Agencies and consultancies live with a special version of the memory problem: context is per client, teams rotate, and the AI tools you use for one engagement must never leak into another. Memava's shape fits this naturally, because every vault is its own isolated world.
Everything the team learns about a client lives in that client's vault: the people, the decisions, the tone they like, the thing that went wrong in March. When a teammate rotates on, the vault is the onboarding. When your AI assistant works that account, it reads the same vault and writes what it learns back, attributed, so the next session and the next person start warm.
One vault per client means the walls are structural. There is no cross-client search to misfire, no shared database to misconfigure.
If a client ever asks "who can see our material", the answer is a short list you can read to them, including exactly what their AI could touch and an audit of what it read.
Engagements end. A Memava vault exports to plain markdown in one click, which means the knowledge you built together is a deliverable, not a hostage. Hand the client their vault and walk away clean; more than one renewal has come from exactly that gesture.
If you run AI systems for clients, a vault per client is also the memory layer for the agents you operate: durable, inspectable by the client, and under permissions they control. The developer page covers connecting your own harness.
Running vaults for clients? See the partner program.
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