128
+340
// summary
This project emphasizes that the core of an Agent is the model itself, rather than complex prompt engineering or workflow orchestration. Developers should focus on building a "Harness," which provides the model with the tools, knowledge, and context management required for perception, reasoning, and action. Through 12 progressive learning stages, developers can learn how to build efficient agent runtime environments, enabling the transition from simple loops to complex multi-agent collaboration.
// use cases
01
Build agent runtime environments that support tool calling, task planning, and context compression.
02
Achieve sub-task decomposition and multi-agent collaboration through modular design.
03
Enhance execution security for agents in complex business scenarios using workspace isolation and permission governance.