持久提示和内置搜索
构建我一直想要使用的编辑器。
刚刚发布了我自定义的 Zed 编辑器的重大更新，重点是赋予 AI 代理真正的长期能力。
新功能包括：
- 持久记忆：代理现在使用 SQLite 来记住和回忆您项目的架构、模式和问题，跨会话保持一致。再也不用每天早上重复自己了。
- 无头网页浏览：集成了无头 Chrome 引擎。输入 /search，代理将浏览网页（甚至是 React 网站！）以直接在您的聊天面板中查找和综合答案。
- LSP 符号搜索：从正则表达式索引升级为真正的、类型感知的语言服务器集成。
- Azure Anthropic 和缓存：原生支持 Azure 端点，并默认启用令牌缓存 UI，节省大量费用，提示经过定制以增加提示缓存。
- 重要的是，完全控制代理的系统提示和工具调用。
它快速、功能强大，完全使用 Rust 构建。查看代码库以了解它的实际运行情况：https://lnkd.in/guC9td4M。已为 Mac 签名的二进制文件！
#Zed #Rust #AI #开发者生产力
查看原文
Building the editor I always wanted to use.<p>Just launched a major update to my custom fork of the Zed editor, focusing on giving the AI agent genuine, long-term capabilities.<p>What's new:
- Persistent Memory: The agent now uses SQLite to remember and recall your project's architecture, patterns, and issues across sessions. No more repeating yourself every morning.
- Headless Web Browsing: Integrated a headless Chrome engine. Type /search and the agent will browse the web (even React sites!) to find and synthesize answers directly in your chat panel.
- LSP Symbol Search: Upgraded from regex indexing to true, type-aware Language Server integration.
- Azure Anthropic & Caching: Natively supports Azure endpoints and enables token-caching UI by default., saves a lot $, prompts are customized to increase prompt caching.
- Importantly, complete control the agents system prompts and tool calls.<p>It’s fast, incredibly capable, and built entirely in Rust. Check out the repo to see it in action: https://lnkd.in/guC9td4M. Binaries notarized for mac!<p>#Zed #Rust #AI #DeveloperProductivity