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Local Deep Research

Self-hosted AI research assistant for multi-step searches with local or cloud LLMs and your own document knowledge base.

Agent by LearningCircuit

IndexedMIT★ 9,402
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Chalk Labs

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Install

From the package registry. Read the repository before you give any tool access to your data.

pip install local-deep-research

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About

Local Deep Research is an AI research assistant that runs agentic research on your own machine, using any local or cloud LLM and building a searchable knowledge base from your documents. The README quick start runs Ollama and SearXNG in Docker alongside the app. The project reports benchmark results on SimpleQA and xbench-DeepSearch and keeps its database encrypted with SQLCipher.

Use cases: research, deep-research, knowledge-base, web-search

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Fact sheet

Jobs
researchREADME
Autonomy
Autonomous: runs tasks end to end and reports backREADME
Where you use it
WebREADME
Hosting
You run itREADME
Models
ollama, gpt-oss:20b, qwen3.6-27bREADME
Open source
Yes

Facts extracted by Claude Haiku 5.5 from the linked sources on Oct 24, 2026. Wrong fact? Tell us.

Built on

Frameworks named in its dependency files.

Signals

Stars
9,402
Forks
883
Open issues
990
Weekly downloads
1,184
Last commit
Oct 24, 2026 (6 days ago)
Last release
Aug 28, 2026 (2 months ago)
Last package publish
Aug 28, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Packages
pypi local-deep-research
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

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50+
launches shipped
media placements
500+
media placements
founders on every account
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founders on every account

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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

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Cite this page

Local Deep Research. Agent Mart. https://agentmart.dev/agents/local-deep-research (last updated 2026-10-24)