Carrel

Carrel is a self-hosted knowledge base that lets AI agents search your own documents and their related facts for accurate answers.

What it is good for

  • Giving an AI agent answers from your own product documents and files
  • Searching contracts, research, and meeting notes across many files
  • Finding source passages and images inside large document collections
  • Keeping a searchable knowledge base updated as files change

At a glance

Who it is for
Setup
Guided command-line setup

Level 4 of 5. You copy and paste commands into a terminal by following the instructions. Comfortable territory for vibe coders.

Cost
Free and open source
Type
Agent app
Tasks
Works with
Claude Code, Codex, Neo4j, Qdrant, OpenSearch, MinerU

Momentum

Rank this week
Not ranked (last #66, week 42, 2026)
Best rank
#66 week 42, 2026
GitHub stars
681

GitHub numbers as of Nov 2, 2026. Updated weekly.

0 368 735 Sep 24, 2026 Nov 2, 2026
GitHub stars for Carrel: 0 on Sep 24, 2026, 681 on Nov 2, 2026. Source: GitHub.

Ranking history

First ranked in week 42, 2026.

Questions

Is Carrel free?
Yes. It is free and open source (MIT license).
Do I need to know how to code to use Carrel?
You do not need to write code, but setup means copying and pasting commands into a terminal by following its instructions.
What does Carrel work with?
According to its own documentation, it works with Claude Code, Codex, Neo4j, Qdrant, OpenSearch, and MinerU.
What is Carrel good for?
Giving an AI agent answers from your own product documents and files, searching contracts, research, and meeting notes across many files, finding source passages and images inside large document collections, and keeping a searchable knowledge base updated as files change.

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Last updated Nov 2, 2026. Tracked since Oct 29, 2026. The summary was written by an AI model from the project's own description and checked against our copy rules. Spotted an error? Tell us.