ActionRail is an open-source runtime enforcement layer for AI agents developed by ToolJet. It intercepts proposed tool calls from agents, verifies them against deterministic rules and live data from systems of record such as databases or APIs, and then decides to allow, hold for review, or block the action. This prevents unsafe or incorrect operations before they execute. It works with any Python application and integrates with frameworks like LangGraph.
ActionRail is a LLM eval & observability product. It focuses on preventing incorrect or unauthorized AI agent actions from executing against production systems. ActionRail is an open-source project aimed at developers. The project is open source (Apache-2.0). It runs on the web and the command line, and it can be self-hosted.
It is developed by ToolJet, and the product first shipped in 2026. The project is developed in the open on GitHub with 24 stars and 279 commits in the last 90 days. Among its 5 catalogued features are action grounding, policy enforcement, and live data verification. It exposes integrations via a public API. ActionRail is currently in beta.
Latest indexed changes and source events
A value-poisoning benchmark for consequential agent actions verified by the PulseGate indexer
Other apps tracked under the same category.