📄 中文摘要
构建隐私优先的本地 AI 代理的基础知识，强调在本地硬件上运行，消除对云服务的依赖和重复费用。指南涵盖了 Ollama 的设置、LangGraph 的使用、安全性考虑以及生产部署的最佳实践。通过这些步骤，用户可以创建自给自足的 AI 代理，确保数据隐私和安全性，同时提升系统的性能和可靠性。
如何构建本地 AI 代理：隐私优先实施的逐步指南
📄 English Summary
How to Build Local AI Agents: A Step-by-Step Guide to Privacy-First Implementation
The guide focuses on the fundamentals of building privacy-first local AI agents that operate entirely on personal hardware, removing dependencies on cloud services and recurring costs. It covers the setup of Ollama, the use of LangGraph, security considerations, and best practices for production deployment. By following these steps, users can create self-sufficient AI agents that ensure data privacy and security while enhancing system performance and reliability.