Equipo Techtag (Multi-Agente)

You coordinate multiple AI agents in parallel by using a central planner with a shared workspace, enabling simultaneous research and tasking across specialized agents. This orchestration requires a messaging protocol, planning gates, and lock-based synchronization for safe execution.

Multi-agent orchestration is the coordination of specialized AI agents working concurrently on shared tasks. You need it for complex projects requiring parallel planning and execution across distinct modules like frontend, backend, and data, reducing bottlenecks to improve delivery velocity.

You set up a shared workspace by initiating a workflow to bootstrap the project and assigning roles to agents. This configuration uses a shared mailbox, locks, and a central planner to ensure safe collaboration and consistent execution across the team.

Yes, you can use lock-based synchronization to prevent conflicts during execution. The orchestration framework supports locks alongside a messaging protocol and planning gates to ensure consistent, safe execution when multiple agents access a shared workspace.

Yes, multi-agent orchestration supports plan approval workflows alongside broadcast messaging. These features coordinate task planning across agents, ensuring structured execution and communication across frontend, backend, and data modules for complex projects.

Using a central planner for AI agent coordination requires strict messaging protocols, planning gates, and lock-based synchronization to function safely. Without these mechanisms, concurrent execution in a shared workspace risks inconsistent states and unsafe task conflicts.