ToolJet/ActionRail

The execution safety layer for AI agents.

A measured tool-call firewall for AI agents: allow, ask or deny before the agent acts. Claude Code mod and hook, MCP proxy. Built on TypeSafe Jev, measured on real sessions with a blind second labeler.

Screens an AI agent's tool calls before they run and tool results before the agent reads them. An MCP proxy plus a hooks adapter for a client's built-in tools.

Approval workflows for AI agents

Your AI's guard dog. Doberman sits at runtime, gating every input, output and tool call to stop unsafe or unintended actions before they execute.

Observability and enforcement for AI agent harnesses. Capture every run and runtime reliability with policy enforcement.

AI agent guardrails for every builder. Local rules, a sandbox and a firewall for your agents, open source.

Runtime failure prevention for AI agents. Prevents predictable failures before they reach the execution layer

Open-source security gateway & static scanner for AI agents. Enforce role-based access control (RBAC), human-in-the-loop approvals, segregation of duties, and cryptographically signed, offline-verifiable audit logs.