LearningCircuit/local-deep-research

Local Deep Research achieves ~95% on SimpleQA benchmark (tested with GPT-4.1-mini). Supports local and cloud LLMs (Ollama, Google, Anthropic, ...). Searches 10+ sources - arXiv, PubMed, web, and your private documents. Everything Local & Encrypted.

89
/ 100
Verified

Implements an iterative research loop where the LLM autonomously formulates follow-up queries based on initial findings, enabling multi-step reasoning across distributed sources. Built on a modular architecture with pluggable search backends (SearXNG, direct API integrations) and SQLCipher-encrypted local storage for document indexing and retrieval. Integrates via REST API and Python SDK, supporting deployment through Docker Compose with optional GPU acceleration or standalone pip installation.

4,142 stars and 7,173 monthly downloads. Actively maintained with 610 commits in the last 30 days. Available on PyPI.

Maintenance 25 / 25
Adoption 19 / 25
Maturity 25 / 25
Community 20 / 25

How are scores calculated?

Stars

4,142

Forks

388

Language

Python

License

MIT

Last pushed

Mar 12, 2026

Monthly downloads

7,173

Commits (30d)

610

Dependencies

70

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