nmem-cli
A lightweight, single-binary CLI for Nowledge Mem - AI memory management that works with any AI agent.
Now a compiled binary. As of the 0.10.0 line,
nmem-cliships the Rust-builtnmembinary instead of a Python module.pip install nmem-clidownloads a platform wheel that contains the compiled CLI and putsnmemon yourPATH. There is no Python runtime requirement beyond pip itself, and no Python dependencies are installed. The command surface and behavior are unchanged.
Installation
pip install nmem-cli
Or with uv:
uv tool install nmem-cli # or: uv pip install nmem-cli
The wheel bundles the compiled nmem binary for your platform (macOS arm64/x86_64,
Linux x86_64/aarch64, Windows x64). No separate toolchain or interpreter is needed.
If you use the Nowledge Mem desktop app, the nmem
CLI is already bundled and can be installed from
Settings → Developer Tools → Install CLI (macOS), or automatically on Linux/Windows.
Requirements
- A running Nowledge Mem backend (default:
http://127.0.0.1:14242), local or remote.nmemis a thin HTTP client; it talks to that backend for every operation.
Quick Start
# Check server status
nmem status
# Launch interactive TUI
nmem tui
# List memories
nmem m
# Search memories
nmem m search "python programming"
# List threads
nmem t
# Show version
nmem --version
See the full command reference and JSON/agent usage at mem.nowledge.co/docs.
Connecting to a backend
# Local (default)
nmem status
# Remote, one-off
nmem --api-url https://mem.example.com status
# Remote, persisted
nmem config client set url https://mem.example.com
nmem config client set api-key nmem_your_key
Resolution priority: --api-url > NMEM_API_URL / NMEM_API_KEY >
~/.nowledge-mem/config.json > defaults.
Related
- Nowledge Mem - the full application
- This CLI is also bundled with the Nowledge Mem desktop app
Author
License
MIT
1 maintainer
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