概要
Multiple AI agents often struggle with coordination, leading to critical issues like race conditions, stale data, context drift, and conflicting edits. Agent Orchestration offers a robust solution by establishing a central hub for agent collaboration. It provides shared memory for agents to store and retrieve critical context, implements a turn-based task queue for ordered execution, enables agent discovery, and offers resource locking to prevent conflicts. By automating context synchronization and providing real-time status, it ensures AI agents work together efficiently and effectively on complex coding projects, enhancing productivity and consistency.
