This hands-on tutorial builds an OpenHarness-style agent runtime from scratch, reconstructing core building blocks including tool execution, permission governance, lifecycle hooks, persistent memory, and context compaction. It implements a pluggable ‘brain’ layer supporting mock execution, real LLM providers (Anthropic/OpenAI), and nested subagent delegation, all under a unified control flow for multi-agent coordination.
