memmesh-cli
MemMesh CLI + local MCP server — the zero-infra, no-API-key path to the same engine as the hosted SDK. Runs fully local over SQLite. Covers install (wires MCP config + the teaching skill into Claude Code / Cursor / Windsurf / Codex), and the memory subcommands (save / get / search / migrate / mcp / serve). TRIGGER when: user mentions "memmesh cli", "memmesh install", "thinkfleet-memory" binary, "npx @thinkfleet/memmesh", running `memmesh mcp`, or wants local memory with no hosted account. DO NOT TRIGGER for: the hosted TS SDK (use `memmesh-sdk`), or the always-on observe/recall behavior (use the `memmesh` skill).
ソース情報
- リポジトリ
- ThinkfleetAI/memmesh
- ソースの最終更新活動
- 2026年7月13日 02:13
- 検出された SKILL.md の言語
- 英語
- スター
- 420
- フォーク
- 439
インストール方法
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ソースファイルを確認
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
SKILL.md を表示中
SKILL.md
ソースの指示 · 読み取り専用プレビュー- name
- memmesh-cli
- description
- MemMesh CLI + local MCP server — the zero-infra, no-API-key path to the same engine as the hosted SDK. Runs fully local over SQLite. Covers install (wires MCP config + the teaching skill into Claude Code / Cursor / Windsurf / Codex), and the memory subcommands (save / get / search / migrate / mcp / serve). TRIGGER when: user mentions "memmesh cli", "memmesh install", "thinkfleet-memory" binary, "npx @thinkfleet/memmesh", running `memmesh mcp`, or wants local memory with no hosted account. DO NOT TRIGGER for: the hosted TS SDK (use `memmesh-sdk`), or the always-on observe/recall behavior (use the `memmesh` skill).
- license
- Apache-2.0
- metadata
- {"author":"thinkfleet","category":"ai-memory","tags":"memory, cli, mcp, local, sqlite"}
- compatibility
- The `memmesh` (a.k.a. `thinkfleet-memory`) Rust binary on PATH, or `npx @thinkfleet/memmesh` (dependency-free shim). Local mode needs no API key; data lives in ~/.thinkfleet-memory/memory.db.
# MemMesh CLI
The CLI drives the **same Rust engine** as the hosted platform, but fully local
over SQLite — no account, no key, no network. It is also the recommended way to
give **any** MCP-capable agent persistent memory.
## Install (one command, multi-tool)
```bash
npx @thinkfleet/memmesh install # or: memmesh install
```
This auto-detects your installed AI tools and, for each, writes the MCP server
config **and** drops the teaching skill:
- Claude Code (`~/.claude.json` + `~/.claude/skills/`)
- Cursor (`~/.cursor/mcp.json`)
- Windsurf
- Codex CLI
Useful flags: `--dry-run` (preview), `--tool <name>` (one tool only),
`--skill-only` / `--mcp-only`, `--force` (overwrite existing config).
Verify wiring at any time:
```bash
memmesh doctor # checks binary, MCP config, skill presence, hooks
```
## Memory subcommands
```bash
memmesh save --type preference --scope user --content "prefers pnpm over npm"
memmesh get <id>
memmesh search --project myapp --query "database" # substring/scoped search
memmesh list --project myapp --limit 20
memmesh migrate # run pending DB migrations
```
## Run the MCP server
Most agents launch this for you via the config the installer wrote. To run it
by hand (stdio JSON-RPC 2.0):
```bash
memmesh mcp
```
The server exposes 15 tools — see the `memmesh` skill for the full list and the
observe/recall usage pattern. Highlights beyond basic CRUD:
`memory_predict`, `memory_build_context`, `memory_graph_reason`,
`memory_query_graph`, `memory_prefetch_related`, plus the client-LLM graph
extraction pair (`memory_extract_pending` / `memory_commit_extraction`) — the
engine never makes LLM calls; your agent's own model does the extraction.
## Local vs hosted
| | Local (CLI + MCP) | Hosted (SDK / Mesh Router) |
|---|---|---|
| Storage | SQLite (`~/.thinkfleet-memory/memory.db`) | Postgres, multi-tenant |
| API key | not required | `mm-…` key or Cognito JWT |
| Surface | 15 MCP tools + CLI | full TS SDK (`memmesh-sdk`) |
| Sync | CRDT-style bi-temporal push to server (optional) | authoritative |
Free tier caps local storage at 500 items (`free_tier.entry_cap` in
`~/.thinkfleet-memory/config.toml`).
## Config
`~/.thinkfleet-memory/config.toml` holds the sync URL, JWT token, and tier caps.
Point `sync.url` at your hosted mesh to push local memory up; leave it unset to
stay fully offline.
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