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ProductJuly 2, 20266 min read

Product Management Memory for AI Agent Teams

Ville YlläsjärviFounder of RAAV

Your roadmap may be in Notion while your agents work from chat. Product management memory is the small, durable record that keeps goals, tasks, and decisions consistent between the two.

What is product management memory?

A useful product memory answers five questions: What are we building? What did we decide? What is being worked on? What is stuck? What was actually verified?

A CLAUDE.md or AGENTS.md can hold stable instructions. RAAV adds the moving parts around them: named work, branch ownership, founder decisions, and a history of completed runs.

The record stays with the project. Coding agents supply the reasoning; RAAV does not add another model call to maintain the plan.

Why chat and Notion are not enough

Agents do not read your Notion unless you paste it every session. Slack threads do not link to verification status. Git history shows diffs, not product intent.

When product truth lives in RAAV, `raav next` and the Product OS read the same backlog agents write with `raav submit`.

Minimum viable product memory

Start with one active goal, three requirements, and tickets that name verification commands. Require agents to submit with summary and files before closing work.

Then review the guesses. A founder-confirmed fact and an agent inference should never look identical.

Who this is for

It is most useful once one chat window is no longer enough: two agents, several worktrees, or a new developer asking why the product looks the way it does.

Test RAAV on a real repo

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Product Management Memory for AI Agent Teams