Multiple Agents
AI Agent Reliability Report
Failure Modes
Root Causes
Frequently Asked Questions
Is Multiple Agents reliable?
Based on 5 documented incidents, Multiple Agents has an average failure severity of 4.8/10. 1 incidents were rated critical and 0 were rated high severity. Common failure modes include other.
What are the most common Multiple Agents failures?
The most frequently documented Multiple Agents failure modes are: other (2 incidents), infinite loop (1 incidents), logic error (1 incidents). These failures range from critical to high severity.
How many Multiple Agents AI failures have been documented?
StupidLLM has documented 5 Multiple Agents AI agent failures. Each incident is severity-scored on a 0-10 scale, verified against source evidence, and categorized by failure mode and root cause.
All Multiple Agents Incidents
Scan of 5,600 vibe-coded apps found 2,000+ high-impact vulns, 400+ exposed secrets, PII leaks
In October 2025, API security firm Escape scanned 5,600 publicly available 'vibe-coded' applications — apps built primarily by prompting AI agents. The scan found more than 2,000 h
The quiet correctness tax: 43% of AI code changes need production debugging, with up to 75% more logic errors
Beyond the dramatic single deletions, the most pervasive AI-agent failure is quiet: subtle logic errors that pass review and surface later as production incidents. A 2025–2026 Vent
Two AI agents ping-ponged for 11 days and ran up a $47,000 bill — neither noticed anything wrong
A research pipeline built from two cooperating AI agents — an Analyzer and a Verifier — ping-ponged requests at each other for 11 days, generating a $47,000 bill. The failure was s
Cyera study: 344 verified enterprise agent-damage cases, 188 with no attacker involved
A Cyera research study put numbers to the 'agent-inflicted damage' problem enterprises rarely track. Analyzing more than 7,200 publicly reported AI-security and operational inciden
The runaway-cost pattern, quantified: agentic coding tools burn 10-100x more tokens and can rival developer pay
The specific runaway-cost incidents — a $47,000 agent loop, a $6,531 AWS retry loop, Uber exhausting its annual budget in four months — are instances of a structural pattern now qu