agentao

Local-first, governed AI agent runtime for Python, embed it in your app, or run it as a CLI or ACP server. Permissions, MCP, memory and audit replay built in.

Not yet testedsource: GitHubhomepagePythonMITcommit cd1604bbcf82

Python, MIT licensed. The project labels itself: acp, agent framework, ai agent, cli, llm, local first, mcp and model context protocol.

agentao 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
307
forks
14
open issues
12
watchers
0
size
21 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)

acpagent-frameworkai-agentclillmlocal-firstmcpmodel-context-protocolopenai-compatiblepython

Embed the badge

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

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

Questions

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