AgentPostmortem: A Public Registry of AI Agent Failures

Description and use

AgentPostmortem is a public registry of AI agent failures, enabling documentation, search, and analysis of real incidents to prevent repeats.

Problem

AI agents with write access cause real harm, but failures are undocumented and repeat.

Outcome

AgentPostmortem creates a structured, moderated, and searchable record of AI agent failures, enabling teams to learn from past incidents and prevent repeats.

Workflow

• 1. Submit a failure case via the web form, providing agent, title, prompt, outcome, damage level, cost, tags, and optional evidence. 2. The submission is hashed for rate limiting, PII redacted, and stored with a pending status. 3. A moderator reviews the case for coherence, relevance, and abuse. 4. Upon approval, the case receives a sequential APM identifier and is published to the public feed. 5. Users browse, search, and vote on cases; data can be exported as CSV for further analysis.

Evidence

AgentPostmortem is that record. It is a community-driven database of incidents where an AI agent caused real harm.

Source

The stack is deliberately boring so the data outlives any hype cycle.

Source