Original Summary

I have been working on search systems for a while, and I always wondered: What if search, instead of matching documents, matched workflows and ran those workflows?<p>I called it “Search that executes” — as opposed to search that retrieves information.<p>When AI agents showed up a few years ago, I realized that those workflows could be agents — capable of understanding a user’s query and taking branches dynamically. That’s when I got excited enough about the idea to implement it.<p>To make this work, it needs more than just search: a structured framework for defining agents (so the system “understands”), a controlled runtime for executing them with guardrails, and an end-to-end system with a UI to request and receive user approval before taking critical actions.<p>It made sense that all this plumbing should be handled behind the scenes, letting programmers concentrate on the agent’s business logic. Many design decisions followed directly from that.<p>Agents are created in a JSON structure. There are 23 “commands” that define the units of work an agent performs. Python expressions can be used in strings within curly braces.<p>Because the whole thing has a structure&#x2F;schema, AI generates valid agents from English descriptions: “Create a RAG agent to call the company purchase order system”, “Create a tool-calling agent to …”. You can check this out in the live demo on the website.<p>The developer creates an agent, describes it in plain English, and publishes it in the system. Users just submit a request. Search matches the request to an agent, and the system runs the agent. The demo also shows searching for and executing agents.<p>That’s the central idea. The website has more information on other aspects. Despite the enterprise-y look and feel of the website, the system was really created by just me over the last couple of years. I would love to answer any questions and hear your comments and feedback.

  • 情报分类：技术学习与提效
  • 分类依据：内容涉及技术、AI、软件工具或工程实践
  • 信息来源：Hacker News 新项目
  • 发布时间：2026/9/29 20:39:51