Most multi-agent demos look impressive on stage. Then they hit production and fall apart.

Here's the pattern: agents that "worked" in a Jupyter notebook start conflicting, retrying infinitely, or silently failing when other agents are involved.

The root cause isn't the LLM. It's the orchestration layer.

What Actually Breaks

No structured handoffs — Agents pass messages as raw strings. Context gets lost. Intent gets misread.

No retry strategy — When one agent fails, the whole chain stops or enters an infinite loop.

No observability — You can't see which agent failed, why , and what state it was in.

What We Built Instead

AgentForge is an open-source orchestration platform with three non-negotiables:

✅ Structured JSON inter-agent protocol — No ambiguous handoffs

✅ Automatic retry with exponential backoff + circuit breaker — Graceful degradation

✅ Real-time execution trace — Every agent call, parameter, and response is logged

A Real Example

We run a daily investment analysis pipeline with 5…