Open-Source Multi-Agent Orchestration: Lessons from AgentForge

We built AgentForge to solve our own problem with multi-agent deployment. In multi-agent systems, failure modes multiply, so it's crucial to design orchestration around 'what breaks' first. To achieve this, we implemented per-agent execution traces and a strategy to manage unbounded conversation history. Our approach resulted in a 60% cost reduction. Key takeaways include using Python 3.11+, Pydantic, AsyncIO, and SQLite/Redis for state persistence.