What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
DeerFlow 是一个社区驱动的深度研究框架,将语言模型与网络搜索、爬虫和 Python 执行等工具结合使用
Make Any Website & Tool Your CLI. A universal CLI Hub and AI-native runtime. Transform any website, Electron app, or local binary into a standardized command-line interface. Built for AI Agents to discover, learn, and execute tools seamlessly via a unified AGENT.md integration.
Open Multi-Agent Interactive Classroom — Get an immersive, multi-agent learning experience in just one click
从 @anthropic-ai/claude-code npm 包的 cli.js.map 中还原出的完整 TypeScript 源码,可一键本地编译运行。
An AI agent development platform with all-in-one visual tools, simplifying agent creation, debugging, and deployment like never before. Coze your way to AI Agent creation.
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
A curated list of academic papers and resources on Physical AI — focusing on Vision-Language-Action (VLA) models, world models, embodied ai, and robotic foundation models.
你的私人 AI 助手。全系统兼容,全平台覆盖。这就是 OpenClaw 之道。🦞