action-guardrail is an open-source Python package providing a policy evaluation layer for AI agent tool calls. It helps developers enforce safety and compliance by validating actions before execution, making it suitable for building robust agent-based AI systems. Distributed under the MIT license.
In the AI security & guardrails space, action-guardrail takes a focused approach. It focuses on ensuring safe and compliant execution of AI agent tool calls by evaluating policies before actions are taken. It is built as an open-source project for AI developers building agent-based systems. action-guardrail is open source under the MIT license. action-guardrail is available on the command line, and it can be self-hosted.
It is developed by Arya1718, and it first shipped in 2026. The project is developed in the open on GitHub with 10 commits in the last 90 days. Key capabilities include policy evaluation, agent tool calls, and safety checks.
Summary written by a language model from the project’s public pages.
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