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jaceai

cmdop — messenger for AI agents

Installer for the cmdop CLI — an AI agent with a terminal and your files, on your machine.

pip install jaceai
jaceai

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

Most task automation is stuck behind someone else's browser session in someone else's data centre. It can click, but it cannot open your repository, run your test suite, or read the log that explains the failure.

cmdop is one binary that runs the agent locally, with a shell and the filesystem it is standing on. This package downloads it, verifies its checksum, and runs it.

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

The tools are the ones already on the machine

No sandbox image to build, no toolchain to mirror. Whatever is installed and configured on that machine — your interpreters, your credentials, your editors' config — is what the agent has to work with.

That is the whole reason to run it locally instead of renting a stranger's container.

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

jaceai                    # install cmdop (if needed), then run it
jaceai --install-only     # install, don't hand over
jaceai --prefix ~/bin     # choose the install directory
jaceai --force            # reinstall even if already present
jaceai --quiet            # print only the installed path
jaceai -- --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 jaceai only unpacks files. Nothing is downloaded or executed until you run jaceai.
  • No network access on import. import jaceai 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 jaceai

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

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

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

Links

License

MIT

Metadata

Release files for jaceai 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 jaceai 2.0.1
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jaceai-2.0.1.tar.gz 9.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for jaceai 2.0.1
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jaceai-2.0.1-py3-none-any.whl Python 3 none any Details

Total release size: 19.1 kB

Release files / jaceai-2.0.1.tar.gz

Download URL jaceai-2.0.1.tar.gz
Size 9.1 kB
Tags Source
SHA-256 checksum
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5204d1e8fb818976a132615202687e82a68a2ce8263021a74a27549193e5254c
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Release files / jaceai-2.0.1-py3-none-any.whl

Download URL jaceai-2.0.1-py3-none-any.whl
Size 10.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
9d8e72aa22876ba9aea4f1d3d6d13a76d91fe5c750dc39eb7c75a63ca1701b90
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Uploaded via twine/6.2.0 CPython/3.12.2

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