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
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.
[](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.