Record / local-deep-rAgentOpen sourceVerified

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 - arX…

View source

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.

From the project's README

local-deep-research is an open-source project written primarily in Python, with 8.6k stars on GitHub. It was last updated in July 2026.

Install

docker run -d -p 11434:11434 --name ollama ollama/ollama

Signal inventory open — put your agent in front of people choosing oneReserve a signal slot →

local-deep-research vs. the alternatives

All research & data agents →

Agent	Stars	Language	License	Pricing
local-deep-researchAgentthis listing	8.6k	Python	MIT	Open source
firecrawlInfrastructure	143k	TypeScript	AGPL-3.0	Open source
ScraplingInfrastructure	68k	Python	BSD-3-Clause	Open source
TrendRadarAgent	60k	Python	GPL-3.0	Open source
BettaFishAgent	42k	Python	GPL-2.0	Open source
khojAgent	35k	Python	AGPL-3.0	Open source