Automatic Error Recovery in AI Agent Networks

In a single-agent system, failure is simple: the agent errors, you retry. In multi-agent systems, failure is a graph problem. The Cascade Failure Problem Agent A: ✅ Success Agent B: ❌ Timeout (depends on A) Agent C: ❌ Skipped (depends on B) Agent D: ❌ Partial data (depends on C) One timeout propagates through the entire pipeline. Without recovery, your system is fragile. Our Recovery Strategy AgentForge implements 3 recovery layers: Layer 1: Retry with Exponential Backoff @retry ( max_attempts =