prose

Automate multi-agent workflows by writing structured programs in the OpenProse language that define agent roles, data flow, and control logic. This eliminates manual intervention by managing execution sequences, parallel tasks, and error handling declaratively.

OpenProse is a declarative language used for creating and executing structured AI agent workflows. It manages agent definitions, session spawning, parallel execution, and state persistence to orchestrate complex interactions like recursive calls and conditional logic.

Yes, you can define parallel execution, conditional logic, and recursive calls for AI agents. The orchestration framework supports complex scenarios including automated error handling and agent memory management through a structured declarative syntax.

Orchestrate a code review by defining a reviewer agent, a critic agent, and a synthesizer agent in a structured program. The program instructs the reviewer to analyze code, the critic to find flaws, and the synthesizer to combine feedback into a final report.

Yes, the framework supports agent memory management and state persistence. It manages session spawning and maintains state across complex orchestration scenarios, allowing agents to retain context and handle recursive calls effectively.