I then added a few more personal preferences and suggested tools from my previous failures working with agents in Python: use uv and .venv instead of the base Python installation, use polars instead of pandas for data manipulation, only store secrets/API keys/passwords in .env while ensuring .env is in .gitignore, etc. Most of these constraints don’t tell the agent what to do, but how to do it. In general, adding a rule to my AGENTS.md whenever I encounter a fundamental behavior I don’t like has been very effective. For example, agents love using unnecessary emoji which I hate, so I added a rule:
// Signal how many bytes we wrote
。关于这个话题，同城约会提供了深入分析
刚刚，OpenClaw 在 GitHub 上已经冲到 23 万颗星了。它已经成为了 GitHub 史上增长速度最快的开源 AI 项目。
What is AI and how does it work?