local-deep-research

** ~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.**

⭐ 4,844 stars on GitHub · 🍴 460 forks · 📜 License: mit · 💻 Language: Python

What is local-deep-research?

An open-source smart home hub — integrates 1000+ IoT devices, condition-based automation, no vendor cloud dependency.

The biggest strength is full local operation when vendor cloud is down — your IoT keeps working.

Best for smart-home enthusiasts wanting control over lights, AC, cameras — immune to Alexa/Google deprecation.

Topics: the project is tagged with popular topics:

• 🏷️ academia
• 🏷️ anthropic
• 🏷️ arxiv
• 🏷️ brave
• 🏷️ deep-research
• 🏷️ encryption
• 🏷️ home-automation
• 🏷️ homeserver
• 🏷️ local
• 🏷️ local-deep-research

📸 Screenshots

Quick install

The project supports Docker Compose:

git clone https://github.com/LearningCircuit/local-deep-research.git
cd local-deep-research
docker compose up -d

Check the README in the repo for required env variables.

Minimum system requirements

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🎯 Benefits:

• One-command docker compose up -d deploy in 2 minutes
• Dedicated IPv4, root access, unmetered domestic bandwidth
• Daily snapshot backup
• Free install assistance from the VSIS team

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Resources

• 🔗 GitHub: LearningCircuit/local-deep-research
• 📚 Official docs: see README in the repo
• 💬 Community: GitHub Issues + Discussions

Article compiled from GitHub data on 05/05/2026. Star/fork counts may have changed — see live numbers via the GitHub link.