RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
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Updated
Sep 12, 2025 - TypeScript
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.
MS-Agent: Lightweight Framework for Empowering Agents with Autonomous Exploration in Complex Task Scenarios
TrustRAG:The RAG Framework within Reliable input,Trusted output
Open source and self-hostable browser automation library for AI agents
Open AI Search, Support DeepResearch, DeepSeek R1, Ollama/LMStudio, SearXNG, Docker. AI搜索引擎,支持DeepResearch, 本地模型、深度思考模型(DeepSeek R1)、聚合搜索引擎SearXNG,支持Docker一键部署。
Deep research agent to help you find the best GitHub repositories 🕵️!
Code to accompany the Universal Deep Research paper (https://arxiv.org/abs/2509.00244)
Awesome Deep Research list! For more details, please refer to our survey paper -- A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications
A Model Context Protocol (MCP) server for ATLAS, a Neo4j-powered task management system for LLM Agents - implementing a three-tier architecture (Projects, Tasks, Knowledge) to manage complex workflows. Now with Deep Research.
🧐 Open Deep Research Agent: Automated Knowledge Discovery with TextGAN
Deep Research through Multi-Agents, using GraphRAG
Write a survey report using a supported news site and GPT-4o LLM
Apex: An advanced autonomous coding agent for VS Code featuring total autonomy modes, recursive chain-of-thought reasoning, council-of-critics self-critique, persistent memory, dynamic personas, and extensive tool use capabilities.
基于langchain设计的智能体任务,包含规划会话场景资源,构建子任务,任务执行器包含(MCTS)
A Model Context Protocol (MCP) compliant server designed for comprehensive web research. It uses Tavily's Search and Crawl APIs to gather detailed information on a given topic, then structures this data in a format perfect for LLMs to create high-quality markdown documents.
A2A agent implementing OpenDeepResearch
A happy medium between AI search and GPT Agents
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