Updates, insights, and deep dives from the MemClaw team.
How AI agents evolved from stateless chatbots to Karpathy loops and Meta’s self-modifying hyperagents — and why governed shared memory is the missing infrastructure layer.
Read article →A deep dive into MemClaw’s architecture: the write path, search path, governance layer, and integration surface that power governed shared memory for agent fleets.
OpenClaw turned AI from a tool you prompt into a coworker that lives on your machine. Now enterprises are deploying fleets — and discovering that the hardest problem isn’t the agent.
Agent fleets are scaling. Memory isn’t. The missing layer between isolated agents and compounding intelligence is governed shared memory — and building it is harder than you think.