You Can Learn AI Agent Harness In Real Code In 20 Min | Loop Engineering, Memory, Eval, Open Source

Waku Agent serves as a local-first personal assistant designed to demonstrate the four essential pillars of agent systems: hardness, loop engineering, memory, and evaluation. By running entirely on a local machine, the system ensures user privacy while providing a robust framework for task automation, such as calendar management and web searching. The architecture incorporates three distinct memory layers—semantic for durable facts, procedural for behavioral skills, and episodic for dated events—to provide context-aware responses. An integrated agent harness manages tool execution and iterative loops, while automated tracing tools track token usage and performance metrics. Users can further customize the agent by modifying system prompts and adding new procedural skills, creating a highly adaptable and transparent AI system that operates without cloud-based dependencies.