FailproofAI/failproofai
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 observed · 2026-08-28
Health v2 · maintenance only
81/100
- Activity 99
- Release rhythm 98
- Longevity 10
Flags: young no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 0.0
- age_days: 150
- days_rel: 14
- days_push: 7
- n_releases_24m: 27
Adoption not part of the score
1508 stars · 404 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Failproof AI is an open-source observability and enforcement layer for AI agent harnesses like Claude Code, Codex, Hermes, and OpenClaw, capturing every run and blocking dangerous tool calls in real time via hooks and a sub-millisecond Rust daemon. It ships as an npm CLI with a local dashboard, 40 built-in policies, a Python SDK for custom agents, and an optional cloud plan for teams.
Use cases
- observe and trace every AI agent run, tool call, and model call
- block dangerous tool calls like rm -rf or force pushes before they execute
- detect agent failure modes like infinite loops, hallucinated tools, and context drift
- audit agent sessions and cluster recurring failures into ranked issues
- add guardrails and policy enforcement to coding CLIs and chat gateways
- run agent reliability monitoring locally with no account
- add observability to unattended agents running behind chat gateways or cron
When to choose
- you run agents in supported harnesses (Claude Code, Codex, Cursor, Gemini CLI, Hermes, OpenClaw, etc.) and need runtime enforcement, not just logging
- you want local-first tracing and auditing with a free tier and no account required
- you need fail-closed policy enforcement with sub-millisecond latency in the tool-call path
When to avoid
- your agent runs in an unsupported runtime and you need enforcement, not just SDK-based tracing
- you need a fully permissive MIT license for commercial redistribution (it is MIT + Commons Clause)
- you need Windows support today (setup supports Linux and macOS only)
Facets
cli-tool · maturity active
monitoring tracing alerting logging security cli agent-framework analytics large-language-models developer-tools monitoring security cli self-hosted cloud agent-observability policy-enforcement guardrails claude-code codex agent-harness llm-observability evals rust-daemon fail-closed ai-agents automation linux macos nodejs docker
6 sources
- readme: https://github.com/FailproofAI/failproofai · fetched 2026-08-28 · 4a5792e45f52
- homepage: https://befailproof.ai · fetched 2026-08-29 · df0d411b4289
- site_page: https://docs.befailproof.ai · fetched 2026-08-29 · 89782fee610e
- site_page: https://befailproof.ai/pricing · fetched 2026-08-29 · 50c684634ca9
- site_page: https://befailproof.ai/blog/add-observability-to-hermes-agent · fetched 2026-08-29 · aedb9865c107
- site_page: https://befailproof.ai/blog/sub-millisecond-agent-enforcement · fetched 2026-08-29 · 173b66b8abb1
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| FailproofAI/failproofai | main | 81 |
For agents
markdown · JSON · MCP: product_card(name="FailproofAI/failproofai")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem