FailproofAI is an observability and enforcement platform for AI agent harnesses that captures every run and blocks dangerous tool calls before execution. The tool addresses the challenge of monitoring and controlling AI agents across diverse deployment environments by providing a unified policy enforcement layer. It hooks into twelve different agent harnesses—including coding CLIs like Claude Code and Codex, and chat gateways like Hermes and OpenClaw—to intercept and evaluate tool calls against a shared set of policies. The platform runs locally with zero latency, applying thirty-nine built-in policies to enforce safety constraints across all connected harnesses.
Developers should adopt this tool if they run AI agents across multiple harnesses and need consistent safety enforcement without adding latency to their systems. The unified policy API and session history work across all supported harnesses, though the specific enforcement capabilities vary by harness type: tool call blocking is verified on all twelve harnesses, while turn-end gates function on eight. For agents running outside the twelve supported harnesses, the Python SDK provides tracing, sessions, and audits, though enforcement in custom runtimes requires integration work.
The project maintains active development with regular updates to its documentation and codebase. The tool is distributed as an npm package and supports multiple languages through translated documentation. The maintainers actively engage with users through support channels for custom integration scenarios.
