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knolli

cmdop — messenger for AI agents

Installer for the cmdop CLI — an AI agent you can run without wiring up a stack first.

pip install knolli
knolli

That's it. knolli detects your platform, downloads the cmdop binary, verifies it against the published checksums, installs it, and hands over.

The usual first day with a self-hosted agent is not spent on the agent. It is spent on a compose file: a gateway, a backend, Postgres, Redis, a queue worker, each with its own upgrade path.

cmdop is one executable that is the agent, the relay, the local server and the web console at once. This package puts it on your machine.

How does CMDOP compare? CMDOP Skills vs OpenClaw: two approaches to AI agent skills →

One binary instead of a compose file

There is no database server to provision, no broker to keep alive, and no service mesh to reason about — so there is also no second machine whose only job is to run the parts.

The thing you upgrade is a file. The thing you back up is a directory.

What is cmdop

One executable that is the agent, the relay, the local server and the web console at once. There is no gateway, backend, database server or broker to stand up — you add one binary to a machine you already own.

  • run an AI agent on your own machine, with your own tools
  • reach it from anywhere: terminal, files, remote execution
  • connect machines into a fleet
  • works with Claude Code and other agent engines under the hood

Full documentation: docs.cmdop.com

Usage

knolli                    # install cmdop (if needed), then run it
knolli --install-only     # install, don't hand over
knolli --prefix ~/bin     # choose the install directory
knolli --force            # reinstall even if already present
knolli --quiet            # print only the installed path
knolli -- --help          # everything after `--` goes to cmdop

Default install directory is ~/.local/bin (%LOCALAPPDATA%\cmdop\bin on Windows). No sudo, no system directories.

What it does, precisely

  1. Detects your OS and architecture.
  2. Fetches SHA256SUMS from install.cmdop.com.
  3. Downloads the matching binary to a temporary file.
  4. Verifies the SHA-256 against the published checksum. On mismatch it aborts and installs nothing.
  5. Moves the verified binary into the install directory and marks it executable.
  6. Runs it.

Supported: macOS (Apple Silicon, Intel), Linux (x64, arm64), Windows (x64).

What it does not do

  • No side effects at install time. pip install knolli only unpacks files. Nothing is downloaded or executed until you run knolli.
  • No network access on import. import knolli touches nothing.
  • No telemetry. The package sends no analytics, ever.
  • No dependencies. Standard library only, so there is nothing to conflict with what you already have installed.

Python API

The installer is importable if you would rather script it:

import knolli

target = knolli.detect()
print(target.label, target.asset)

result = knolli.install()
print(result.path, result.sha256)

knolli.install() raises knolli.InstallError with a user-facing message on any failure, and knolli.UnsupportedPlatform when there is no published binary for the current machine.

Links

License

MIT

Metadata

Release files for knolli 2.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for knolli 2.0.1
File Size Uploaded
knolli-2.0.1.tar.gz 9.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for knolli 2.0.1
File Interpreter ABI Platform
knolli-2.0.1-py3-none-any.whl Python 3 none any Details

Total release size: 19.0 kB

Release files / knolli-2.0.1.tar.gz

Download URL knolli-2.0.1.tar.gz
Size 9.1 kB
Tags Source
SHA-256 checksum
How to use checksums
275d8141c702d8eac69635f102fd95425e9a02efcda413c5d5128c4c26bb24d3
BLAKE2b-256 checksum
How to use checksums
e0e6f76bacd428160a8247ad8013f54b285e35b142bb8de894370060d4af3944
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Uploaded using Trusted Publishing?
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No
Uploaded via twine/6.2.0 CPython/3.12.2

Release files / knolli-2.0.1-py3-none-any.whl

Download URL knolli-2.0.1-py3-none-any.whl
Size 9.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
7e8871b8fdc5f2f941b58999dc8162528b821f88242185b5ac023e32eabb1440
BLAKE2b-256 checksum
How to use checksums
6c27c53b990e144af84a24cc9fb0e19d3e9ed24c01e3edf1c8ec04cb409a2c64
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Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.12.2

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