Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
Implement a reasoning LLM in PyTorch from scratch, step by step
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?
🛠️ Awesome tools & guides for harness engineering.
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.