Persistent memory for AI agents. Be one of the first teams to build on it, and help shape where it goes.
Every conversation starts blank. Users repeat themselves, multi-agent handoffs forward entire transcripts and every lesson learned disappears the moment the session ends. You pay for that amnesia in wasted tokens and frustrated users.
Agent Memory fixes it in three lines of code. It gives your agents persistent, searchable memory with native .NET support, plus adapters for the agent frameworks you already use. Think of it as a teammate who:
Your agents never start from a blank slate. Preferences, past decisions and prior work come back in under 50ms.
Named namespaces let agents hand off what they know, so you stop forwarding entire conversation transcripts between them.
Agent Memory runs as a fully managed service, so there's no memory store to provision, scale or keep running yourself.
Source: Progress internal estimate