#286 · Primary category: AI Coding Assistants

failproofai

agent-failure agent-harness agent-observability agent-reliability agent-tracing ai-agent claude-code codex enforcement evals guardrails hermes hooks llm llm-failures llm-observability npm-package observability openclaw reliability

Observability and enforcement for AI agent harnesses. Capture every run and runtime reliability with policy enforcement. 40 built-in policies, a local dashboard, no account required with a generous free cloud plan

Project last updated:08/28/26

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14

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Other

Why we included this project

Teams running Claude Code, Codex, or similar agentic CLIs often discover a failed run only after it has burned tokens or made unwanted file changes. Failproof AI hooks into those CLIs as a local layer that watches the session and steps in when the agent starts looping or about to do something dangerous, and flags secret leaks before they become incidents. Because it runs locally with negligible latency, it doesn't add a round trip to a remote service, so it fits into daily workflows without slowing things down. It comes with built-in policies for common hazards like force-pushes and recursive deletes, and you can add your own policy files so the whole team inherits them. It's a practical guardrail for anyone who wants coding agents to work autonomously while keeping a safety net over what they can do.

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