Awesome Auditable Ai

Awesome Auditable AI [](https://awesome.re)

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[!NOTE] **Auditability** is the goal: being able to establish what an agent did, what it relied on, why it acted, and whether the action was right. **Reliability engineering** is how a system gets there. An agent that behaves inconsistently, loses its trace under stress, or cannot attribute a failure to a step is one that cannot be audited afterwards, whatever records it keeps. This list therefore covers both: monitoring, robustness, fault tolerance, and failure attribution alongside decision records, accountability, and post-hoc review.

Maintained by the author of `auditable` and GRADE, two components of [The Auditable Agents Ecosystem](#the-auditable-agents-ecosystem). Every component is also listed in the topical section it belongs to, under the same inclusion bar as every other entry.

**Agent capability is rising much faster than agent reliability.** *Towards a Science of AI Agent Reliability* (ICML 2026) decomposes reliability into twelve metrics over fifteen models and finds that recent capability gains produced only small reliability gains. The cost of that gap shows up after a run rather than during it: in the original Who&When study (ICML 2025), the str