Use cases

A shared memory pays off anywhere you switch between AI tools or return to a project after a gap.

Coding#

Save your stack, conventions, and codebase context once, and every coding assistant - Cursor, Windsurf, Claude Code - starts with it. See MCP server.

Writing#

Teach the memory your voice, brand guidelines, and a project's history. Whichever AI you draft in stays on-voice.

Client work#

Keep each client's preferences and project details in their own bucket. Switch contexts without details bleeding across accounts.

Decisions#

Aggregate the pricing debates, trade-offs, and strategic choices you have worked through, so the reasoning is one search away next time.