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Product & engineering

Connect Linear to your AI — your issues and product docs, queryable

Ragnight indexes your Linear issues and documents and makes them queryable by your assistants, citing the original issue.

The “why” behind a product decision lives in a Linear issue nobody can find again. Ragnight turns it into a memory: your AI answers by citing the issue and its state.

Use case — Product & engineering

A concrete use case

A developer picks up work abandoned six months earlier. Instead of tracing the issue trail, they ask the assistant where it stood and why it stopped.

Why was the export rework paused?
Awaiting a decision on the output format; the issue has sat in the backlog since March.
Linear · ENG-214

How it works

01 1

Connect Linear

Authenticate Linear in a few clicks. Ragnight indexes your content continuously, read-only, no developer.

02 2

Plug in your AI

ChatGPT, Claude, Mistral or your agents query Linear via the API or MCP connector — no copy-paste.

03 3

Cited, up-to-date answers

Every answer links back to its source in Linear. Sync keeps the memory current automatically.

What it changes

Semantic search across Linear

Ask in plain language; Ragnight finds the relevant passage inside Linear.

Cited, trustworthy answers

Every answer cites the source Linear document — verifiable, no hallucination.

No migration, read-only

Your content stays in Linear. Ragnight indexes it where it lives and keeps in sync.

EU-hosted, GDPR

Your data is isolated per organisation, encrypted and hosted in Europe.

Frequently asked questions

Are Linear documents supported?

Yes: issues and project documents are indexed, with their descriptions and comment threads.

Does Ragnight modify my data in Linear?

No. The Linear connector is read-only: Ragnight indexes your content for search, and never modifies or deletes it.

Connect Linear to your company's memory

Connect Linear, run your first search — no credit card, in under 5 minutes.