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onboard

Set up MemMesh for a new project — verify the MCP server is wired, pick local vs hosted, import any existing project knowledge (MEMORY.md, CLAUDE.md, a mem0 export), and seed initial scopes. Use on first run in a repo, when the API key changes, or to re-run setup after config changes.

Informations de source

Dépôt
ThinkfleetAI/memmesh
Dernière activité de la source
13 juillet 2026 à 02:13
Langue détectée de SKILL.md
anglais
Étoiles
420
Forks
439

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Lisez SKILL.md et les fichiers associés affichés par SkillsMP avant de décider de l'installer.

Affichage de SKILL.md

SKILL.md
Instructions source · Aperçu en lecture seule
name
onboard
description
Set up MemMesh for a new project — verify the MCP server is wired, pick local vs hosted, import any existing project knowledge (MEMORY.md, CLAUDE.md, a mem0 export), and seed initial scopes. Use on first run in a repo, when the API key changes, or to re-run setup after config changes.
# onboard Get a project ready to use MemMesh. ## 1. Verify wiring ```bash memmesh doctor # binary + MCP config + skill presence ``` If the MCP server isn't connected, run `npx @thinkfleet/memmesh install` (see the `memmesh-cli` skill), then re-check. ## 2. Local or hosted? - **Local** (default): SQLite, no key, offline. Good for dev tools. - **Hosted**: set `MEMMESH_API_KEY` / `sync.url` in `~/.thinkfleet-memory/config.toml`. Needed for cross-device sync, the full SDK, and server-side prediction/verticals. ## 3. Seed existing knowledge If the repo already has durable context, import it (see the `import` skill): `MEMORY.md`, `CLAUDE.md`, an ADR folder, or a **mem0 export** (then consider `memmesh-migrate` for a full switch). Feed each item via `memory_observe` so the engine extracts + builds the graph, scoped `project`. ## 4. Confirm Run `stats` to show what's now in scope, and remind the user of the two-rule loop: the agent will **observe** their messages and **recall** at session start automatically (the always-on `memmesh` skill). Nothing else to configure.
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