LearningCircuit/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 & Encryp
- Stars
- 9.4k
- Forks
- 879
- Open issues
- 1.0k
- Last push
- today
About local-deep-research
local-deep-research is a free, open-source LLM chat app by LearningCircuit, written mainly in Python. ~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 has 9.4k GitHub stars and 879 forks, and was last updated today. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Python
- Stars
- 9,382
- Last update
- today
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Yes
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local-deep-research FAQ
Is local-deep-research free?
Yes. local-deep-research is open source and free to use. It's released under the MIT license, a standard open-source license.
Does local-deep-research run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does local-deep-research need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is local-deep-research still maintained?
Yes. It was last updated today and has 1,020 open issues on GitHub.
What are alternatives to local-deep-research?
Similar free, open-source tools include open-webui, ollama, khoj, meetily.