{"repo":"LearningCircuit/local-deep-research","free":true,"listed":false,"github":"https://github.com/LearningCircuit/local-deep-research","clone":"git clone https://github.com/LearningCircuit/local-deep-research.git","description":"~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.","language":"Python","stars":8934,"topics":["academia","arxiv","brave","deep-research","local","local-llm","mistral","pubmed","research","research-tool"],"license":"MIT","category":"ai-agents","readme_excerpt":"Local Deep Research AI-powered research assistant for deep, agentic research Performs deep, agentic research using multiple LLMs and search engines with proper citations 🧪 First open-source project — fully-local on a single RTX 3090 (Qwen3.6-27B) — to report 95% SimpleQA (n=500) and 77% xbench-DeepSearch (n=100) on local hardware. See the r/LocalLLaMA announcement and the benchmark dataset. ▶️ 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) Mac / Windows / WSL2 users: --network host only works on native Linux. On Docker Desktop it silently fails to publish port 5000 and leaves localhost pointing at the LDR container itself (so it can't reach Ollama/SearXNG). Use Option 2 below, or see the Windows/WSL2 FAQ entry for a working docker run recipe. Option 2: Docker Compose CPU-only (all platforms): With NVIDIA GPU (Linux): Open http://localhost:5000 after 30 seconds. For GPU setup, environment variables, and more, see the Docker Compose Guide. Option 3: pip install You'll also need Ollama (or any OpenAI-compatible LLM endpoint) and SearXNG running — see the pip install guide for the full recipe. Works on Windows, macOS, and Linux. SQLCipher encryption is included via pre-built wheels — no compilation needed. PDF export on Windows requires Pango (setup","default_branch":null,"files":null,"tree":[],"storefront":"/r/LearningCircuit","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/LearningCircuit/local-deep-research/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}