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Tech riderRev. 20 Sept 2026

Local Deep Research

Ch 156.5of 28 AI Research Assistants
  1. 1Runs onAPI, Linux, Mac, self-hosted, Web, Windows
  2. 2CostsNot stated by the maker
  3. 3Source citationsYes
  4. 4Deep research modeYes
  5. 5Source accessweb+files+connectors
  6. 6File uploadsYes
5 lines stated Written from the maker's own pages: github.com
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The Local Deep Research homepage

Overview

Local Deep Research is ranked #15 of 28 in AI research assistants on Specifiction. It runs on API, Linux, macOS, Self-hosted, Web, Windows.

Compared on AI research assistants

Free plan
Yesgithub.com
Source citations
Yesgithub.com
Deep research mode
Yesgithub.com
Source access
web+files+connectorsgithub.com
File uploads
Yesgithub.com

Facts

Purpose
Local Deep Research is an AI research assistant that performs agentic research with multiple LLMs and search engines, then produces cited reports.github.com · 4 Oct 2026
Research modes
It offers quick summaries, detailed research, report generation and document analysis.github.com · 4 Oct 2026
Knowledge base
It can download sources into an encrypted library, index them and search them alongside the live web.github.com · 4 Oct 2026
Search integrations
Listed sources include arXiv, PubMed, Semantic Scholar, Wikipedia, SearXNG, GitHub, Elasticsearch, Wayback Machine, The Guardian and Wikinews.github.com · 4 Oct 2026
LLM integrations
It supports local models through Ollama, LM Studio and llama.cpp, plus OpenAI, Anthropic Claude, Google Gemini, OpenRouter, Requesty and compatible endpoints.github.com · 4 Oct 2026
Knowledge base integrations
LangChain-compatible retrievers can connect sources including FAISS, Chroma, Pinecone, Weaviate and Elasticsearch.github.com · 4 Oct 2026
API and assistant integration
It provides authenticated HTTP and Python APIs and an MCP server for Claude Desktop and Claude Code.github.com · 4 Oct 2026
Exports and subscriptions
It supports PDF and Markdown exports and scheduled research digests delivered as Markdown reports or structured summaries.github.com · 4 Oct 2026
Data security
The project says each user gets an isolated SQLCipher database encrypted with AES-256 using a key derived from their password, and that passwords are not stored.github.com · 4 Oct 2026
Privacy
The project says it has no telemetry, analytics, tracking, crash reporting or phone-home calls; network requests are for user-initiated searches, model calls and configured notifications.github.com · 4 Oct 2026
Egress limits
The project describes egress scopes as best-effort guard rails rather than an air gap or hard security boundary.github.com · 4 Oct 2026
MCP security limit
The MCP server is intended for local STDIO use and has no built-in authentication or rate limiting.github.com · 4 Oct 2026
Deployment
Installation options include Docker, Docker Compose and pip; the README says pip installation works on Windows, macOS and Linux.github.com · 4 Oct 2026
Support
The project points users to Discord, Reddit and GitHub Issues for help, updates and bug reports.github.com · 4 Oct 2026
Knowledge integrations
LangChain-compatible retrievers are supported, including FAISS, Chroma, Pinecone, Weaviate, and Elasticsearch.github.com · 5 Oct 2026
Interfaces
The project provides a web UI, Python API, authenticated HTTP REST API, and an MCP server for Claude Desktop and Claude Code.github.com · 5 Oct 2026
Security
The project says each user receives an isolated SQLCipher database encrypted with AES-256, with the key derived from the login password.github.com · 5 Oct 2026
Egress limitation
The project describes egress scopes as best-effort guard rails rather than an air gap or hard security boundary.github.com · 5 Oct 2026
MCP limitation
The MCP server is intended for local STDIO use and has no built-in authentication or rate limiting.github.com · 5 Oct 2026
License
The repository states that Local Deep Research is distributed under the MIT License.github.com · 5 Oct 2026

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Sources