Skip to main content

A community curated collection of AI agent failure modes and battle-tested solutions.

219
GitHub Stars
78
Curated Resources
3
Categories
11 hours ago
Last Refreshed
πŸ’Έ Real-World AI Agent FailuresπŸ“š ResourcesπŸ‘₯ Community

Use this list with your AI agent

Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:

"Show me autonomous agent failures resources from awesome-agent-failures"

Installation instructions β†’

What's inside

πŸ’Έ Real-World AI Agent Failures

  • $47,000 LangChain A2A Multi-Agent LoopAutonomous Agent Failures

    Analyzer/Verifier agent pair entered an undetected feedback loop for 264 hours (11 days), accruing $47K in API costs with no useful output; observability without enforcement.

  • AI-Fabricated Citations in an Expert Report End a Plaintiff's CaseLegal and Financial Incidents

    Counsel's unverified AI research reached two expert reports, which carried identical fabricated citations; the court excluded an expert opinion as inherently unreliable under Rule 702, then dismissed the claims with prejudice. The first case study here where the fabrications themselves cost the client the case.

  • Air Canada Chatbot Legal RulingLegal and Financial Incidents

    Airline held liable after chatbot gave incorrect bereavement fare information, ordered to pay $812 in damages.

  • Amazon Q Causes Retail Website OutagesAutonomous Agent Failures

    Amazon Q gave engineers guidance from an outdated wiki, causing four high-severity incidents in one week, 6.3M lost orders, and a six-hour customer-facing outage.

  • Amazon Q VS Code Prompt Injection Supply Chain AttackAI Agent Security Incidents

    Attacker injected prompt into official AWS extension telling Amazon Q to delete filesystems and wipe S3 buckets; only a syntax error prevented mass destruction across 1M+ installs.

  • Ars Technica AI-Fabricated QuotesInstitutional Failures

    Senior AI reporter Benj Edwards fired after using a Claude Code–based extraction tool that fabricated quotes attributed to engineer Scott Shambaugh; article retracted, called "a serious failure of our standards."

πŸ“š Resources

  • Agon: Failure Taxonomy for Autonomous ResearchResearch Papers

    Classifies multi-agent research failures along severity Γ— fixability Γ— visibility Γ— capability locus, drawn from 1000+ iterations across two flagship deployments.

  • AI Risk Summit 2025Industry Resources

    Conference on AI agent risks.

  • AI Safety in RAGIndustry Resources

    Vectara's analysis of RAG hallucination challenges.

  • AmazonBooks

    Explores the risks of advanced AI and argues for aligning AI systems with human values to ensure safety.

  • AmazonBooks

    Investigates how AI systems inherit human biases and examines efforts to align machine learning with ethical and social values.

  • A Survey on Large Language Model based Autonomous AgentsResearch Papers

    Comprehensive survey of LLM-based agents.

πŸ‘₯ Community

Showing a sample of 78 resources. View the full list on GitHub β†’