thinkfleetai import
Load durable knowledge into MemMesh.
1. Read the source
Accept: a MemMesh export (Markdown or JSONL), a native MEMORY.md /
CLAUDE.md, an ADR folder, or a mem0 export dump.
2. Feed it in — prefer observe
For prose / notes / decisions, memory_observe each item so the engine
re-extracts and builds the knowledge graph:
{ "name": "memory_observe", "arguments": { "text": "<one fact/decision>", "projectId": "<repo>" } }
For a MemMesh JSONL backup where you must preserve exact ids/timestamps, use
memory_save per row instead.
3. Scope it
Project rules/decisions → scope: "project" with projectId. Personal
preferences → scope: "user" with userId. Batch by scope so it's consistent.
4. Idempotency & verify
memory_observe dedupes re-observed text, so a re-run is safe. After import,
run stats to confirm the count, and peek a couple of known facts to confirm
they're retrievable.
Importing a full mem0/Zep setup (not just a file)? Use
memmesh-migrate— it audits call sites, maps the API, and reconciles counts.