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Documentation (Architecture)

Detecting & Preventing Execution Loops in Autonomous Multi-Agent Swarms

An authoritative 2,000+ word engineering guide on state graph cycle detection, token budget enforcement, and fallback recovery mechanisms for multi-agent autonomous swarms.

An authoritative 2,000+ word engineering guide on state graph cycle detection, token budget enforcement, and fallback recovery mechanisms for multi-agent autonomous swarms.

1. Root Causes of Multi-Agent Infinite Loops

Autonomous agents fail into infinite execution loops when state transitions between Agent A and Agent B fail to converge on a terminal stopping condition. Common triggers include ambiguous tool outputs, non-deterministic model retries, and circular delegation.

2. Implementing a State Graph Cycle Guard in Python

Track tool call hashes in a sliding window memory queue to detect repeated state transitions deterministically.

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