thinkfleetai/memmesh/import

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.