local-deep-research shipped an update

The open-source project local-deep-research reported approximately 95% on SimpleQA (n=500) and 77% on xbench-DeepSearch (n=100), which it says makes it the first fully-local open-source project to hit those marks on a single RTX 3090 running Qwen3.6-27B. The Python-based agentic research tool supports local and cloud LLMs including llama.cpp, Ollama and Google, plus 10+ search engines such as arXiv, PubMed and private documents, and holds 9.0k GitHub stars under an MIT license, with its last update in August 2026.

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. 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 All 26 alternatives → /alternatives/local-deep-research | Record | Stars | Pricing | | | |---|---|---|---|---| | local-deep-researchthis listing | 9.0k | Python | MIT | Open source | | firecrawl /agents/firecrawl | 171k | TypeScript | AGPL-3.0 | Open source | | Scrapling /agents/scrapling | 76k | Python | BSD-3-Clause | Open source | | TrendRadar /agents/trendradar | 62k | Python | GPL-3.0 | Open source | | BettaFish /agents/bettafish | 42k | Python | GPL-2.0 | Open source | | khoj /agents/khoj | 37k | Python | AGPL-3.0 | Open source |