{"data":{"node":{"slug":"pingcap-autoflow","name":"autoflow","tagline":"Graph RAG based conversational knowledge base tool using TiDB Serverless Vector Storage","github_url":"https://github.com/pingcap/autoflow","owner":"pingcap","repo":"autoflow","owner_avatar_url":"https://avatars.githubusercontent.com/u/11855343?v=4","primary_language":"TypeScript","stars":2971,"forks":194,"topics":["chatbot","cot","graphrag","knowledge-graph","mysql","rag","serverless","vector-database"],"archived":false,"github_pushed_at":"2026-04-27T13:55:14+00:00","maintenance_label":"Slowing","stars_delta_30d":15,"url":"https://www.graphcanon.com/tools/pingcap-autoflow","markdown_url":"https://www.graphcanon.com/tools/pingcap-autoflow.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/pingcap-autoflow","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=pingcap-autoflow"},"categories":[{"slug":"data-retrieval","name":"Data & Retrieval","url":"https://www.graphcanon.com/categories/data-retrieval","markdown_url":"https://www.graphcanon.com/categories/data-retrieval.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/data-retrieval"},{"slug":"vector-databases","name":"Vector Databases","url":"https://www.graphcanon.com/categories/vector-databases","markdown_url":"https://www.graphcanon.com/categories/vector-databases.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/vector-databases"}],"tags":[{"slug":"chatbot","name":"chatbot"},{"slug":"cot","name":"cot"},{"slug":"graphrag","name":"graphrag"},{"slug":"knowledge-graph","name":"knowledge-graph"},{"slug":"mysql","name":"mysql"},{"slug":"rag","name":"rag"},{"slug":"serverless","name":"serverless"},{"slug":"vector-database","name":"vector-database"}],"edges":[{"type":"related","direction":"out","explanation":"Both Autoflow and Flowise are used to build AI agents and conversational platforms, but they differ significantly in their design philosophies and components.","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":"alternative","direction":"out","explanation":"AutoFlow can be seen as an alternative to langchain for agent engineering, each offering different features and approaches.","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":"AutoFlow and langflow both provide tools for building and deploying AI-powered agents and workflows, but they approach the solution differently.","successor_context":null,"tool":{"slug":"langflow-ai-langflow","name":"langflow","tagline":"Tool for building and deploying AI-powered agents and workflows","github_url":"https://github.com/langflow-ai/langflow","owner":"langflow-ai","repo":"langflow","owner_avatar_url":"https://avatars.githubusercontent.com/u/85702467?v=4","primary_language":"Python","stars":152744,"forks":9747,"topics":["agents","chatgpt","generative-ai","large-language-models","multiagent","react-flow"],"archived":false,"github_pushed_at":"2026-08-02T00:44:47+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/langflow-ai-langflow","markdown_url":"https://www.graphcanon.com/tools/langflow-ai-langflow.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/langflow-ai-langflow","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=langflow-ai-langflow"}},{"type":"integrates_with","direction":"out","explanation":"Autoflow, a graph-based RAG conversational tool that leverages TiDB Serverless Vector Storage and integrates LlamaIndex for model training, can be integrated with Langflow. Langflow provides a platform to build and deploy AI workflows through both visual authoring and API server capabilities, making it possible to incorporate Autoflow's conversational functionalities within broader enterprise AI应用","successor_context":null,"tool":{"slug":"langflow-ai-langflow","name":"langflow","tagline":"Tool for building and deploying AI-powered agents and workflows","github_url":"https://github.com/langflow-ai/langflow","owner":"langflow-ai","repo":"langflow","owner_avatar_url":"https://avatars.githubusercontent.com/u/85702467?v=4","primary_language":"Python","stars":152744,"forks":9747,"topics":["agents","chatgpt","generative-ai","large-language-models","multiagent","react-flow"],"archived":false,"github_pushed_at":"2026-08-02T00:44:47+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/langflow-ai-langflow","markdown_url":"https://www.graphcanon.com/tools/langflow-ai-langflow.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/langflow-ai-langflow","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=langflow-ai-langflow"}},{"type":"integrates_with","direction":"out","explanation":"Both AutoFlow and ragflow are focused on RAG solutions, making them designed to potentially integrate for enhanced capabilities in retrieval-augmented generation.","successor_context":null,"tool":{"slug":"infiniflow-ragflow","name":"ragflow","tagline":"Retrieval-Augmented Generation engine with agent capabilities","github_url":"https://github.com/infiniflow/ragflow","owner":"infiniflow","repo":"ragflow","owner_avatar_url":"https://avatars.githubusercontent.com/u/69962740?v=4","primary_language":"Go","stars":86541,"forks":10167,"topics":["agent-harness","agentic-ai","agentic-retrieval","agentic-search","ai","ai-agents","context-engine","context-engineering","context-management","harness-engineering","knowledge-compilation","llm-apps","rag","retrieval-augmented-generation"],"archived":false,"github_pushed_at":"2026-07-31T14:59:12+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/infiniflow-ragflow","markdown_url":"https://www.graphcanon.com/tools/infiniflow-ragflow.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/infiniflow-ragflow","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=infiniflow-ragflow"}},{"type":"related","direction":"out","explanation":"Both Autoflow and ragflow are related to Retrieval-Augmented Generation (RAG) solutions, but they solve problems differently with unique features.","successor_context":null,"tool":{"slug":"infiniflow-ragflow","name":"ragflow","tagline":"Retrieval-Augmented Generation engine with agent capabilities","github_url":"https://github.com/infiniflow/ragflow","owner":"infiniflow","repo":"ragflow","owner_avatar_url":"https://avatars.githubusercontent.com/u/69962740?v=4","primary_language":"Go","stars":86541,"forks":10167,"topics":["agent-harness","agentic-ai","agentic-retrieval","agentic-search","ai","ai-agents","context-engine","context-engineering","context-management","harness-engineering","knowledge-compilation","llm-apps","rag","retrieval-augmented-generation"],"archived":false,"github_pushed_at":"2026-07-31T14:59:12+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/infiniflow-ragflow","markdown_url":"https://www.graphcanon.com/tools/infiniflow-ragflow.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/infiniflow-ragflow","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=infiniflow-ragflow"}},{"type":"integrates_with","direction":"out","explanation":"Autoflow uses TiDB Vector Storage which can integrate well with infinity for hybrid search capabilities, as both deal with vector and knowledge graph integration.","successor_context":null,"tool":{"slug":"infiniflow-infinity","name":"infinity","tagline":"AI-native database for LLM applications offering fast hybrid search capabilities.","github_url":"https://github.com/infiniflow/infinity","owner":"infiniflow","repo":"infinity","owner_avatar_url":"https://avatars.githubusercontent.com/u/69962740?v=4","primary_language":"C++","stars":4675,"forks":437,"topics":["ai-native","approximate-nearest-neighbor-search","bm25","cpp20","cpp20-modules","embedding","full-text-search","hnsw","hybrid-search","information-retrival","multi-vector","nearest-neighbor-search","rag","search-engine","tensor-database","vector","vector-database","vector-search","vectordatabase"],"archived":false,"github_pushed_at":"2026-08-17T13:43:09+00:00","maintenance_label":"Very active","stars_delta_30d":51,"url":"https://www.graphcanon.com/tools/infiniflow-infinity","markdown_url":"https://www.graphcanon.com/tools/infiniflow-infinity.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/infiniflow-infinity","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=infiniflow-infinity"}}],"neighbours":[{"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":"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":[]},{"slug":"infiniflow-ragflow","name":"ragflow","tagline":"Retrieval-Augmented Generation engine with agent capabilities","github_url":"https://github.com/infiniflow/ragflow","owner":"infiniflow","repo":"ragflow","owner_avatar_url":"https://avatars.githubusercontent.com/u/69962740?v=4","primary_language":"Go","stars":86541,"forks":10167,"topics":["agent-harness","agentic-ai","agentic-retrieval","agentic-search","ai","ai-agents","context-engine","context-engineering","context-management","harness-engineering","knowledge-compilation","llm-apps","rag","retrieval-augmented-generation"],"archived":false,"github_pushed_at":"2026-07-31T14:59:12+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/infiniflow-ragflow","markdown_url":"https://www.graphcanon.com/tools/infiniflow-ragflow.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/infiniflow-ragflow","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=infiniflow-ragflow","shared_categories":["data-retrieval"]},{"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":"Active","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","shared_categories":[]},{"slug":"microsoft-promptflow","name":"promptflow","tagline":"Build high-quality LLM apps from prototyping to production deployment and monitoring","github_url":"https://github.com/microsoft/promptflow","owner":"microsoft","repo":"promptflow","owner_avatar_url":"https://avatars.githubusercontent.com/u/6154722?v=4","primary_language":"Python","stars":11193,"forks":1113,"topics":["ai","ai-application-development","ai-applications","chatgpt","gpt","llm","prompt","prompt-engineering"],"archived":false,"github_pushed_at":"2026-07-09T22:00:22+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/microsoft-promptflow","markdown_url":"https://www.graphcanon.com/tools/microsoft-promptflow.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/microsoft-promptflow","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=microsoft-promptflow","shared_categories":[]},{"slug":"hkuds-autoagent","name":"AutoAgent","tagline":"Fully-Automated and Zero-Code LLM Agent Framework","github_url":"https://github.com/HKUDS/AutoAgent","owner":"HKUDS","repo":"AutoAgent","owner_avatar_url":"https://avatars.githubusercontent.com/u/118165258?v=4","primary_language":"Python","stars":9738,"forks":1357,"topics":["agent","llms"],"archived":false,"github_pushed_at":"2025-10-16T06:35:28+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/hkuds-autoagent","markdown_url":"https://www.graphcanon.com/tools/hkuds-autoagent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/hkuds-autoagent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=hkuds-autoagent","shared_categories":[]},{"slug":"run-llama-rags","name":"rags","tagline":"Build ChatGPT over your data with natural language","github_url":"https://github.com/run-llama/rags","owner":"run-llama","repo":"rags","owner_avatar_url":"https://avatars.githubusercontent.com/u/130722866?v=4","primary_language":"Python","stars":6549,"forks":656,"topics":["agent","chatbot","chatgpt","gpts","llamaindex","llm","openai","rag","streamlit"],"archived":false,"github_pushed_at":"2024-04-05T05:36:59+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/run-llama-rags","markdown_url":"https://www.graphcanon.com/tools/run-llama-rags.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/run-llama-rags","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=run-llama-rags","shared_categories":["data-retrieval"]},{"slug":"infiniflow-infinity","name":"infinity","tagline":"AI-native database for LLM applications offering fast hybrid search capabilities.","github_url":"https://github.com/infiniflow/infinity","owner":"infiniflow","repo":"infinity","owner_avatar_url":"https://avatars.githubusercontent.com/u/69962740?v=4","primary_language":"C++","stars":4675,"forks":437,"topics":["ai-native","approximate-nearest-neighbor-search","bm25","cpp20","cpp20-modules","embedding","full-text-search","hnsw","hybrid-search","information-retrival","multi-vector","nearest-neighbor-search","rag","search-engine","tensor-database","vector","vector-database","vector-search","vectordatabase"],"archived":false,"github_pushed_at":"2026-08-17T13:43:09+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/infiniflow-infinity","markdown_url":"https://www.graphcanon.com/tools/infiniflow-infinity.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/infiniflow-infinity","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=infiniflow-infinity","shared_categories":["vector-databases","data-retrieval"]},{"slug":"sylphai-inc-adalflow","name":"AdalFlow","tagline":"The library to build & auto-optimize LLM applications.","github_url":"https://github.com/SylphAI-Inc/AdalFlow","owner":"SylphAI-Inc","repo":"AdalFlow","owner_avatar_url":"https://avatars.githubusercontent.com/u/109630329?v=4","primary_language":"Python","stars":4196,"forks":384,"topics":["agent","ai","auto-prompting","bm25","chatbot","faiss","framework","generative-ai","information-retrieval","llm","machine-learning","nlp","optimizer","python","question-answering","rag","reranker","retriever","summarization","trainer"],"archived":false,"github_pushed_at":"2026-05-29T05:49:13+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/sylphai-inc-adalflow","markdown_url":"https://www.graphcanon.com/tools/sylphai-inc-adalflow.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/sylphai-inc-adalflow","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=sylphai-inc-adalflow","shared_categories":["data-retrieval"]},{"slug":"reaviz-reaflow","name":"reaflow","tagline":"React library for building workflow editors, flow charts and diagrams","github_url":"https://github.com/reaviz/reaflow","owner":"reaviz","repo":"reaflow","owner_avatar_url":"https://avatars.githubusercontent.com/u/63881140?v=4","primary_language":"TypeScript","stars":2493,"forks":160,"topics":["diagrams","elkjs","flowchart","hacktoberfest","node-editor","react","reactjs","visualizations","workflow"],"archived":false,"github_pushed_at":"2025-06-04T09:08:50+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/reaviz-reaflow","markdown_url":"https://www.graphcanon.com/tools/reaviz-reaflow.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/reaviz-reaflow","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=reaviz-reaflow","shared_categories":[]},{"slug":"lucaswalter-n8n-ai-automations","name":"n8n-ai-automations","tagline":"Collection of n8n workflows and AI agents for The Recap AI YouTube channel and AI Automation Mastery Skool community","github_url":"https://github.com/lucaswalter/n8n-ai-automations","owner":"lucaswalter","repo":"n8n-ai-automations","owner_avatar_url":"https://avatars.githubusercontent.com/u/5252764?v=4","primary_language":null,"stars":1584,"forks":455,"topics":["agentic-ai","agentic-workflows","agents","ai","ai-agents","artificial-intelligence","automation","n8n","n8n-automation","n8n-workflow"],"archived":false,"github_pushed_at":"2026-03-02T20:09:37+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/lucaswalter-n8n-ai-automations","markdown_url":"https://www.graphcanon.com/tools/lucaswalter-n8n-ai-automations.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/lucaswalter-n8n-ai-automations","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=lucaswalter-n8n-ai-automations","shared_categories":[]},{"slug":"axflow-axflow","name":"axflow","tagline":"The TypeScript framework for AI development","github_url":"https://github.com/axflow/axflow","owner":"axflow","repo":"axflow","owner_avatar_url":"https://avatars.githubusercontent.com/u/142942237?v=4","primary_language":"TypeScript","stars":1122,"forks":41,"topics":["ai","llm","typescript"],"archived":false,"github_pushed_at":"2024-03-02T00:14:33+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/axflow-axflow","markdown_url":"https://www.graphcanon.com/tools/axflow-axflow.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/axflow-axflow","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=axflow-axflow","shared_categories":[]},{"slug":"rheosoph-flow-like","name":"flow-like","tagline":"Strongly Typed Enterprise Scale Workflows","github_url":"https://github.com/Rheosoph/flow-like","owner":"Rheosoph","repo":"flow-like","owner_avatar_url":"https://avatars.githubusercontent.com/u/129868896?v=4","primary_language":"Rust","stars":932,"forks":72,"topics":["agents","ai","apis","automation","data-flow","development","llm","low-code","mcp","mcp-client","mcp-server","no-code","rust","self-hosted","typed","typescript","visual-scripting","workflow","workflow-automation"],"archived":false,"github_pushed_at":"2026-08-12T05:55:52+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/rheosoph-flow-like","markdown_url":"https://www.graphcanon.com/tools/rheosoph-flow-like.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/rheosoph-flow-like","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=rheosoph-flow-like","shared_categories":[]}]}}