Project / Building
OpenClaw Agent
A local AI Agent practice project for understanding tool use, planning, permission boundaries, and retry behavior.
Problem
Many AI Agent demos look impressive, but real usage quickly runs into permission control, context management, tool choice, and failure recovery.
Core Idea
Using LangChain / ReAct patterns, the agent should understand a task, choose tools, execute actions, and leave a traceable path when something fails.
Stack
Status
Building. The goal is not a flashy demo, but a clearer understanding of which parts of agent engineering are controllable and where human boundaries are needed.