orchestrate

Multi-agent workflow coordination is managed through five distinct phases: Discovery, Planning, Validation, Implementation, and Verification. The orchestrator guides the entire process, automatically managing agent interactions and phase transitions to complete feature implementation.

The multi-agent orchestration process is a structured development cycle that routes tasks through specialized AI agents. It ensures validated workflow execution by managing phase transitions and task execution automatically from initial discovery to final verification.

Automated workflow resumption is supported by persisting state and tracking progress using SurrealDB. If an issue occurs, the system retains tracking data, allowing you to check status and resume the multi-agent development cycle from where it left off.

SurrealDB is required for state persistence, tracking progress, and managing issues during the multi-agent workflow. It provides the necessary backing to ensure the orchestrator can monitor agent interactions and maintain task execution state across all phases.

Project setup and validation are handled sequentially before implementation begins. The workflow runs a Discovery phase to gather requirements, a Planning phase to structure tasks, and a Validation phase to review the plan, ensuring automated agent reviews occur prior to any code generation.

Multi-agent orchestration workflows are not suited for simple, single-step tasks that do not require structured phase transitions or agent interactions. If your project does not need automated validation, state persistence, or multi-phase coordination, a simpler automation approach is more efficient.