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)

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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 = 3 , backoff = exponential ( base = 2 , max = 60 )) def agent_call ( params ): return llm .…