Description
Long-running agents feel like different people after each restart, forgetting history and persona. Adam Framework gives OpenClaw a five-layer persistent memory and identity architecture.
It layers short-term context, long-term memory and identity so agents stay consistent across hundreds of sessions.
Five layers:Tiered memory.
Identity:Consistent persona.
Long-running:Hundreds of sessions.
It layers short-term context, long-term memory and identity so agents stay consistent across hundreds of sessions.
Features
Five layers:Tiered memory.
Identity:Consistent persona.
Long-running:Hundreds of sessions.
