prose

You can orchestrate multi-agent workflows by writing declarative programs that define agent behavior, execution flow, and state management. This enables sequential, parallel, and conditional execution of complex AI automation tasks.

A declarative programming language for AI agent orchestration lets you define structured workflows specifying how multiple agents execute. It replaces simple prompts with repeatable programs managing agent behavior and context.

Yes, you can define structured workflows that support sequential, parallel, and conditional execution paths for AI tasks. This allows complex automation scenarios where multiple agents operate concurrently or based on specific conditions.

State and context are managed between agents using file-based or in-context methods. This persists data and passes necessary information across sequential steps within your multi-agent automation workflow.

Yes, executing multi-agent orchestration scripts requires a Prose Complete system capable of spawning subagents and managing context. This underlying environment handles the actual agent execution and state persistence.

Use declarative programs instead of simple prompts when you need robust, repeatable AI processes involving multiple agents. They are essential for complex automation scenarios requiring structured execution flow and persistent state management.