Local Deep Research

Spec sheet

Purpose

Local Deep Research is an AI-powered research assistant that searches multiple sources and synthesizes cited reports.Read 5 Oct 2026 · github.com

Deployment

Installation options include Docker Compose, Docker, pip, and an Unraid template; the installation guide names CPU-only Compose support for all platforms and Windows PowerShell instructions.Read 5 Oct 2026 · github.com

Security

The project says each user receives an isolated SQLCipher database encrypted with AES-256, with the key derived from the login password.Read 5 Oct 2026 · github.com

Privacy

The project says it has no telemetry, analytics, tracking, or crash reporting, and that network calls are initiated by the user’s configured search, model, or notification services.Read 5 Oct 2026 · github.com

Support

The project directs users to Discord and Reddit for community help and GitHub Issues for bug reports.Read 5 Oct 2026 · github.com

License

The repository states that Local Deep Research is distributed under the MIT License.Read 5 Oct 2026 · github.com

API and assistant integration

It provides authenticated HTTP and Python APIs and an MCP server for Claude Desktop and Claude Code.Read 4 Oct 2026 · github.com

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.Read 4 Oct 2026 · github.com

Egress limitation

The project describes egress scopes as best-effort guard rails rather than an air gap or hard security boundary.Read 5 Oct 2026 · github.com

Egress limits

The project describes egress scopes as best-effort guard rails rather than an air gap or hard security boundary.Read 4 Oct 2026 · github.com

Exports and subscriptions

It supports PDF and Markdown exports and scheduled research digests delivered as Markdown reports or structured summaries.Read 4 Oct 2026 · github.com

Interfaces

The project provides a web UI, Python API, authenticated HTTP REST API, and an MCP server for Claude Desktop and Claude Code.Read 5 Oct 2026 · github.com

Knowledge base

It can index downloaded papers and web pages in an encrypted library so users can search those sources alongside the live web.Read 5 Oct 2026 · github.com

Knowledge base integrations

LangChain-compatible retrievers can connect sources including FAISS, Chroma, Pinecone, Weaviate and Elasticsearch.Read 4 Oct 2026 · github.com

Knowledge integrations

LangChain-compatible retrievers are supported, including FAISS, Chroma, Pinecone, Weaviate, and Elasticsearch.Read 5 Oct 2026 · github.com

LLM integrations

Supported model options include Ollama, LM Studio, llama.cpp, OpenAI, Anthropic Claude, Google Gemini, OpenRouter, Requesty, and compatible custom endpoints.Read 5 Oct 2026 · github.com

MCP limitation

The MCP server is intended for local STDIO use and has no built-in authentication or rate limiting.Read 5 Oct 2026 · github.com

MCP security limit

The MCP server is intended for local STDIO use and has no built-in authentication or rate limiting.Read 4 Oct 2026 · github.com

Research modes

It offers quick summaries, detailed research, report generation, and AI analysis of private documents.Read 5 Oct 2026 · github.com

Search integrations

Listed search sources include arXiv, PubMed, Semantic Scholar, Wikipedia, SearXNG, GitHub, Elasticsearch, Tavily, Google via SerpAPI or Programmable Search Engine, and Brave Search.Read 5 Oct 2026 · github.com

Where Specifiction places it

• AI Research Assistants#25 of 287.3