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
Nov 22, 2025 - Python
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
微舆:人人可用的多Agent舆情分析助手,打破信息茧房,还原舆情原貌,预测未来走向,辅助决策!从0实现,不依赖任何框架。
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.
Tongyi Deep Research, the Leading Open-source Deep Research Agent
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
Local Deep Research achieves ~95% on SimpleQA benchmark (tested with GPT-4.1-mini). Supports local and cloud LLMs (Ollama, Google, Anthropic, ...). Searches 10+ sources - arXiv, PubMed, web, and your private documents. Everything Local & Encrypted.
MS-Agent: Lightweight Framework for Empowering Agents with Autonomous Exploration in Complex Task Scenarios
DeepAnalyze is the first agentic LLM for autonomous data science. 🎈你的AI数据分析师,自动分析大量数据,一键生成专业分析报告!
TrustRAG:The RAG Framework within Reliable input,Trusted output
MiroMind Research Agent: Fully Open-Source Deep Research Agent with Reproducible State-of-the-Art Performance on FutureX, GAIA, HLE, BrowserComp and xBench.
MiroThinker is open-source agentic models trained for deep research and complex tool use scenarios.
Deep research agent to help you find the best GitHub repositories 🕵️!
Hybrid Schema-Guided Reasoning (SGR) has agentic system design created by neuraldeep community
An Open-Source AI Writing Project.
An implementation of iterative deep research using the OpenAI Agents SDK
Code to accompany the Universal Deep Research paper (https://arxiv.org/abs/2509.00244)
MCP server for enabling LLM applications to perform deep research via the MCP protocol
Local RAG researcher agent built using Langgraph, DeepSeek R1 and Ollama
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