by LearningCircuit · Agent Tool · ★ 4.7k
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Local Deep Research [ for Deep Research. Support SSE API and MCP server.
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local-deep-research is Local Deep Research achieves ~95% on SimpleQA benchmark (tested with Qwen 3.6). Supports local and cloud LLMs (Ollama, Google, Anthropic, ...). Searches 10+ sources - arXiv, PubMed, web, and your priv. It is categorized as a Agent Tool with 4.7k GitHub stars.
local-deep-research is primarily written in Python. It covers topics such as academia, anthropic, arxiv.
You can find installation instructions and usage details in the local-deep-research GitHub repository at github.com/LearningCircuit/local-deep-research. The project has 4.7k stars and 445 forks, indicating an active community.
local-deep-research is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to local-deep-research on Agent Skills Hub include open-multi-agent, agentops, deep-research. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.