{"data":{"node":{"slug":"affaan-m-ecc","name":"ECC","tagline":"The agent harness performance optimization system for AI agents","github_url":"https://github.com/affaan-m/ECC","owner":"affaan-m","repo":"ECC","owner_avatar_url":"https://avatars.githubusercontent.com/u/124439313?v=4","primary_language":"JavaScript","stars":240297,"forks":36463,"topics":["ai-agents","anthropic","claude","claude-code","developer-tools","llm","mcp","productivity"],"archived":false,"github_pushed_at":"2026-08-15T20:02:53+00:00","maintenance_label":"Very active","stars_delta_30d":9964,"url":"https://www.graphcanon.com/tools/affaan-m-ecc","markdown_url":"https://www.graphcanon.com/tools/affaan-m-ecc.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/affaan-m-ecc","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=affaan-m-ecc"},"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":"developer-tools","name":"Developer Tools","url":"https://www.graphcanon.com/categories/developer-tools","markdown_url":"https://www.graphcanon.com/categories/developer-tools.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/developer-tools"}],"tags":[{"slug":"ai-agents","name":"ai-agents"},{"slug":"anthropic","name":"anthropic"},{"slug":"claude","name":"claude"},{"slug":"claude-code","name":"claude-code"},{"slug":"llm","name":"llm"},{"slug":"productivity","name":"productivity"}],"edges":[{"type":"related","direction":"out","explanation":null,"successor_context":null,"tool":{"slug":"tauricresearch-tradingagents","name":"TradingAgents","tagline":"Multi-Agents LLM Financial Trading Framework","github_url":"https://github.com/TauricResearch/TradingAgents","owner":"TauricResearch","repo":"TradingAgents","owner_avatar_url":"https://avatars.githubusercontent.com/u/192884433?v=4","primary_language":"Python","stars":98335,"forks":18953,"topics":["agent","finance","llm","multiagent","trading"],"archived":false,"github_pushed_at":"2026-07-18T15:55:05+00:00","maintenance_label":"Active","stars_delta_30d":5040,"url":"https://www.graphcanon.com/tools/tauricresearch-tradingagents","markdown_url":"https://www.graphcanon.com/tools/tauricresearch-tradingagents.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/tauricresearch-tradingagents","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=tauricresearch-tradingagents"}},{"type":"integrates_with","direction":"out","explanation":"ECC could integrate with LangChain as an advanced agent engineering platform where ECC's skills, instincts, and memory can complement the orchestration offered by 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":"alternative","direction":"out","explanation":"Both ECC and LobeHub aim at orchestrating AI agents for continuous operations. They address similar objectives but may have different feature sets or approaches.","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":"integrates_with","direction":"out","explanation":"ECC enhances development tools for AI agents which can integrate with Dify's production-ready platform for agent-oriented workflows to optimize research and deployment processes.","successor_context":null,"tool":{"slug":"langgenius-dify","name":"dify","tagline":"Production-ready platform for agentic workflow development","github_url":"https://github.com/langgenius/dify","owner":"langgenius","repo":"dify","owner_avatar_url":"https://avatars.githubusercontent.com/u/127165244?v=4","primary_language":"TypeScript","stars":151725,"forks":23941,"topics":["agent","agentic-ai","agentic-framework","agentic-workflow","ai","automation","claude","genai","gpt","llm","low-code","mcp","nextjs","no-code","openai","orchestration","python","rag","skills","workflow"],"archived":false,"github_pushed_at":"2026-08-07T19:00:10+00:00","maintenance_label":"Very active","stars_delta_30d":3586,"url":"https://www.graphcanon.com/tools/langgenius-dify","markdown_url":"https://www.graphcanon.com/tools/langgenius-dify.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/langgenius-dify","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=langgenius-dify"}},{"type":"integrates_with","direction":"out","explanation":"ECC, a performance optimization system for AI agents, integrates with Graphify, which transforms diverse data sources into interconnected knowledge graphs. This integration allows ECC to leverage Graphify's semantic querying capabilities to optimize and enhance the efficiency of its AI agent performance analyses across multiple languages and file formats.","successor_context":null,"tool":{"slug":"graphify-labs-graphify","name":"graphify","tagline":"Turn any code or documentation into a queryable knowledge graph","github_url":"https://github.com/Graphify-Labs/graphify","owner":"Graphify-Labs","repo":"graphify","owner_avatar_url":"https://avatars.githubusercontent.com/u/297659074?v=4","primary_language":"Python","stars":107507,"forks":10441,"topics":["ai-agents","antigravity","ast","claude-code","code-analysis","code-search","codex","cursor","developer-tools","gemini","graphrag","knowledge-graph","leiden","llm","mcp","openclaw","rag","skills","tree-sitter"],"archived":false,"github_pushed_at":"2026-08-17T18:42:58+00:00","maintenance_label":"Very active","stars_delta_30d":16918,"url":"https://www.graphcanon.com/tools/graphify-labs-graphify","markdown_url":"https://www.graphcanon.com/tools/graphify-labs-graphify.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/graphify-labs-graphify","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=graphify-labs-graphify"}},{"type":"integrates_with","direction":"out","explanation":"ECC and LangFlow integrate well because both tools aim to build AI-powered agents; ECC enhances agent performance, while LangFlow helps deploy such 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":"alternative","direction":"out","explanation":"ECC and caveman both serve AI coding agents by enhancing their operational capabilities, but they do so in different ways; ECC focuses on a comprehensive suite of optimizations including performance, security, and continuous learning across multiple languages, whereas caveman specifically aims to minimize output tokens without compromising code accuracy.","successor_context":null,"tool":{"slug":"juliusbrussee-caveman","name":"caveman","tagline":"Reduce token usage with concise 'caveman'-style prompts.","github_url":"https://github.com/JuliusBrussee/caveman","owner":"JuliusBrussee","repo":"caveman","owner_avatar_url":"https://avatars.githubusercontent.com/u/104168679?v=4","primary_language":"Go","stars":98423,"forks":5690,"topics":["ai","anthropic","caveman","claude","claude-code","llm","meme","prompt-engineering","skill","tokens"],"archived":false,"github_pushed_at":"2026-08-15T14:07:37+00:00","maintenance_label":"Very active","stars_delta_30d":8329,"url":"https://www.graphcanon.com/tools/juliusbrussee-caveman","markdown_url":"https://www.graphcanon.com/tools/juliusbrussee-caveman.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/juliusbrussee-caveman","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=juliusbrussee-caveman"}},{"type":"alternative","direction":"out","explanation":"Both ECC and AutoGPT aim to build and deploy AI agents that can automate tasks and improve over time. They solve similar problems but through potentially different methods.","successor_context":null,"tool":{"slug":"significant-gravitas-autogpt","name":"AutoGPT","tagline":"AutoGPT is the vision of accessible AI for everyone, to use and to build on.","github_url":"https://github.com/Significant-Gravitas/AutoGPT","owner":"Significant-Gravitas","repo":"AutoGPT","owner_avatar_url":"https://avatars.githubusercontent.com/u/130738209?v=4","primary_language":"Python","stars":186623,"forks":46070,"topics":["agentic-ai","agents","ai","artificial-intelligence","autonomous-agents","claude","gpt","llama-api","llm","openai","python"],"archived":false,"github_pushed_at":"2026-08-15T17:35:04+00:00","maintenance_label":"Very active","stars_delta_30d":1043,"url":"https://www.graphcanon.com/tools/significant-gravitas-autogpt","markdown_url":"https://www.graphcanon.com/tools/significant-gravitas-autogpt.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/significant-gravitas-autogpt","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=significant-gravitas-autogpt"}},{"type":"alternative","direction":"out","explanation":"ECC and Hermes-Agent both deal with agent-based systems, aiming to grow in capability over time for improved productivity.","successor_context":null,"tool":{"slug":"nousresearch-hermes-agent","name":"hermes-agent","tagline":"The agent that grows with you","github_url":"https://github.com/NousResearch/hermes-agent","owner":"NousResearch","repo":"hermes-agent","owner_avatar_url":"https://avatars.githubusercontent.com/u/134168893?v=4","primary_language":"Python","stars":231074,"forks":45889,"topics":["ai","ai-agent","ai-agents","anthropic","chatgpt","claude","claude-code","codex","hermes","hermes-agent","llm","nous-research","openai"],"archived":false,"github_pushed_at":"2026-08-15T23:44:24+00:00","maintenance_label":"Very active","stars_delta_30d":15179,"url":"https://www.graphcanon.com/tools/nousresearch-hermes-agent","markdown_url":"https://www.graphcanon.com/tools/nousresearch-hermes-agent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/nousresearch-hermes-agent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=nousresearch-hermes-agent"}},{"type":"integrates_with","direction":"out","explanation":"ECC works on optimizing agents through various capabilities including memory management which can integrate well with Mem0's universal memory layer for AI Agents to provide comprehensive context handling.","successor_context":null,"tool":{"slug":"mem0ai-mem0","name":"mem0","tagline":"Universal memory layer for AI Agents","github_url":"https://github.com/mem0ai/mem0","owner":"mem0ai","repo":"mem0","owner_avatar_url":"https://avatars.githubusercontent.com/u/137054526?v=4","primary_language":"Python","stars":62757,"forks":7317,"topics":["agents","ai","ai-agents","application","chatbots","chatgpt","genai","llm","long-term-memory","memory","memory-management","python","rag","state-management"],"archived":false,"github_pushed_at":"2026-08-07T11:54:19+00:00","maintenance_label":"Very active","stars_delta_30d":2388,"url":"https://www.graphcanon.com/tools/mem0ai-mem0","markdown_url":"https://www.graphcanon.com/tools/mem0ai-mem0.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/mem0ai-mem0","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=mem0ai-mem0"}},{"type":"integrates_with","direction":"out","explanation":"Daytona provides secure infrastructure to run AI-generated code and can be integrated with ECC’s development tools to enhance performance and manage large-scale operations.","successor_context":null,"tool":{"slug":"daytonaio-daytona","name":"daytona","tagline":"Secure and Elastic Infrastructure for Running AI-Generated Code","github_url":"https://github.com/daytonaio/daytona","owner":"daytonaio","repo":"daytona","owner_avatar_url":"https://avatars.githubusercontent.com/u/130513197?v=4","primary_language":null,"stars":71966,"forks":5653,"topics":["agentic-workflow","ai","ai-agents","ai-runtime","ai-sandboxes","code-execution","code-interpreter","developer-tools"],"archived":false,"github_pushed_at":"2026-07-24T07:12:07+00:00","maintenance_label":"Active","stars_delta_30d":-278,"url":"https://www.graphcanon.com/tools/daytonaio-daytona","markdown_url":"https://www.graphcanon.com/tools/daytonaio-daytona.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/daytonaio-daytona","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=daytonaio-daytona"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"shareai-lab-learn-claude-code","name":"learn-claude-code","tagline":"Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1","github_url":"https://github.com/shareAI-lab/learn-claude-code","owner":"shareAI-lab","repo":"learn-claude-code","owner_avatar_url":"https://avatars.githubusercontent.com/u/189210346?v=4","primary_language":"Python","stars":74328,"forks":12035,"topics":["agent","agent-development","ai-agent","claude","claude-code","educational","llm","python","teaching","tutorial"],"archived":false,"github_pushed_at":"2026-08-15T16:51:43+00:00","maintenance_label":"Very active","stars_delta_30d":3096,"url":"https://www.graphcanon.com/tools/shareai-lab-learn-claude-code","markdown_url":"https://www.graphcanon.com/tools/shareai-lab-learn-claude-code.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/shareai-lab-learn-claude-code","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=shareai-lab-learn-claude-code"}},{"type":"related","direction":"in","explanation":"ECC is a performance optimization system for agents, which can be related to the orchestration role of Haystack in agent workflow development.","successor_context":null,"tool":{"slug":"deepset-ai-haystack","name":"haystack","tagline":"Open-source AI orchestration framework for building context-engineered LLM applications.","github_url":"https://github.com/deepset-ai/haystack","owner":"deepset-ai","repo":"haystack","owner_avatar_url":"https://avatars.githubusercontent.com/u/51827949?v=4","primary_language":"Python","stars":26073,"forks":2972,"topics":["agent","agents","ai","gemini","generative-ai","gpt-4","information-retrieval","large-language-models","llm","machine-learning","nlp","orchestration","python","pytorch","question-answering","rag","retrieval-augmented-generation","semantic-search","summarization","transformers"],"archived":false,"github_pushed_at":"2026-08-01T03:06:32+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/deepset-ai-haystack","markdown_url":"https://www.graphcanon.com/tools/deepset-ai-haystack.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/deepset-ai-haystack","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=deepset-ai-haystack"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"nesquena-hermes-webui","name":"hermes-webui","tagline":"Hermes WebUI: The best way to use Hermes Agent from the web or from your phone!","github_url":"https://github.com/nesquena/hermes-webui","owner":"nesquena","repo":"hermes-webui","owner_avatar_url":"https://avatars.githubusercontent.com/u/6511?v=4","primary_language":"Python","stars":17456,"forks":2409,"topics":["agent","ai-agents","hermes","hermes-agent","nous-research"],"archived":false,"github_pushed_at":"2026-08-19T03:46:10+00:00","maintenance_label":"Very active","stars_delta_30d":1192,"url":"https://www.graphcanon.com/tools/nesquena-hermes-webui","markdown_url":"https://www.graphcanon.com/tools/nesquena-hermes-webui.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/nesquena-hermes-webui","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=nesquena-hermes-webui"}},{"type":"integrates_with","direction":"in","explanation":"'omo/lazycodex' could integrate with 'ECC - The agent harness performance optimization system' since both aim at enhancing the efficiency of agent systems and managing complex codebases.","successor_context":null,"tool":{"slug":"code-yeongyu-oh-my-openagent","name":"oh-my-openagent","tagline":"A coding agent for complex codebases, supporting multiple AI agents like ChatGPT and Claude.","github_url":"https://github.com/code-yeongyu/oh-my-openagent","owner":"code-yeongyu","repo":"oh-my-openagent","owner_avatar_url":"https://avatars.githubusercontent.com/u/11153873?v=4","primary_language":"TypeScript","stars":68108,"forks":5562,"topics":["ai","ai-agents","anthropic","chatgpt","claude","claude-skills","codex","cursor","gemini","ide","openai","opencode","orchestration","tui","typescript"],"archived":false,"github_pushed_at":"2026-08-19T16:27:05+00:00","maintenance_label":"Very active","stars_delta_30d":1902,"url":"https://www.graphcanon.com/tools/code-yeongyu-oh-my-openagent","markdown_url":"https://www.graphcanon.com/tools/code-yeongyu-oh-my-openagent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/code-yeongyu-oh-my-openagent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=code-yeongyu-oh-my-openagent"}},{"type":"alternative","direction":"in","explanation":"Both repositories deal with optimizing agent harness performance, but they likely apply different methodologies or techniques.","successor_context":null,"tool":{"slug":"shareai-lab-learn-claude-code","name":"learn-claude-code","tagline":"Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1","github_url":"https://github.com/shareAI-lab/learn-claude-code","owner":"shareAI-lab","repo":"learn-claude-code","owner_avatar_url":"https://avatars.githubusercontent.com/u/189210346?v=4","primary_language":"Python","stars":74328,"forks":12035,"topics":["agent","agent-development","ai-agent","claude","claude-code","educational","llm","python","teaching","tutorial"],"archived":false,"github_pushed_at":"2026-08-15T16:51:43+00:00","maintenance_label":"Very active","stars_delta_30d":3096,"url":"https://www.graphcanon.com/tools/shareai-lab-learn-claude-code","markdown_url":"https://www.graphcanon.com/tools/shareai-lab-learn-claude-code.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/shareai-lab-learn-claude-code","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=shareai-lab-learn-claude-code"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"openpipe-art","name":"ART","tagline":"Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO.","github_url":"https://github.com/OpenPipe/ART","owner":"OpenPipe","repo":"ART","owner_avatar_url":"https://avatars.githubusercontent.com/u/139012218?v=4","primary_language":"Python","stars":10603,"forks":974,"topics":["agent","agentic-ai","grpo","llms","lora","qwen","qwen3","reinforcement-learning","rl"],"archived":false,"github_pushed_at":"2026-08-19T01:31:53+00:00","maintenance_label":"Very active","stars_delta_30d":109,"url":"https://www.graphcanon.com/tools/openpipe-art","markdown_url":"https://www.graphcanon.com/tools/openpipe-art.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/openpipe-art","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=openpipe-art"}},{"type":"alternative","direction":"in","explanation":"ECC and Ruflo are both agent harnesses designed for performance optimization, potentially solving similar problems but in different ways.","successor_context":null,"tool":{"slug":"ruvnet-ruflo","name":"ruflo","tagline":"The leading agent meta-harness for intelligent multi-player swarms and autonomous workflows","github_url":"https://github.com/ruvnet/ruflo","owner":"ruvnet","repo":"ruflo","owner_avatar_url":"https://avatars.githubusercontent.com/u/2934394?v=4","primary_language":"TypeScript","stars":68322,"forks":8204,"topics":["agentic-ai","agentic-framework","agentic-workflow","agents","ai-agents","ai-assistant","ai-coding","ai-skills","autonomous-agents","claude-code","codex","harness","mcp-server","multi-agent","multi-agent-systems","npm","skills","swarm","swarm-intelligence","typescript"],"archived":false,"github_pushed_at":"2026-08-19T06:22:54+00:00","maintenance_label":"Very active","stars_delta_30d":3095,"url":"https://www.graphcanon.com/tools/ruvnet-ruflo","markdown_url":"https://www.graphcanon.com/tools/ruvnet-ruflo.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ruvnet-ruflo","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ruvnet-ruflo"}},{"type":"integrates_with","direction":"in","explanation":"QwenPaw could potentially integrate with ECC to optimize performance of its built-in agent capabilities due to their focus on harness engineering.","successor_context":null,"tool":{"slug":"agentscope-ai-qwenpaw","name":"QwenPaw","tagline":"Your Personal AI Assistant","github_url":"https://github.com/agentscope-ai/QwenPaw","owner":"agentscope-ai","repo":"QwenPaw","owner_avatar_url":"https://avatars.githubusercontent.com/u/211762292?v=4","primary_language":"Python","stars":33990,"forks":3007,"topics":["agent","agent-harness","agentscope","ai-agent","ai-agents","chatbot","harness-engineering","llm-tools","llms","loop-engineering","mcp","personal-ai-assistant","self-hosted","skills","super-agent","webui"],"archived":false,"github_pushed_at":"2026-08-18T10:56:26+00:00","maintenance_label":"Very active","stars_delta_30d":10578,"url":"https://www.graphcanon.com/tools/agentscope-ai-qwenpaw","markdown_url":"https://www.graphcanon.com/tools/agentscope-ai-qwenpaw.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/agentscope-ai-qwenpaw","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=agentscope-ai-qwenpaw"}},{"type":"integrates_with","direction":"in","explanation":"OpenCodeReview can integrate with ECC for enhancing performance optimization in agent harnesses, which could further enhance the efficiency of code review processes.","successor_context":null,"tool":{"slug":"alibaba-open-code-review","name":"open-code-review","tagline":"Hybrid architecture code review tool with LLM Agent for precise line-level comments and built-in security rule checks.","github_url":"https://github.com/alibaba/open-code-review","owner":"alibaba","repo":"open-code-review","owner_avatar_url":"https://avatars.githubusercontent.com/u/1961952?v=4","primary_language":"Go","stars":20812,"forks":1482,"topics":["agent","agent-skills","code-review","code-review-assistant","harness","repository-level-context"],"archived":false,"github_pushed_at":"2026-08-19T11:05:53+00:00","maintenance_label":"Very active","stars_delta_30d":10113,"url":"https://www.graphcanon.com/tools/alibaba-open-code-review","markdown_url":"https://www.graphcanon.com/tools/alibaba-open-code-review.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/alibaba-open-code-review","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=alibaba-open-code-review"}},{"type":"related","direction":"in","explanation":"'learn-harness-engineering' might be seen as a more fundamental tutorial on building agent harness systems, whereas ECC focuses specifically on performance optimization within these systems.","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":"ECC is listed in the awesome-LLM-resources as a performance optimization system for agents, suggesting its relevance within the list's context of tools and resources.","successor_context":null,"tool":{"slug":"wangrongsheng-awesome-llm-resources","name":"awesome-LLM-resources","tagline":"Summary of the world's best LLM resources.","github_url":"https://github.com/WangRongsheng/awesome-LLM-resources","owner":"WangRongsheng","repo":"awesome-LLM-resources","owner_avatar_url":"https://avatars.githubusercontent.com/u/55651568?v=4","primary_language":null,"stars":8845,"forks":950,"topics":["awesome-list","book","course","large-language-models","llama","llm","mistral","openai","qwen","rag","retrieval-augmented-generation","webui"],"archived":false,"github_pushed_at":"2026-08-14T15:54:28+00:00","maintenance_label":"Very active","stars_delta_30d":142,"url":"https://www.graphcanon.com/tools/wangrongsheng-awesome-llm-resources","markdown_url":"https://www.graphcanon.com/tools/wangrongsheng-awesome-llm-resources.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/wangrongsheng-awesome-llm-resources","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=wangrongsheng-awesome-llm-resources"}},{"type":"related","direction":"in","explanation":"Though ECC is about performance optimization for agents, the repository focuses on preparing for technical interviews which can include topics related to agent harness performance.","successor_context":null,"tool":{"slug":"alirezadir-machine-learning-interviews","name":"Machine-Learning-Interviews","tagline":"Guide for Machine Learning/AI technical interviews","github_url":"https://github.com/alirezadir/Machine-Learning-Interviews","owner":"alirezadir","repo":"Machine-Learning-Interviews","owner_avatar_url":"https://avatars.githubusercontent.com/u/5262877?v=4","primary_language":"Jupyter Notebook","stars":8638,"forks":1508,"topics":["agentic","ai","ai-agents","ai-engineering","deep-learning","interview","interview-practice","interview-preparation","interviews","machine-learning","machine-learning-algorithms","scalable-applications","system-design"],"archived":false,"github_pushed_at":"2026-06-20T06:39:46+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/alirezadir-machine-learning-interviews","markdown_url":"https://www.graphcanon.com/tools/alirezadir-machine-learning-interviews.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/alirezadir-machine-learning-interviews","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=alirezadir-machine-learning-interviews"}},{"type":"depends_on","direction":"in","explanation":"Superset might benefit from ECC's performance optimization by running coding agents more efficiently, as it focuses on agent-based development orchestration.","successor_context":null,"tool":{"slug":"superset-sh-superset","name":"superset","tagline":"Code Editor for the AI Agents Era","github_url":"https://github.com/superset-sh/superset","owner":"superset-sh","repo":"superset","owner_avatar_url":"https://avatars.githubusercontent.com/u/242687620?v=4","primary_language":"TypeScript","stars":13111,"forks":1201,"topics":["ade","agent","agent-orchestration","ai-agents","ai-coding","claude-code","cli","codex","coding-agents","cursor-agent","developer-tools","devtools","ide","macos","opencode","orchestration","parallel-agents","terminal","worktrees","yc-backed"],"archived":false,"github_pushed_at":"2026-08-20T05:56:00+00:00","maintenance_label":"Very active","stars_delta_30d":590,"url":"https://www.graphcanon.com/tools/superset-sh-superset","markdown_url":"https://www.graphcanon.com/tools/superset-sh-superset.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/superset-sh-superset","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=superset-sh-superset"}},{"type":"alternative","direction":"in","explanation":"ECC and IntellAgent both focus on the optimization of agent performance by identifying edge cases, with ECC specifically focusing on improving harness performance.","successor_context":null,"tool":{"slug":"plurai-ai-intellagent","name":"intellagent","tagline":"A framework for comprehensive diagnosis and optimization of agents using simulated, realistic synthetic interactions","github_url":"https://github.com/plurai-ai/intellagent","owner":"plurai-ai","repo":"intellagent","owner_avatar_url":"https://avatars.githubusercontent.com/u/177747177?v=4","primary_language":"Python","stars":1255,"forks":154,"topics":["agent","evaluation","llmops","simulator","synthetic-data"],"archived":false,"github_pushed_at":"2026-07-14T06:23:01+00:00","maintenance_label":"Steady","stars_delta_30d":1,"url":"https://www.graphcanon.com/tools/plurai-ai-intellagent","markdown_url":"https://www.graphcanon.com/tools/plurai-ai-intellagent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/plurai-ai-intellagent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=plurai-ai-intellagent"}},{"type":"related","direction":"in","explanation":"ECC is an optimization system that could be used in the creation and deployment of AI agents, which are the same areas that `awesome-ai-sdks` aims to cover with its curated list.","successor_context":null,"tool":{"slug":"e2b-dev-awesome-ai-sdks","name":"awesome-ai-sdks","tagline":"A database of SDKs for AI agents creation and management","github_url":"https://github.com/e2b-dev/awesome-ai-sdks","owner":"e2b-dev","repo":"awesome-ai-sdks","owner_avatar_url":"https://avatars.githubusercontent.com/u/129434473?v=4","primary_language":null,"stars":1213,"forks":361,"topics":["agent","agentops","agents","ai","ai-agents","awesome","awesome-list","chatgpt","e2b","framework","langchain","llama-index","llm","llmops","openai","sdk","tools","vercel"],"archived":false,"github_pushed_at":"2026-07-09T17:29:58+00:00","maintenance_label":"Steady","stars_delta_30d":6,"url":"https://www.graphcanon.com/tools/e2b-dev-awesome-ai-sdks","markdown_url":"https://www.graphcanon.com/tools/e2b-dev-awesome-ai-sdks.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/e2b-dev-awesome-ai-sdks","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=e2b-dev-awesome-ai-sdks"}},{"type":"integrates_with","direction":"in","explanation":"Dynamiq's focus on optimizing AI agent development could integrate with ECC’s performance optimization system aimed at enhancing the efficiency of these agents.","successor_context":null,"tool":{"slug":"dynamiq-ai-dynamiq","name":"dynamiq","tagline":"Orchestration framework for agentic AI and LLM applications","github_url":"https://github.com/dynamiq-ai/dynamiq","owner":"dynamiq-ai","repo":"dynamiq","owner_avatar_url":"https://avatars.githubusercontent.com/u/151867818?v=4","primary_language":"Python","stars":1065,"forks":133,"topics":["agents","ai","generative-ai","gpt","llm","llmops","rag"],"archived":false,"github_pushed_at":"2026-08-20T23:35:27+00:00","maintenance_label":"Very active","stars_delta_30d":4,"url":"https://www.graphcanon.com/tools/dynamiq-ai-dynamiq","markdown_url":"https://www.graphcanon.com/tools/dynamiq-ai-dynamiq.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/dynamiq-ai-dynamiq","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=dynamiq-ai-dynamiq"}},{"type":"alternative","direction":"in","explanation":"Agent-S is an open agentic framework designed to simulate human-like computer usage across different operating systems, while ECC focuses on optimizing the performance of AI agents through capabilities such as memory and skill enhancements. Both tools aim to improve agent functionality though they approach this from different angles: Agent-S by mimicking human interaction with computers and ECC by","successor_context":null,"tool":{"slug":"simular-ai-agent-s","name":"Agent-S","tagline":"Agent S: an open agentic framework that uses computers like a human","github_url":"https://github.com/simular-ai/Agent-S","owner":"simular-ai","repo":"Agent-S","owner_avatar_url":"https://avatars.githubusercontent.com/u/99358647?v=4","primary_language":"Python","stars":12174,"forks":1423,"topics":["agent-computer-interface","ai-agents","computer-automation","computer-use","computer-use-agent","cua","grounding","gui-agents","in-context-reinforcement-learning","memory","mllm","planning","retrieval-augmented-generation"],"archived":false,"github_pushed_at":"2026-08-01T03:31:09+00:00","maintenance_label":"Active","stars_delta_30d":132,"url":"https://www.graphcanon.com/tools/simular-ai-agent-s","markdown_url":"https://www.graphcanon.com/tools/simular-ai-agent-s.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/simular-ai-agent-s","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=simular-ai-agent-s"}},{"type":"related","direction":"in","explanation":"IntellAgent and ECC both aim to improve the performance of conversational agents through evaluation and optimization.","successor_context":null,"tool":{"slug":"plurai-ai-intellagent","name":"intellagent","tagline":"A framework for comprehensive diagnosis and optimization of agents using simulated, realistic synthetic interactions","github_url":"https://github.com/plurai-ai/intellagent","owner":"plurai-ai","repo":"intellagent","owner_avatar_url":"https://avatars.githubusercontent.com/u/177747177?v=4","primary_language":"Python","stars":1255,"forks":154,"topics":["agent","evaluation","llmops","simulator","synthetic-data"],"archived":false,"github_pushed_at":"2026-07-14T06:23:01+00:00","maintenance_label":"Steady","stars_delta_30d":1,"url":"https://www.graphcanon.com/tools/plurai-ai-intellagent","markdown_url":"https://www.graphcanon.com/tools/plurai-ai-intellagent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/plurai-ai-intellagent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=plurai-ai-intellagent"}},{"type":"alternative","direction":"in","explanation":"Go Micro and ECC both provide agent harnesses which can be used to manage AI agents, but they offer different approaches.","successor_context":null,"tool":{"slug":"micro-go-micro","name":"go-micro","tagline":"A Go agent harness and service framework","github_url":"https://github.com/micro/go-micro","owner":"micro","repo":"go-micro","owner_avatar_url":"https://avatars.githubusercontent.com/u/5161210?v=4","primary_language":"Go","stars":23024,"forks":2416,"topics":["ai","ai-agents","distributed-systems","go","golang","mcp","micro","microservices"],"archived":false,"github_pushed_at":"2026-08-19T15:00:17+00:00","maintenance_label":"Very active","stars_delta_30d":55,"url":"https://www.graphcanon.com/tools/micro-go-micro","markdown_url":"https://www.graphcanon.com/tools/micro-go-micro.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/micro-go-micro","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=micro-go-micro"}},{"type":"integrates_with","direction":"in","explanation":"ECC optimizes agent performance, and rtk can potentially integrate with ECC to reduce token consumption while working with AI agents.","successor_context":null,"tool":{"slug":"rtk-ai-rtk","name":"rtk","tagline":"CLI proxy reducing LLM token consumption by 60-90% on common dev commands","github_url":"https://github.com/rtk-ai/rtk","owner":"rtk-ai","repo":"rtk","owner_avatar_url":"https://avatars.githubusercontent.com/u/258253854?v=4","primary_language":"Rust","stars":76247,"forks":4795,"topics":["agentic-coding","ai-coding","anthropic","claude-code","cli","command-line-tool","cost-reduction","developer-tools","llm","open-source","productivity","rust","token-optimization"],"archived":false,"github_pushed_at":"2026-08-15T02:01:37+00:00","maintenance_label":"Very active","stars_delta_30d":4851,"url":"https://www.graphcanon.com/tools/rtk-ai-rtk","markdown_url":"https://www.graphcanon.com/tools/rtk-ai-rtk.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/rtk-ai-rtk","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=rtk-ai-rtk"}}],"neighbours":[{"slug":"sindresorhus-awesome","name":"awesome","tagline":"😎 Awesome lists about all kinds of interesting topics","github_url":"https://github.com/sindresorhus/awesome","owner":"sindresorhus","repo":"awesome","owner_avatar_url":"https://avatars.githubusercontent.com/u/170270?v=4","primary_language":null,"stars":492352,"forks":36224,"topics":["awesome","awesome-list","lists","resources","unicorns"],"archived":false,"github_pushed_at":"2026-06-30T18:21:16+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/sindresorhus-awesome","markdown_url":"https://www.graphcanon.com/tools/sindresorhus-awesome.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/sindresorhus-awesome","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=sindresorhus-awesome","shared_categories":["developer-tools"]},{"slug":"nousresearch-hermes-agent","name":"hermes-agent","tagline":"The agent that grows with you","github_url":"https://github.com/NousResearch/hermes-agent","owner":"NousResearch","repo":"hermes-agent","owner_avatar_url":"https://avatars.githubusercontent.com/u/134168893?v=4","primary_language":"Python","stars":231074,"forks":45889,"topics":["ai","ai-agent","ai-agents","anthropic","chatgpt","claude","claude-code","codex","hermes","hermes-agent","llm","nous-research","openai"],"archived":false,"github_pushed_at":"2026-08-15T23:44:24+00:00","maintenance_label":"Very active","stars_delta_30d":15179,"url":"https://www.graphcanon.com/tools/nousresearch-hermes-agent","markdown_url":"https://www.graphcanon.com/tools/nousresearch-hermes-agent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/nousresearch-hermes-agent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=nousresearch-hermes-agent","shared_categories":["ai-agents"]},{"slug":"n8n-io-n8n","name":"n8n","tagline":"Fair-code workflow automation platform with native AI capabilities","github_url":"https://github.com/n8n-io/n8n","owner":"n8n-io","repo":"n8n","owner_avatar_url":"https://avatars.githubusercontent.com/u/45487711?v=4","primary_language":"TypeScript","stars":197989,"forks":59629,"topics":["ai","apis","automation","cli","data-flow","development","integration-framework","integrations","ipaas","low-code","low-code-platform","mcp","mcp-client","mcp-server","n8n","no-code","self-hosted","typescript","workflow","workflow-automation"],"archived":false,"github_pushed_at":"2026-07-25T23:58:35+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/n8n-io-n8n","markdown_url":"https://www.graphcanon.com/tools/n8n-io-n8n.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/n8n-io-n8n","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=n8n-io-n8n","shared_categories":["developer-tools"]},{"slug":"significant-gravitas-autogpt","name":"AutoGPT","tagline":"AutoGPT is the vision of accessible AI for everyone, to use and to build on.","github_url":"https://github.com/Significant-Gravitas/AutoGPT","owner":"Significant-Gravitas","repo":"AutoGPT","owner_avatar_url":"https://avatars.githubusercontent.com/u/130738209?v=4","primary_language":"Python","stars":186623,"forks":46070,"topics":["agentic-ai","agents","ai","artificial-intelligence","autonomous-agents","claude","gpt","llama-api","llm","openai","python"],"archived":false,"github_pushed_at":"2026-08-15T17:35:04+00:00","maintenance_label":"Very active","stars_delta_30d":1043,"url":"https://www.graphcanon.com/tools/significant-gravitas-autogpt","markdown_url":"https://www.graphcanon.com/tools/significant-gravitas-autogpt.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/significant-gravitas-autogpt","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=significant-gravitas-autogpt","shared_categories":["ai-agents"]},{"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","shared_categories":["ai-agents"]},{"slug":"f-prompts-chat","name":"prompts.chat","tagline":"Share, discover, and collect prompts from the community","github_url":"https://github.com/f/prompts.chat","owner":"f","repo":"prompts.chat","owner_avatar_url":"https://avatars.githubusercontent.com/u/196477?v=4","primary_language":"HTML","stars":167212,"forks":21586,"topics":["ai","artificial-intelligence","awesome-list","chatgpt","chatgpt-prompts","claude","gemini","gpt","gpt-4","llm","machine-learning","nextjs","open-source","openai","prompt-engineering","prompts","prompts-chat","typescript"],"archived":false,"github_pushed_at":"2026-08-15T03:18:07+00:00","maintenance_label":"Very active","stars_delta_30d":1347,"url":"https://www.graphcanon.com/tools/f-prompts-chat","markdown_url":"https://www.graphcanon.com/tools/f-prompts-chat.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/f-prompts-chat","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=f-prompts-chat","shared_categories":["developer-tools"]},{"slug":"snailclimb-javaguide","name":"JavaGuide","tagline":"Java Interview & Backend General Guide, covering computer basics, databases, distributed systems, high concurrency, system design, and AI application development","github_url":"https://github.com/Snailclimb/JavaGuide","owner":"Snailclimb","repo":"JavaGuide","owner_avatar_url":"https://avatars.githubusercontent.com/u/29880145?v=4","primary_language":"JavaScript","stars":157862,"forks":46172,"topics":["agent","ai","context-engineering","deepseek","interview","java","mcp","mysql","redis","redisson","skills","springai","system-design"],"archived":false,"github_pushed_at":"2026-08-18T13:05:40+00:00","maintenance_label":"Very active","stars_delta_30d":741,"url":"https://www.graphcanon.com/tools/snailclimb-javaguide","markdown_url":"https://www.graphcanon.com/tools/snailclimb-javaguide.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/snailclimb-javaguide","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=snailclimb-javaguide","shared_categories":["developer-tools"]},{"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","shared_categories":["ai-agents"]},{"slug":"langgenius-dify","name":"dify","tagline":"Production-ready platform for agentic workflow development","github_url":"https://github.com/langgenius/dify","owner":"langgenius","repo":"dify","owner_avatar_url":"https://avatars.githubusercontent.com/u/127165244?v=4","primary_language":"TypeScript","stars":151725,"forks":23941,"topics":["agent","agentic-ai","agentic-framework","agentic-workflow","ai","automation","claude","genai","gpt","llm","low-code","mcp","nextjs","no-code","openai","orchestration","python","rag","skills","workflow"],"archived":false,"github_pushed_at":"2026-08-07T19:00:10+00:00","maintenance_label":"Very active","stars_delta_30d":3586,"url":"https://www.graphcanon.com/tools/langgenius-dify","markdown_url":"https://www.graphcanon.com/tools/langgenius-dify.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/langgenius-dify","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=langgenius-dify","shared_categories":["ai-agents"]},{"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","shared_categories":["ai-agents"]},{"slug":"shubhamsaboo-awesome-llm-apps","name":"awesome-llm-apps","tagline":"Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.","github_url":"https://github.com/Shubhamsaboo/awesome-llm-apps","owner":"Shubhamsaboo","repo":"awesome-llm-apps","owner_avatar_url":"https://avatars.githubusercontent.com/u/31396011?v=4","primary_language":"Python","stars":131230,"forks":19346,"topics":["agents","llms","python","rag"],"archived":false,"github_pushed_at":"2026-08-03T03:30:58+00:00","maintenance_label":"Very active","stars_delta_30d":14464,"url":"https://www.graphcanon.com/tools/shubhamsaboo-awesome-llm-apps","markdown_url":"https://www.graphcanon.com/tools/shubhamsaboo-awesome-llm-apps.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/shubhamsaboo-awesome-llm-apps","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=shubhamsaboo-awesome-llm-apps","shared_categories":["ai-agents"]},{"slug":"farion1231-cc-switch","name":"cc-switch","tagline":"A cross-platform desktop All-in-One assistant for multiple AI agents","github_url":"https://github.com/farion1231/cc-switch","owner":"farion1231","repo":"cc-switch","owner_avatar_url":"https://avatars.githubusercontent.com/u/44939412?v=4","primary_language":"Rust","stars":121151,"forks":8145,"topics":["ai-tools","claude-code","codex","desktop-app","grok","grokbuild","hermes","hermes-agent","mcp","open-source","openclaw","openclaw-ui","opencode","provider-management","rust","skills","skills-management","tauri","typescript","wsl-support"],"archived":false,"github_pushed_at":"2026-07-24T04:52:43+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/farion1231-cc-switch","markdown_url":"https://www.graphcanon.com/tools/farion1231-cc-switch.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/farion1231-cc-switch","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=farion1231-cc-switch","shared_categories":["ai-agents","developer-tools"]}]}}