I've been working on Maia, an open-source testing framework specifically designed for multi-AI agent systems. With AI deployments becoming more complex and interconnected, traditional testing approaches often fall short when dealing with agent interactions, emergent behaviors, and system-wide reliability. Maia addresses this by providing: - Multi-agent interaction testing - Behavior validation across agent sessions - Assertions of messages - External tools testing - Dashboard for visualization and debugging

The framework is designed to catch issues before they reach production - things like agent coordination failures, unexpected emergent behaviors, or performance bottlenecks that only appear when multiple AI components interact. Would love to get feedback from the HN community, especially from folks dealing with similar challenges in production AI systems. Github: https://github.com/radoslaw-sz/maia