by LearningCircuit · AI 工具 · ★ 9.3k
Local Deep Research AI-powered research assistant for deep, agentic research Performs deep, agentic research using multiple LLMs and search engines with proper citations ▶️ Watch Review by The Art Of The Terminal 🚀 What is Local Deep Research? AI research assistant you control. Run locally for privacy, use any LLM and build your own searchable knowledge base. You own your data and see exactly how it works. ⚡ Quick Start Option 1: Docker Run (Linux) Option 2: Docker Compose CPU-only (all platforms): With NVIDIA GPU (Linux): Open http://localhost:5000 after 30 seconds.
| Stars | 9,348 |
| Forks | 873 |
| Language | Python |
| Category | AI 工具 |
| License | MIT |
| Quality Score | 63.3147337301187/100 |
| Open Issues | 1258 |
| Last Updated | 2026-10-19 |
| Created | 2025-02-09 |
| Platforms | python |
| Est. Tokens | ~20k |
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local-deep-research is ~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 & Encryp. It is categorized as a AI 工具 with 9.3k GitHub stars.
local-deep-research is primarily written in Python. It covers topics such as academia, anthropic, arxiv.
You can find installation instructions and usage details in the local-deep-research GitHub repository at github.com/LearningCircuit/local-deep-research. The project has 9.3k stars and 873 forks, indicating an active community.
local-deep-research is released under the MIT license, making it free to use and modify according to the license terms.