 'agentscope' is about seeing and understanding the actions of AI agents.","successor_context":null,"tool":{"slug":"langchain-ai-open-swe","name":"open-swe","tagline":"An Open-Source Asynchronous Coding Agent","github_url":"https://github.com/langchain-ai/open-swe","owner":"langchain-ai","repo":"open-swe","owner_avatar_url":"https://avatars.githubusercontent.com/u/126733545?v=4","primary_language":"Python","stars":10576,"forks":1228,"topics":["agent","agents","ai","anthropic","claudecode","llm","llms","openai"],"archived":false,"github_pushed_at":"2026-08-19T11:57:07+00:00","maintenance_label":"Very active","stars_delta_30d":221,"url":"https://www.graphcanon.com/tools/langchain-ai-open-swe","markdown_url":"https://www.graphcanon.com/tools/langchain-ai-open-swe.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/langchain-ai-open-swe","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=langchain-ai-open-swe"}},{"type":"integrates_with","direction":"in","explanation":"Agentscope focuses on building and running trusted AI agents, which can be facilitated by the foundational knowledge taught 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":"related","direction":"in","explanation":"Agentscope is used for building trustworthy and transparent agents, while Hermes Studio provides a UI/runtime environment for agent interaction and management.","successor_context":null,"tool":{"slug":"ekkolearnai-hermes-studio","name":"hermes-studio","tagline":"Hermes Studio: a web dashboard for Hermes Agent offering multi-platform AI chat, session management, scheduled tasks, and usage analytics.","github_url":"https://github.com/EKKOLearnAI/hermes-studio","owner":"EKKOLearnAI","repo":"hermes-studio","owner_avatar_url":"https://avatars.githubusercontent.com/u/152005280?v=4","primary_language":"TypeScript","stars":10426,"forks":1273,"topics":["agent","ai-agent","chat-ui","dashboard","hermes","hermes-agent","hermes-web-ui","llm","multi-model","multi-platform","self-hosted","typescript","vue3","web-ui"],"archived":false,"github_pushed_at":"2026-08-19T04:00:37+00:00","maintenance_label":"Very active","stars_delta_30d":1112,"url":"https://www.graphcanon.com/tools/ekkolearnai-hermes-studio","markdown_url":"https://www.graphcanon.com/tools/ekkolearnai-hermes-studio.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ekkolearnai-hermes-studio","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ekkolearnai-hermes-studio"}},{"type":"related","direction":"in","explanation":"Both Mobilerun and Agentscope aim to build and deploy agents for various tasks, showing a common interest in the space of autonomous AI execution.","successor_context":null,"tool":{"slug":"droidrun-mobilerun","name":"mobilerun","tagline":"Automate your mobile devices with natural language commands - an LLM agnostic mobile Agent","github_url":"https://github.com/droidrun/mobilerun","owner":"droidrun","repo":"mobilerun","owner_avatar_url":"https://avatars.githubusercontent.com/u/207381488?v=4","primary_language":"Python","stars":8880,"forks":951,"topics":["ai-agents","android","android-automation","hacktoberfest","mobile-automation"],"archived":false,"github_pushed_at":"2026-07-23T19:01:51+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/droidrun-mobilerun","markdown_url":"https://www.graphcanon.com/tools/droidrun-mobilerun.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/droidrun-mobilerun","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=droidrun-mobilerun"}},{"type":"integrates_with","direction":"in","explanation":"Plano provides the backend infrastructure for building and managing AI agents with capabilities such as LLM routing, while Agentscope focuses on creating visualizable and understandable AI agents which could benefit from Plano's orchestration and guardrail features.","successor_context":null,"tool":{"slug":"katanemo-plano","name":"plano","tagline":"An AI-native proxy and data plane for agentic apps","github_url":"https://github.com/katanemo/plano","owner":"katanemo","repo":"plano","owner_avatar_url":"https://avatars.githubusercontent.com/u/112724757?v=4","primary_language":"Rust","stars":7004,"forks":482,"topics":["ai-gateway","ai-gateway-support","envoy","envoyproxy","gateway","generative-ai","llm-gateway","llm-inference","llm-proxy","llm-routing","llmops","llms","openai","prompt","proxy","proxy-server","routing"],"archived":false,"github_pushed_at":"2026-08-19T19:29:08+00:00","maintenance_label":"Very active","stars_delta_30d":127,"url":"https://www.graphcanon.com/tools/katanemo-plano","markdown_url":"https://www.graphcanon.com/tools/katanemo-plano.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/katanemo-plano","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=katanemo-plano"}},{"type":"alternative","direction":"in","explanation":"PySpur and agentscope both focus on building and operating AI agents with a strong emphasis on visibility, understanding, and trust.","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"}},{"type":"alternative","direction":"in","explanation":"Both Better Agents and agentscope aim at building trustable and understandable AI agents, though they likely differ in their methodologies: while Better Agents focuses on standards and best practices, agentscope emphasizes visibility into the inner workings of the agents.","successor_context":null,"tool":{"slug":"langwatch-better-agents","name":"better-agents","tagline":"Standards for building agents, better","github_url":"https://github.com/langwatch/better-agents","owner":"langwatch","repo":"better-agents","owner_avatar_url":"https://avatars.githubusercontent.com/u/146763322?v=4","primary_language":"TypeScript","stars":1553,"forks":152,"topics":["agent-framework","agent-testing","ai-agents","cli","dev-tool","lllm","llmops","mcp","python","typescript"],"archived":false,"github_pushed_at":"2026-06-03T17:12:53+00:00","maintenance_label":"Steady","stars_delta_30d":1,"url":"https://www.graphcanon.com/tools/langwatch-better-agents","markdown_url":"https://www.graphcanon.com/tools/langwatch-better-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/langwatch-better-agents","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=langwatch-better-agents"}},{"type":"related","direction":"in","explanation":"Both OpenAgent and Agentscope focus on building transparent, trusted AI agents but in slightly different ways.","successor_context":null,"tool":{"slug":"haohao-end-openagent","name":"openagent","tagline":"Harness architecture for rapidly building vertical AI agents","github_url":"https://github.com/Haohao-end/openagent","owner":"Haohao-end","repo":"openagent","owner_avatar_url":"https://avatars.githubusercontent.com/u/184792454?v=4","primary_language":"Python","stars":792,"forks":80,"topics":["agent","ai","celery","deepagents","deepresearch","deepseek","docker","faiss-vector-database","flask","harness-engineering","langchain","langgraph","llmops","mcp","nginx","postgresql","skills","tailwindcss","vue","weaviate"],"archived":false,"github_pushed_at":"2026-07-17T13:36:09+00:00","maintenance_label":"Steady","stars_delta_30d":21,"url":"https://www.graphcanon.com/tools/haohao-end-openagent","markdown_url":"https://www.graphcanon.com/tools/haohao-end-openagent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/haohao-end-openagent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=haohao-end-openagent"}},{"type":"integrates_with","direction":"in","explanation":"'Agency' could integrate with 'Agentscope' to build and run agents that are observable, understandable, and trustworthy.","successor_context":null,"tool":{"slug":"neurocult-agency","name":"agency","tagline":"Library for exploring Large Language Models and generative AI in Go","github_url":"https://github.com/neurocult/agency","owner":"neurocult","repo":"agency","owner_avatar_url":"https://avatars.githubusercontent.com/u/112250396?v=4","primary_language":"Go","stars":514,"forks":36,"topics":["agents","ai","artificial-general-intelligence","artificial-intelligence","artificial-neural-networks","autonomous-agents","chatgpt","generative-ai","go","golang","gpt","language-models","llm","llmops","machine-learning","neural-network","nlp","openai","rag","vector-database"],"archived":false,"github_pushed_at":"2025-01-08T06:11:11+00:00","maintenance_label":"Dormant","stars_delta_30d":2,"url":"https://www.graphcanon.com/tools/neurocult-agency","markdown_url":"https://www.graphcanon.com/tools/neurocult-agency.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/neurocult-agency","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=neurocult-agency"}},{"type":"related","direction":"in","explanation":"Both RD-Agent and agentscope aim to build observable, trustworthy AI agents, aligning on common principles but likely serving slightly different ends or user bases.","successor_context":null,"tool":{"slug":"microsoft-rd-agent","name":"RD-Agent","tagline":"Automating high-value R&D processes through AI-driven data science and model development.","github_url":"https://github.com/microsoft/RD-Agent","owner":"microsoft","repo":"RD-Agent","owner_avatar_url":"https://avatars.githubusercontent.com/u/6154722?v=4","primary_language":"Python","stars":14275,"forks":1834,"topics":["agent","ai","automation","data-mining","data-science","development","llm","research"],"archived":false,"github_pushed_at":"2026-08-04T11:50:56+00:00","maintenance_label":"Active","stars_delta_30d":332,"url":"https://www.graphcanon.com/tools/microsoft-rd-agent","markdown_url":"https://www.graphcanon.com/tools/microsoft-rd-agent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/microsoft-rd-agent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=microsoft-rd-agent"}},{"type":"related","direction":"in","explanation":"Both focus on building trustworthy AI agents but have distinct focuses and functionalities, making them related yet different.","successor_context":null,"tool":{"slug":"agentera-agently","name":"Agently","tagline":"[GenAI Application Development Framework]","github_url":"https://github.com/AgentEra/Agently","owner":"AgentEra","repo":"Agently","owner_avatar_url":"https://avatars.githubusercontent.com/u/166619290?v=4","primary_language":"Python","stars":1637,"forks":181,"topics":["agent","agent-based-framework","agent-framework","chatglm","claude","deepseek","ernie","framework","gemini","google-gemini","gpt","llm-agent","llm-application","llm-apps","llm-framework","llmops","llms","minimax","python"],"archived":false,"github_pushed_at":"2026-08-20T08:02:34+00:00","maintenance_label":"Very active","stars_delta_30d":9,"url":"https://www.graphcanon.com/tools/agentera-agently","markdown_url":"https://www.graphcanon.com/tools/agentera-agently.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/agentera-agently","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=agentera-agently"}},{"type":"integrates_with","direction":"in","explanation":"Agentscope's emphasis on building and running trusted agents aligns well with the identity, security, and evaluation aspects covered in the LLM-Agents-Ecosystem-Handbook.","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":"Agentscope allows creating transparent and trustworthy agents; Ava can use Agentscope to improve visibility and trust in WhatsApp communications.","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"}}],"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":"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":"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":"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":"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":["ai-agents"]},{"slug":"darrenhinde-openagentscontrol","name":"OpenAgentsControl","tagline":"AI agent framework for plan-first development with multi-language support and automated code practices","github_url":"https://github.com/darrenhinde/OpenAgentsControl","owner":"darrenhinde","repo":"OpenAgentsControl","owner_avatar_url":"https://avatars.githubusercontent.com/u/107584450?v=4","primary_language":"TypeScript","stars":4644,"forks":371,"topics":["ai-agents","ai-agents-framework","ai-t","automation","code-generation","code-validation","developer-tools","opencode","prompt-engineering"],"archived":false,"github_pushed_at":"2026-07-21T22:24:58+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/darrenhinde-openagentscontrol","markdown_url":"https://www.graphcanon.com/tools/darrenhinde-openagentscontrol.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/darrenhinde-openagentscontrol","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=darrenhinde-openagentscontrol","shared_categories":["ai-agents"]},{"slug":"abhi1693-openclaw-mission-control","name":"openclaw-mission-control","tagline":"AI Agent Orchestration Dashboard for managing AI agents and coordinating tasks.","github_url":"https://github.com/abhi1693/openclaw-mission-control","owner":"abhi1693","repo":"openclaw-mission-control","owner_avatar_url":"https://avatars.githubusercontent.com/u/5083532?v=4","primary_language":"TypeScript","stars":4109,"forks":824,"topics":["ai-agents","automation","openclaw","orchestration"],"archived":true,"github_pushed_at":"2026-08-06T07:03:57+00:00","maintenance_label":"Archived","url":"https://www.graphcanon.com/tools/abhi1693-openclaw-mission-control","markdown_url":"https://www.graphcanon.com/tools/abhi1693-openclaw-mission-control.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/abhi1693-openclaw-mission-control","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=abhi1693-openclaw-mission-control","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","llm-frameworks"]}]}}