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Hi HN，我一直在开发 ADK-Rust，这是一个用于在 Rust 中构建和部署 AI 智能体的开源框架。这个项目的动机来自于构建对性能、安全性以及可预测行为有更高要求的智能体系统，而不是快速原型开发。如今，大多数智能体框架和工作流工具都优先考虑 Python 或 JS，并且在投入生产时往往会占用大量运行时资源。最近，我添加了 ADK-Studio — 一个可视化的低代码环境，用于在 ADK-Rust 之上构建 AI 智能体工作流。你可以将 ADK-Studio 视为 n8n 等工具的 Rust 原生替代方案，但它专门针对 AI 智能体： * 可视化、拖放式工作流设计（顺序、并行、循环、路由器智能体） * 工具集成（函数、MCP 服务器、浏览器自动化、搜索） * 通过 SSE 流和事件跟踪进行实时执行 * 代码生成：可视化工作流编译成生产 Rust 代码 * 直接从 Studio 构建并运行智能体作为原生可执行文件目标是让人们能够以可视化的方式原型设计智能体工作流，然后将它们作为快速、内存安全的 Rust 二进制文件交付，而不是长时间运行的 JS/Python 服务。使用 ADK Studio 构建 AI 智能体非常简单： 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：打开 http://localhost:6000 我非常感谢构建智能体系统、工作流引擎或 AI 推理基础设施的人们的反馈——特别是关于设计权衡与 n8n 等现有工具的比较。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) 此致， James

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Hi HN,I’ve been working on ADK-Rust, an open-source framework for building and deploying AI agents in Rust.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.Recently, I added ADK-Studio — a visual, low-code environment for building AI agent workflows on top of ADK-Rust.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 studioThe 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.Making AI Agents with ADK Studio is super simple:1. ADK-Studio install: `cargo install adk-studio` 2. Start ADK Studio server: `adk-studio --port 6000` 3. Open in browser: open http://localhost:6000I would really appreciate feedback from folks building agent systems, workflow engines, or AI inference infrastructure — especially around design tradeoffs vs existing tools like n8n.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>Best James

Show HN: ADK-Studio – 用 Rust 构建 AI 智能体工作流的视觉化构建工具