metis

Metis is a coding agent that boosts AI/LLM coding performance by 50%

Not yet testedsource: GitHubhomepageTypeScriptMITcommit fb56c019b2a0

TypeScript, MIT licensed. The project labels itself: agent orchestration, agent skills, agentic workflow, ai agents, ai coding, automated testing, autonomous agents and claude code.

metis 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
313
forks
31
open issues
1
watchers
7
size
65 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)

agent-orchestrationagent-skillsagentic-workflowai-agentsai-codingautomated-testingautonomous-agentsclaude-codeclicode-reviewcodexcoding-agentsdeveloper-toolsgithub-copilotmulti-agent-systemsopencodeprompt-engineeringsubagentstest-driven-developmentworkflow-automation

Embed the badge

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

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

Questions

Does metis run?
metis has not been fully verified yet. No recorded run has produced a verdict yet.
How did Argusic test metis?
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 metis?
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