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local-deep-research

LearningCircuit/local-deep-research

Supports local and cloud LLMs with encrypted search from diverse sources.

GitHub

GraphCanon updated Sep 19, 2026 · GitHub synced Sep 19, 2026

41views this month

9.1k stars824 forksLast push Sep 19, 2026 Python MIT

Decision brief

For deep research locally encrypted, supports retrieval-augmented generation using diverse LLM frameworks on local GPU or cloud, searches through arXiv, PubMed, personal documents.

Good fit when

You need encryption for all data processing steps and want support for various sources like academic articles and personal files.
Your research environment is either solely local, possibly using powerful GPUs like the NVIDIA 3090, or fully cloud-based.

Avoid when

If you require real-time collaboration features that are not supported by this tool's framework.
In scenarios where online connectivity is unreliable and external search engine support is considered critical.

Observed Jul 16, 2026 · Source: enrich:decision_facts

local-deep-research alternatives Trust report

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Maintenance and security

Full trust report

Maintenance: Very active (0d since push); As of Sep 19, 2026
Provenance: Not a fork · Personal account; As of Sep 19, 2026
Security (OSV): No lockfile; As of Jul 15, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install local-deep-research

PyPI

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A tool for deep research locally encrypted supporting retrieval-augmented generation using various LLM frameworks on both local GPU (like NVIDIA 3090) and cloud services and searching through multiple engines like arXiv, PubMed, personal documents.

Capability facts

Deploy: Self-host
Source: dockerfile:Dockerfile · Sep 19, 2026
Docker: Dockerfile present
Source: dockerfile:Dockerfile · Sep 19, 2026
CLI: CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 19, 2026
MCP server: No MCP server detected
Source: repo_scan · Sep 19, 2026
Languages: python, javascript
Source: github.language+package.json+pyproject.toml · Sep 19, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

LangChain integrationLangChain

Source: README excerpt (regex_v1, Sep 20, 2026)

[LangChain](https://github.com/hwchase17/langchain) • [Ollama](https://ollama.ai) &bu

Source link

Python runtimePython

Source: README excerpt (regex_v1, Sep 20, 2026)

pip install "local-deep-research[mcp]"

Source link

README

⚡ Quick Start Option 1: Docker Run (Linux) Getting Started Installation Guide Frequently Asked Questions API Quickstart Configuration Guide Full Configuration Reference Infrastructure & Frameworks LangChain • Ollama • SearXNG • FAISS 📄 License MIT License see LICE...

For agents

This page has a .md twin and JSON over the API.

/tools/learningcircuit-local-deep-research.md GET /api/graphcanon/tools/learningcircuit-local-deep-research GET /api/graphcanon/graph?tool=learningcircuit-local-deep-research