How to Design an OpenHarness Style Agent Runtime with Tools, Memory, Permissions, Skills, and Multi-Agent Coordination

The article presents a tutorial on constructing an OpenHarness-style agent runtime, detailing the implementation of core components such as tool use, typed tool schemas, permissions, lifecycle hooks, memory management, skills, context compaction, retry logic, cost tracking, and multi-agent coordination. It emphasizes an open control flow, allowing practitioners to experiment with the system without reliance on external APIs or infrastructure. This approach provides valuable insights for AI engineers looking to build flexible and scalable agent systems.