~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.
About local-deep-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.
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.
local-deep-research is an open-source project written primarily in Python, with 9.0k stars on GitHub. It was last updated in August 2026.
docker run -d -p 11434:11434 --name ollama ollama/ollama
local-deep-research vs. the alternatives #
| Record | Stars | Pricing | ||
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| local-deep-researchthis listing | 9.0k | Python | MIT | Open source |
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| BettaFish | 42k | Python | GPL-2.0 | Open source |
| khoj | 37k | Python | AGPL-3.0 | Open source |