Show HN：ADK-Studio – 使用 Rust 建構 AI Agent 工作流程的視覺化建置工具
ADK-Studio 是一個新推出的開源、低程式碼的視覺化建置工具，用於建構 AI Agent 工作流程，並建立在 ADK-Rust 框架之上。它旨在提供一個原生 Rust 的替代方案，取代現有的 Python/JS 工具，讓 AI Agent 能夠以更快速、記憶體安全的 Rust 二進位檔進行生產部署。
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 studio
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.
Making AI Agents with ADK Studio is super simple:
- ADK-Studio install:
cargo install adk-studio - Start ADK Studio server:
adk-studio --port 6000 - Open in browser: open http://localhost:6000
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.
Project site: https://adk-rust.com
GitHub: https://github.com/zavora-ai/adk-rust
Best
James
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