deep-research

An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.

AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary

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.

Tongyi Deep Research, the Leading Open-source Deep Research Agent

~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.

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.

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！

The memory-first, self-improving agent harness built on EverOS, with MiroThinker-powered deep research and reasoning.

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.

"Your Fully-Automated Personal AI Assistant"

TrustRAG：The RAG Framework within Reliable input,Trusted output

Open source and self-hostable browser automation library for AI agents

Open-source, self-hosted Claude Code - a terminal AI assistant and the Python framework behind it. Tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints, unlimited context - on Pydantic AI, any model.

An Open-Source AI Writing Project.

Deep research agent to help you find the best GitHub repositories 🕵️!

[ACL 2026 KnowFM] Awesome Agentic Deep Research Resources

🎨 Open-source AI slide studio inside Codex: image-native decks, every slide a full visual canvas. ⚡ 10+ high-quality slides in ~4–5 minutes — Fast mode renders every page in parallel. 🔍 Watch the whole chain live: research → outline → style → render → edit → present → export PDF/PPTX. 🖥️ Browser-first · zero API keys · durable projects.

An implementation of iterative deep research using the OpenAI Agents SDK