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Architecture

Multi-Agent Failure Modes

A Practical Guide to Context, Tools, Dependencies, and Evaluation

By

Tenten AI FDE Team

Systems Architecture

Published

Updated

Read time

7 min

multi-agentLangGraphproductioncoordinationobservability
Multi-Agent Failure Modes

Abstract

Multi-agent workflows can lose context, repeat tool actions, wait on unresolved dependencies or drift from the task. This guide covers four practical checks using illustrative scenarios.

The discussion draws on Cognition’s June 2025 argument, its April 2026 update, and MAST research, version 3. These sources inform the design guidance; the four checks are not an exhaustive failure taxonomy.

The target reader is a senior engineer or technical lead who has built or is building a multi-agent system and wants to understand what can go wrong before it goes wrong in production.

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