orchestrate

To coordinate a multi-agent workflow, you need a system for task decomposition, routing, and structured handoffs. This ensures specialist agents receive isolated context and synthesized outputs for complex, multi-step requests.

Multi-agent orchestration is the process of planning and delegating sub-tasks to specialized agents. It manages memory, issue tracking, and structured prompts to enforce an output contract and ensure traceability across parallel work streams.

You need structured handoffs and memory management for non-trivial tasks requiring specialist input, such as codebase changes or research. These mechanisms ensure accountability and context isolation when coordinating multiple agents across sessions.

Yes, multi-agent orchestration is suitable for product or project work requiring parallel work streams and senior review. It coordinates task briefing, delegation, and synthesis to achieve complex goals with strict output contracts.

The best way to manage issues and context isolation is to enforce a disciplined handoff process with structured prompts. This prevents context bleed and maintains accountability when routing tasks among various specialist agents.

No, this orchestration approach operates without external dependencies. It uses internal references to plan, delegate, and synthesize outputs, relying entirely on structured prompts and memory management to coordinate the workflow.