展示HN:ADK-Studio – 一个用于创建AI代理工作流的可视化构建工具,基于Rust语言。
嗨,HN,
我一直在开发 ADK-Rust,这是一个用于在 Rust 中构建和部署 AI 代理的开源框架。
我的动机来自于构建代理系统,在这些系统中,性能、安全性和可预测的行为比快速原型更为重要。目前大多数代理框架和工作流工具都是以 Python 或 JS 为主,并且在投入生产时往往运行时开销较大。
最近,我添加了 ADK-Studio——一个基于 ADK-Rust 的可视化低代码环境,用于构建 AI 代理工作流。
你可以将 ADK-Studio 视为 Rust 原生的 n8n 等工具的替代品,但专注于 AI 代理:
- 可视化的拖放工作流设计(顺序、并行、循环、路由代理)
- 工具集成(函数、MCP 服务器、浏览器自动化、搜索)
- 实时执行,支持 SSE 流和事件追踪
- 代码生成:可视化工作流编译为生产用的 Rust 代码
- 从工作室直接构建和运行代理作为本地可执行文件
我们的目标是让人们以可视化的方式原型化代理工作流,然后将其快速打包为内存安全的 Rust 二进制文件,而不是长时间运行的 JS/Python 服务。
使用 ADK Studio 创建 AI 代理非常简单:
1. 安装 ADK-Studio: `cargo install adk-studio`
2. 启动 ADK Studio 服务器: `adk-studio --port 6000`
3. 在浏览器中打开: 访问 http://localhost:6000
我非常希望能收到正在构建代理系统、工作流引擎或 AI 推理基础设施的朋友们的反馈,尤其是关于与现有工具(如 n8n)之间的设计权衡。
项目网站: [https://adk-rust.com](https://adk-rust.com)
GitHub: [https://github.com/zavora-ai/adk-rust](https://github.com/zavora-ai/adk-rust)
祝好,
James
查看原文
Hi HN,<p>I’ve been working on ADK-Rust, an open-source framework for building and deploying AI agents in Rust.<p>The motivation came from building agent systems where performance, safety, and predictable behavior mattered more than rapid prototyping. Most agent frameworks and workflow tools today are Python- or JS-first and tend to be runtime-heavy when taken to production.<p>Recently, I added ADK-Studio — a visual, low-code environment for building AI agent workflows on top of ADK-Rust.<p>You can think of ADK-Studio as a Rust-native alternative to tools like n8n, but focused specifically on AI agents:
- Visual, drag-and-drop workflow design (sequential, parallel, loop, router agents)
- Tool integration (functions, MCP servers, browser automation, search)
- Real-time execution with SSE streaming and event traces
- Code generation: visual workflows compile down to production Rust code
- Build and run agents as native executables directly from the studio<p>The goal is to let people prototype agent workflows visually, then ship them as fast, memory-safe Rust binaries instead of long-running JS/Python services.<p>Making AI Agents with ADK Studio is super simple:<p>1. ADK-Studio install: `cargo install adk-studio`
2. Start ADK Studio server: `adk-studio --port 6000`
3. Open in browser: open http://localhost:6000<p>I would really appreciate feedback from folks building agent systems, workflow engines, or AI inference infrastructure — especially around design tradeoffs vs existing tools like n8n.<p>Project site: <a href="https://adk-rust.com" rel="nofollow">https://adk-rust.com</a>
GitHub: <a href="https://github.com/zavora-ai/adk-rust" rel="nofollow">https://github.com/zavora-ai/adk-rust</a><p>Best
James