With the rapid development of large language models (LLM) and AI agent technologies, AI is transforming from a tool for information analysis into a task execution system. OpenClaw, as an open framework for AI agents, employs a multi-layered architecture to integrate all stages: understanding, decision-making, and execution. This allows AI not only to answer questions but also to invoke tools, process data, and perform complex tasks.

In the OpenClaw architecture, user access, message exchange, task planning, model logic, and tool invocation are separated into different levels, enhancing automation and scalability of the system. Combined with memory search capabilities, execution modules, and prompt construction, OpenClaw supports a more comprehensive cycle of intelligent decision-making and execution.