@agentmem/cli

One-command setup for AgentMem — the memory API for AI agents.

Usage

In an existing TypeScript or Python project:

npx @agentmem/cli init

The CLI will:

1. Detect whether your project is TypeScript or Python.
2. Install the matching SDK (@agentmem/sdk or agentmem-py) using your project's package manager (npm / pnpm / yarn / bun / pip / uv / poetry).
3. Add AGENTMEM_API_KEY= to .env.local (TS) or .env (Python).
4. Append that file to .gitignore if it isn't already.
5. Drop an agentmem-example.{ts,py} script that does a write + search round-trip.

Then paste your key from the dashboard into the env file and run the example.

Flags

| Flag | Effect | |---|---| | --lang ts\|python | Force a language; skip detection. | | --yes, -y | Skip the confirmation prompt (for CI). | | --skip-install | Don't run npm install / pip install — just write files. | | --help, -h | Print usage. | | --version, -v | Print version. |

What it does not do

• It does not create a key for you — you still grab one from the dashboard.
• It does not scaffold a new project. Run it inside an existing repo (package.json or pyproject.toml).
• It does not modify code outside the env file, gitignore, and one example file. Re-running is safe; existing files are left alone.

License

Apache-2.0