Metis: Bridging Text and Code Memory for Self-Evolving Agents

Metis is a self-evolving agent system that utilizes a hierarchical dual-representation memory to bridge text and code memory, allowing for improved experience reuse. A controlled study reveals that text and code representations offer complementary benefits, leading to Metis's architecture that organizes experiences into execution plans and callable tools. Evaluated on the AppWorld benchmark, Metis demonstrates up to 20.6% improvement in task accuracy and 22.8% reduction in execution costs compared to the ReAct system, highlighting its efficiency and effectiveness for practitioners developing interactive agents.