What problem does it solve?
Building multi-agent AI systems traditionally requires managing N separate LLM instances, inter-agent communication protocols, state management, deployment infrastructure, and glue code. ORPHEUS eliminates this complexity by structuring existing coding agent capabilities into composable skills, requiring no additional infrastructure.
Core Features & Use Cases
- Multi-Skill Orchestration: Decompose natural language requests into coordinated expert and worker skills with automatic dependency management and parallel execution.
- Zero-Infrastructure Execution: Runs entirely on the coding agent's native capabilities—tool access, subagent spawning, and filesystem I/O—no Docker, services, or Python glue code required.
- Provable Assurance: Built-in auditing and validation with evidence packages for deployment approval decisions, including claim matrices and renewal triggers.
- Use Case: A user describes "Build a content pipeline that researches topics, writes articles, reviews for accuracy, and publishes to my blog" and ORPHEUS generates a complete validated system with 4 experts, 5 workers, and a 4-stage sequential pipeline in 30 seconds.
Quick Start
Use the orpheus skill to build a new multi-skill pipeline by describing the automated workflow you want to create in plain language.