multi-agent

Multi-agent coordination manages parallel exploration by defining specific agent roles like Lead, Scout, and Worker to decompose complex software tasks. It uses a Codex-native protocol to synchronize cross-agent messaging and route tasks efficiently.

Stigmergy-based messaging is a decentralized coordination mechanism where agents communicate indirectly through task metadata and pheromones. This swarm-inspired routing allows agents to dynamically adjust concurrency and avoid conflicts during execution.

Yes, the framework supports adaptive concurrency by dynamically scaling agent collaboration. It handles task dependencies and resolves execution blocking or conflicts using decentralized metadata routing instead of a central scheduler.

You should initialize the task by assigning a Lead agent to start the process and dispatching Scout agents for reconnaissance. This role-based lifecycle approach ensures structured task decomposition before assigning work to Soldier or Worker agents.

You need multi-agent orchestration when large-scale software projects require parallel exploration and complex task decomposition. It outperforms single agents by distributing work across specialized roles and synchronizing results via a unified protocol.