Anti-Drift

Overview

Prevent agent swarms from drifting away from the original task goal through hierarchical coordination, frequent checkpoints, and shared memory validation.

When to Use

• Long-running multi-agent orchestrations
• Tasks with high risk of scope creep
• When multiple agents work on related subtasks
• Critical tasks where deviation is costly

Anti-Drift Mechanisms

1. Hierarchical Coordinator - Queen agent validates alignment at checkpoints
2. Frequent Checkpoints - Every 2 subtasks (configurable)
3. Shared Memory Coherence - Validate all agents see consistent state
4. Short Task Cycles - Bounded execution windows prevent runaway agents
5. Role Specialization - Agents stay within their assigned scope

Drift Scoring

• 0.0-0.1: Fully aligned, no intervention needed
• 0.1-0.3: Minor drift, automatic correction
• 0.3-0.5: Significant drift, checkpoint correction with logging
• 0.5+: Critical drift, human escalation via breakpoint

Agents Used

• agents/swarm-coordinator/ - Drift detection and correction
• agents/tactical-queen/ - Checkpoint enforcement
• agents/adaptive-queen/ - Real-time course correction

Tool Use

Invoke via babysitter process: methodologies/ruflo/ruflo-swarm-coordination