local-deep-research — Agent Tool by LearningCircuit

by LearningCircuit · Agent Tool · ★ 7.1k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About local-deep-research

Local Deep Research [![OpenSSF Scorecard](https://api.securityscorecards.dev/p

academiaanthropicarxivbravedeep-researchencryptionhome-automationhomeserverlocallocal-deep-research

Quick Facts

Stars7,073
Forks626
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score48.388/100
Open Issues265
Last Updated2026-05-10
Created2025-02-09
Platformspython
Est. Tokens~2978k

Compatible Skills

These tools work well together with local-deep-research for enhanced workflows:

  • arxiv-mcp-server — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)
  • gpt-researcher — semantic(0.26)+complementary+rare_topics+same_lang+similar_pop+shared_platform (59%)
  • paperbanana — semantic(0.25)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)

local-deep-research alternative? Top 6 similar tools

Looking for a local-deep-research alternative? If you're comparing local-deep-research with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • agentops by AgentOps-AI · ⭐ 5.4k

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  • deep-research by u14app · ⭐ 4.6k

    Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.

  • ruby_llm by crmne · ⭐ 3.9k

    One beautiful Ruby API for OpenAI, Anthropic, Gemini, Bedrock, Azure, OpenRouter, DeepSeek, Ollama, VertexAI,

  • maid by Mobile-Artificial-Intelligence · ⭐ 2.4k

    Maid is a free and open source application for interfacing with llama.cpp models locally, and with Anthropic,

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Frequently Asked Questions

What is local-deep-research?

local-deep-research is ~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 is categorized as a Agent Tool with 7.1k GitHub stars.

What programming language is local-deep-research written in?

local-deep-research is primarily written in Python. It covers topics such as academia, anthropic, arxiv.

How do I install or use local-deep-research?

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 7.1k stars and 626 forks, indicating an active community.

What license does local-deep-research use?

local-deep-research is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to local-deep-research?

The top alternatives to local-deep-research on Agent Skills Hub include open-multi-agent, open-multi-agent, agentops. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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