can i fork it?
open sourceMITSelf-host★ 8.9kactive aug 2026

Local Deep Research

Less search box, more research intern: it searches, iterates and writes cited reports on your own hardware.

Technical Profile & Specs

verified 2026-08-14

Cost
$0 / forever (Open Source)
License
MIT
Hosting Model
Self-host (your server)
Platforms
webself-hostedclidocker to self-host
Installation
Start the Docker Compose stack, or install the Python package and separately run an LLM endpoint and search backend
Operational Setup
The nominal quick start still means Docker plus an LLM model and usually SearXNG; local models need substantial RAM/VRAM and several gigabytes of disk
Where Your Data Lives
Research history, settings, credentials and findings live in a per-user SQLCipher-encrypted SQLite database on the host; reports export as Markdown or PDF and indexed private documents remain local
The Catch / Trade-off
It is slower and substantially heavier to operate, especially with local models, than Perplexity's immediate search-and-answer workflow.

Replaces 1 paid app

up to $20/mo ($240/yr) in subscriptions

Local Deep Research FAQ

Common questions

Is Local Deep Research free and open source?+

Local Deep Research is an open-source tool licensed under MIT that runs on self-host. Less search box, more research intern: it searches, iterates and writes cited reports on your own hardware.

What paid software does Local Deep Research replace?+

Local Deep Research serves as a free replacement for 1 paid SaaS application: Perplexity, saving up to $20/month ($240/year) in subscription bills.

How do you install and set up Local Deep Research?+

Installation: Start the Docker Compose stack, or install the Python package and separately run an LLM endpoint and search backend. Setup notes: The nominal quick start still means Docker plus an LLM model and usually SearXNG; local models need substantial RAM/VRAM and several gigabytes of disk

What is the catch or trade-off with Local Deep Research?+

It is slower and substantially heavier to operate, especially with local models, than Perplexity's immediate search-and-answer workflow.