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Orpheus Hero Orpheus is a specialized cognitive runtime engineered to provide long-term persistence, coordination, and governance for autonomous AI agents. Unlike traditional serverless functions or container orchestrators, it utilizes a three-layer architecture, coordination through workers, execution via lightweight runc containers, and persistence through dedicated workspaces. The system optimizes for time and continuity rather than just latency, using queue-depth autoscaling to manage I/O-bound workloads that typically idle while waiting for LLM responses. And the ServiceManager and Registry enable seamless integration with local inference engines like Ollama and vLLM, providing a platform-agnostic environment for complex reasoning systems. With an actor model to eliminate race conditions and an ExecLog system for crash recovery and auditability.

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When to Use Orpheus

  • AI agents that run for minutes (not milliseconds)
  • Conversational agents that need context
  • Agents that create or modify files
  • Workflows that shouldn’t lose state on restart

Quick Start

Deploy in 2 minutes

First Guide

Step-by-step walkthrough