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An Agent is a configurable AI agent definition in MemoryLake. Each agent has a model, system prompt, capabilities, and execution policies. When you create an agent, MemoryLake automatically generates an Actor identity for it — because actors are the subject of memory, and agents need to accumulate knowledge just like human users do.

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Key Concepts

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Versioning

Agent configuration is versioned. When you change the model, system prompt, or policies, you create a new version rather than modifying the existing one. This gives you a history of configurations and the ability to roll back. Identity fields (name, description, metadata) are updated in place via Update Agent — they don’t create a new version.

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Workspace Binding

Agents are created globally, then bound to specific workspaces. An agent can only operate within workspaces it is bound to.

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A2A Protocol

MemoryLake agents are accessible via the standard A2A (Agent-to-Agent) protocol. Use any A2A-compatible client to send messages to an agent, with MemoryLake’s metadata.memorylake extension providing memory context (actor identity, project bindings, model overrides).

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Endpoints