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:
有下列情形之一的，处十日以上十五日以下拘留，并处一千元以上二千元以下罚款：
，更多细节参见safew官方版本下载
（三）及时向公安机关、网信部门报告重大威胁情报和程序样本。
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指的是具有物理载体的智能体（比如人形机器人），与“离身智能”（比如DeepSeek）相对。具身智能进入了2025年政府工作报告，与生物制造、量子科技、6G一起被列为需要重点培育的未来产业。具身智能的走红，标志着人工智能的发展进入了一个新阶段，也让人们对AI融入现实生活的未来，有了更真切的想象。