agent-loop-runtime is a portable, local-first runtime designed for humans, agents, and agentic applications. It provides self-check capabilities to ensure safe and correct execution of AI agent loops. Built as a Python package with an MIT license, it emphasizes local execution, AI safety, and cyber-safety features for developers building autonomous systems.
agent-loop-runtime is an AI security & guardrails project. It focuses on running and safely validating agentic applications and loops locally without cloud dependencies. It is built as an open-source project for developers. agent-loop-runtime is open source under the MIT license. agent-loop-runtime is available on the command line, and it can be self-hosted.
Behind agent-loop-runtime is Slaythar, and it first shipped in 2026. Among its 3 catalogued features are self-check runtime, local-first execution, and agent safety checks.
Summary written by a language model from the project’s public pages.
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