Skip to main content

CLI Agent Orchestrator (CAO)

English | 简体中文

PyPI version Python versions Ask DeepWiki

CLI Agent Orchestrator (CAO) coordinates multiple AI coding CLIs so a supervisor can delegate work to specialist agents in parallel or sequence.

📚 Documentation — guides, reference, and two interactive courses.

What CAO does

CAO runs a local cao-server, starts provider CLIs in isolated terminal sessions, and gives a supervisor tools for coordinating workers. The agents remain full CLI processes with their native authentication and capabilities. See CODEBASE.md for the runtime architecture and package layout.

Prerequisites

Install:

The focused provider guides contain installation, authentication, and provider-specific behavior.

Install CAO

Install the current main branch as a uv tool:

uv tool install git+https://github.com/awslabs/cli-agent-orchestrator.git@main --upgrade
cao --help

For a tagged release, install cli-agent-orchestrator from PyPI. See DEVELOPMENT.md for a source checkout. For container-based installation, see the devcontainer feature.

To update an existing CAO installation:

cao update

See Updating CAO for source-aware behavior and edge cases.

First supervisor launch

The unqualified commands below use CAO's default Kiro CLI provider. If you installed a different provider, follow its focused guide above for the provider override while keeping the same sequence.

  1. Install the built-in supervisor profile:

    cao install code_supervisor
    
  2. In terminal A, start the local server and leave it running:

    cao-server
    
  3. In terminal B, change to the project directory the agents should work in, then launch the supervisor:

    cd /path/to/your/project
    cao launch --agents code_supervisor
    
  4. Observe the supervisor in the attached launch terminal, open the Web UI at http://localhost:9889, or follow the tmux guide to attach to its session.

  5. Stop the named session when finished:

    cao shutdown --session {session-name}
    

    To stop every CAO session instead, run cao shutdown --all.

Where to go next

Operate CAO

  • Control-plane selection: choose the Web UI, shell CLI, operations MCP server, or plugins.
  • Web UI and MCP Apps: browser and host-rendered fleet interfaces.
  • Flows and workflows: scheduled runs and multi-step pipelines.
  • Skills: install, scope, and author reusable agent guidance.
  • Memory and self-learning: persistent cross-session memory, and the opt-in loop that turns workflow outcomes into lessons and promoted instructions.
  • AI-DLC portfolio example: coordinate parallel AI-DLC intents across repositories and isolated worktrees.
  • Cross-zone robot transport: coordinate simulated transport, measured custody handoffs, and independent checks.
  • Tool restrictions: roles, allowlists, and provider enforcement.
  • Kubernetes deployment: run a supervisor and worker fleet on Amazon EKS, with shared workspace, per-pod state, and credential delivery.
  • Updating CAO: update an installed uv tool.

Configure and integrate

Contribute

Contributing

See CONTRIBUTING.md and DEVELOPMENT.md before submitting changes. Documentation changes must also follow the documentation maintenance rule.

License

This project is licensed under the Apache License 2.0. See LICENSE.

Metadata

Release files for cli-agent-orchestrator 2.5.3

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

Source distribution (sdist)

Source distribution for cli-agent-orchestrator 2.5.3
File Size Uploaded
cli_agent_orchestrator-2.5.3.tar.gz 63.3 MB Details

Built distributions (wheels)

Table of built distributions (wheels) for cli-agent-orchestrator 2.5.3
File Interpreter ABI Platform
cli_agent_orchestrator-2.5.3-py3-none-manylinux_2_28_x86_64.whl Python 3 none Linux glibc 2.28+ x86-64 Details
cli_agent_orchestrator-2.5.3-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details

Total release size: 68.7 MB

Release files / cli_agent_orchestrator-2.5.3.tar.gz

Download URL cli_agent_orchestrator-2.5.3.tar.gz
Size 63.3 MB
Tags Source
SHA-256 checksum
How to use checksums
98b54e8b1274498b2f25a4197634f733240fcb7af2c9446444e2c9d1955ae82e
BLAKE2b-256 checksum
How to use checksums
1a7e22858a21f71f650badd433f1802f4cfcd8f4790d47368c85ca888fd8ec47
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 8, 2026.

Transparency log

Release files / cli_agent_orchestrator-2.5.3-py3-none-manylinux_2_28_x86_64.whl

Download URL cli_agent_orchestrator-2.5.3-py3-none-manylinux_2_28_x86_64.whl
Size 2.7 MB
Tags Linux glibc 2.28+ x86-64 Python 3
SHA-256 checksum
How to use checksums
a3475c84e86e986101a70443ea152b4bf2c1c8d234554d0a3ae3899478ac889f
BLAKE2b-256 checksum
How to use checksums
b5570eb6831275a26fe623105673287f67aadcffce2e69908694faf62628f31b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 8, 2026.

Transparency log

Release files / cli_agent_orchestrator-2.5.3-py3-none-macosx_11_0_arm64.whl

Download URL cli_agent_orchestrator-2.5.3-py3-none-macosx_11_0_arm64.whl
Size 2.7 MB
Tags Python 3 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
c80c5670e6eee2933cc874172e4900cf77b560e92d4ffb5e5fd79a33f1f689fb
BLAKE2b-256 checksum
How to use checksums
e5a5a3ae2e6adf5b88c18e96d739bef977877c608aeb9f5826bad6715143f75c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 8, 2026.

Transparency log

Release history Release notifications | RSS feed

This release

2.5.3 This release

3 release files

2.5.0

3 release files

2.4.1

2 release files

2.4.0

2 release files

2.3.0

2 release files

2.1.1

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