awesome-agent-failures
github.com/vectara/awesome-agent-failures βA community curated collection of AI agent failure modes and battle-tested solutions.
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 βWhat's inside
πΈ 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Amazon Q gave engineers guidance from an outdated wiki, causing four high-severity incidents in one week, 6.3M lost orders, and a six-hour customer-facing outage.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 Codeβbased extraction tool that fabricated quotes attributed to engineer Scott Shambaugh; article retracted, called "a serious failure of our standards."
π 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.
π₯ Community
- Join DiscussionsGet Involved
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Showing a sample of 78 resources. View the full list on GitHub β