Agent Loop Runtime
Agent Loop Runtime is a portable, local-first self-check layer for coding agents and agentic apps.
It is built for one practical failure mode: an agent is about to act or make a strong claim, and it needs a cheap reminder to ask, verify, or stop before the mistake becomes expensive.
It is not a cloud service, a monitor, a policy oracle, or a general lie detector. It reads only the explicit text and files you give it.
Install
From PyPI:
pip install agent-loop-runtime
From a source checkout:
python -m agent_loop_runtime doctor --compact
python -m agent_loop_runtime release-check --compact
Quick use
agent-loop-runtime check --action "inspect this workspace read-only" --compact
Typical signals:
PASSmeans continue within the stated scope.WARNmeans label uncertainty or verify before claiming.ASKmeans ask before expanding scope or taking a write/external/private action.BLOCKmeans do not proceed as stated.
Why it exists
Agent Loop Runtime turns a few useful habits into reusable infrastructure:
- authorization checks before actions;
- guess and evidence checks before strong claims;
- compact signals that humans and agents can both consume;
- local schemas and examples for repeatable integration.
The design goal is boring reliability: small checks, explicit boundaries, no unnecessary token burn, and no hidden network behavior.
Documentation
Project
Mind Loops Lab is directed by one human owner, implemented with Codex, and reviewed with Claude as an independent second set of eyes.
License: MIT.
1 maintainer
Metadata
1 maintainer
Release files for agent-loop-runtime 0.1.2
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