01
Status without the meeting
What is in progress for the billing migration, who owns each piece and what is blocked.
Linear + Memtro
Issues, projects and teams, synced hourly into memory.
Search issues, read an issue, list teams and projects. Issues are anchored to projects and assignees.
What you can do with Linear in Memtro
Ask in plain English from chat, your editor, a scheduled job or your own agent. The model picks the right Linear tool, reads what it needs, and answers with the source cited.
02
Decisions attached to work
Ask why an issue was closed and get the comments summarised, with names and dates.
- Search issues with filters
- Read an issue with comments
- Teams and projects
- Hourly sync of recent issues
Ask it like this
Questions people ask once Linear is connected. In agent mode each one also checks the other systems that know about the same people, companies or identifiers.
- ›What is left on the billing migration?
- ›Which issues are assigned to Priya and overdue?
Where it fits
Teams that get the most from Linear in Memtro, with the rest of their stack attached.
- ProductHear what customers actually ask forFeature requests are scattered across tickets, call notes, Slack threads and issues. Memtro reads them where they live, links them to the customers who raised them, and remembers which decision closed each one.
- EngineeringKeep decisions from evaporatingDecisions, owners and deadlines are extracted from conversations and tool results into a typed, time-aware memory. Corrections supersede old facts instead of piling up next to them.
- OperationsMonitors and digests that run themselvesJobs are prompts the agent runs on a schedule with the same tools as their owner. Create them in plain language, get the report in a chat, pause or change them in a sentence.
Better together
A record in Linear is rarely the whole story. Connect the systems that hold the rest and the agent cross-references them by default, then remembers what it learned so the next question starts further along.
Also in Work management
Using something else for the same job, or both? Each connector has its own tools; connect as many as you like.
How to connect
- 01Create a personal API key in Linear
- 02Paste it on Dashboard → Connections → Linear
Also works from
Chat in the dashboard, the OpenAI-compatible API, scheduled jobs, and any MCP client: Claude Code, OpenCode, Cursor, Claude Desktop. The Linear tools are the same everywhere.
Clients and agents →Questions
- Can Memtro change anything in Linear?
- No. The Linear connector is read-only: every tool reads, searches or lists. Nothing is created, sent, updated or deleted, and the credentials you give it should be read-only too.
- Who can use a Linear connection?
- A personal connection serves only your own requests. A shared connection serves the organisation: everyone, or only the teams an admin chooses. Admins can always add shared connections; other members need the permission.
- Does Memtro store my Linear data?
- Credentials are encrypted at rest. Tool results are cached briefly so agent loops do not repeat identical calls, and the facts the model extracts are saved to your organisation's memory with provenance (system, record and link) so they can be checked and superseded. An hourly sync anchors recently changed Linear records into memory as entities.
- How do I connect Linear?
- API key. Create a personal API key in Linear.
Connect Linear in a few minutes
Seven-day free trial, then one monthly price per organisation. Connectors, jobs and memory are never metered.