mnemoScale is the governed memory layer for enterprise AI agents, built in the open with the design partners who need it in production. See it work below, or talk to us about joining early.
Each one runs on the real mnemoScale memory model. Chat with them yourself — no slides, no staged screenshots.
Most teams start by dumping conversation history into a prompt, then bolt on a vector database when that stops scaling. Neither gives you lifecycle, visibility, or proof of what an agent actually used. mnemoScale is the layer in between — memory with identity, policy, and audit built in.
Scope memory to users, agents, teams, and processes.
Control who writes, reads, retains, and erases.
Add, update, supersede, and soft-delete with a ledger.
Know which agent and session produced a memory.
Shipping agents inside your product with tenant-isolated memory from day one.
Internal agent platforms that need to remember safely across workflows.
Stop rebuilding memory plumbing on every engagement.
We're onboarding a small number of design partners shipping multi-tenant agents or internal agent platforms. You get direct access to the team, a sandbox tenant to pilot in, and a say in what we build next.
Become a design partner