thinkfleetai/memmesh/dream

dream

Agent-driven consolidation. MemMesh keeps provenance, so consolidation is supersede/reject, not destructive rewrite.

1. Survey

{ "name": "memory_stats", "arguments": { "projectId": "<repo>" } }

A high total or a large superseded/rejected share signals it's worth a pass.

2. Find redundancy

Pull the set (memory_list) or search hot topics, and identify:

• Duplicates — same fact stored multiple times.
• Contradictions — two memories that can't both be true.
• Stale — superseded facts still cluttering results, or one-off noise.

3. Consolidate (confirm first; never touch pinned items)

• Contradiction / changed fact → keep the newest, memory_supersede the

older byId the newer. Provenance is preserved.

• Exact duplicate → keep one, memory_delete the rest (soft).
• Stale noise → memory_delete (soft) after confirming with the user.

Do not delete anything marked pinned (high importance / impact HIGH / confirmed) — see the pin skill. When in doubt, supersede rather than delete.

4. Report

Summarize: N duplicates merged, M contradictions resolved, K stale retired, and the new total. Suggest re-running when stats drift again.

Hosted tenants can offload this to the server-side consolidator

(memory.consolidate / dedup in the SDK); locally, this agent-driven pass is

the consolidation path.