mco

CLI-first orchestration for AI coding agents: run selected agents and models in parallel, compare raw answers, and coordinate review or implementation workflows.

Not yet testedsource: GitHubPythonMITcommit d7fef6c96dca

Python, MIT licensed. The project labels itself: ai agents, ai ide, claude, cli, code review, codex, copilot and cursor.

mco has not been verified yet.

Measured by Argusic on a fresh machine every time. Every number links to its evidence.

At a glance

verdict
Not yet tested
Argusic Score
not scored yet
recorded runs
0
last tested
-
stars
529
forks
57
open issues
0
watchers
4
size
4 MB
created
last push

Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.

Also tested, in the same area

Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.

Run history

No recorded runs.

Topics (from GitHub)

ai-agentsai-ideclaudeclicode-reviewcodexcopilotcursordeveloper-toolsgeminigrok-buildhermes-agentmulti-agentopencodeorchestrationpi-coding-agentqwenwindsurf

Embed the badge

Markdown for the project README. It links back here; terms on the terms page.

[![Tested by Argusic](https://argusic.com/badge/mco.svg)](https://argusic.com/subject/mco)

Questions

Does mco run?
mco has not been fully verified yet. No recorded run has produced a verdict yet.
How did Argusic test mco?
On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
Where is the evidence for mco?
All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.

Discussion