Skip to main content

flowiseai

cmdop — messenger for AI agents

Installer for the cmdop CLI — an AI agent that executes real work, not a diagram of it.

pip install flowiseai
flowiseai

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

A flow builder is excellent at describing what should happen. The moment a step needs a shell, a file on disk, or a machine that is not the builder's own sandbox, the diagram stops and a deployment problem starts.

cmdop starts at the other end: a single binary on a real machine, with a real terminal, that an agent drives. This package installs it.

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

No canvas, no nodes — a machine and an agent

There is nothing to lay out and nothing to wire. The unit of work is a machine you already own; the agent reads and writes its files, runs its commands, and reports back.

When a step fails you get the command and its output, not a red node.

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

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

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

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

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

Links

License

MIT

Metadata

Release files for flowiseai 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 flowiseai 2.0.1
File Size Uploaded
flowiseai-2.0.1.tar.gz 9.1 kB Details

Built distribution (wheel)

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

Total release size: 19.2 kB

Release files / flowiseai-2.0.1.tar.gz

Download URL flowiseai-2.0.1.tar.gz
Size 9.1 kB
Tags Source
SHA-256 checksum
How to use checksums
7b723ddfab9005bc297969686ebe89d6849397d301f86511a6e0979822d2095e
BLAKE2b-256 checksum
How to use checksums
d63a7ba504663c43975656e3f67837bd7429ade9633337256201f9697f86ca26
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.12.2

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

Download URL flowiseai-2.0.1-py3-none-any.whl
Size 10.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
ad302197df4df85e035910824315597890dcacf1b95d845e142b0eae21e85052
BLAKE2b-256 checksum
How to use checksums
9fdce9320372708ac58b556f828a17cd0992fdf01d81999ba6b6d5c9dc4c6a2a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.12.2

Release history Release notifications | RSS feed

This release

2.0.1 This release

2 release files

2.0.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page