Memory is one of the biggest differences between a disposable assistant and a workspace that feels trained over time.
Useful places to explore first:
What memory should hold
Good OpenClaw memory usually stores:
- user preferences
- project constraints
- architectural decisions
- recurring operating rules
- unresolved questions
What memory should not hold
Avoid storing:
- transient tool noise
- huge duplicate notes
- stale snapshots that no one updates
Practical structures
Common patterns include:
- a decision log
- a project ledger
- role-specific notes
- a small set of stable operating principles
Study these examples:
Why memory matters
Without memory, workspaces tend to rediscover the same context over and over. With memory, they become easier to guide and easier to trust.