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.
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.
MS-Agent: Lightweight Framework for Empowering Agents with Autonomous Exploration
Local Deep Research achieves ~95% on SimpleQA benchmark (tested with GPT-4.1-mini) and includes benchmark tools to test on your own data. Searches 10+ sources - arXiv, PubMed, GitHub, web, and your private documents.
A native macOS app that allows users to chat with a local LLM that can respond with information from files, folders and websites on your Mac without installing any other software. Powered by llama.cpp.
TrustRAG：The RAG Framework within Reliable input,Trusted output
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。
Academic Survey Paper Generation.
Deep research agent to help you find the best GitHub repositories 🕵️!
Open source and self-hostable browser automation library for AI agents
An implementation of iterative deep research using the OpenAI Agents SDK
An Open-Source AI Writing Project.
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.
MCP server for enabling LLM applications to perform deep research via the MCP protocol
AI planner similar to OpenAI's deep research
[Up-to-date] Awesome Agentic Deep Research Resources
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