HackerNews中文版

大家好，我一直在致力于“精彩的人工智能应用”项目，探索并构建适用于任何使用大型语言模型（LLMs）和自主工作流的实用示例。最初，这只是我记录实验内容的一种方式，包括基本代理、RAG管道、MCPs以及一些多代理工作流，但现在已经发展成一个更大的集合。目前，它包含了25个以上的示例，涵盖不同的技术栈： - 启动代理模板 - 复杂的自主工作流 - 基于MCP的代理 - RAG示例 - 多种自主框架（如Langchain、OpenAI Agents SDK、Agno、CrewAI等）你可以在这里找到它们：https://github.com/arindam200/awesome-ai-apps 我还在尝试使用FireCrawl、Exa等工具，并测试多代理的新协调模式。老实说，我只是想把这些“简单的想法”转化为人们可以直接应用于实际应用程序的示例。现在我在思考接下来要构建什么。如果你有想法或者希望存在的用例，请在这里分享。很想听听其他人正在构建或遇到的问题。如果你正在做类似的项目，随时欢迎合作。

查看原文

Hey folks,I've been working on Awesome AI Apps, where I'm exploring and building practical examples for anyone working with LLMs and agentic workflows.It started as a way to document the stuff I was experimenting with, basic agents, RAG pipelines, MCPs, a few multi-agent workflows, but it’s kind of grown into a larger collection.Right now, it includes 25+ examples across different stacks:- Starter agent templates - Complex agentic workflows - MCP-powered agents - RAG examples - Multiple Agentic frameworks (like Langchain, OpenAI Agents SDK, Agno, CrewAI, and more...)You can find them here: https://github.com/arindam200/awesome-ai-appsI'm also playing with tools like FireCrawl, Exa, and testing new coordination patterns with multiple agents.Honestly, just trying to turn these “simple ideas” into examples that people can plug into real apps.Now I’m trying to figure out what to build next.If you’ve got a use case in mind or something you wish existed, please drop it here. Curious to hear what others are building or stuck on.Always down to collab if you're working on something similar.

请问HN：我应该构建什么样的代理？寻找创意。