A unified AI model hub for aggregation & distribution. It supports cross-converting various LLMs into OpenAI-compatible, Claude-compatible, or Gemini-compatible formats. A centralized gateway for p…

LLM API 管理 & 分发系统，支持 OpenAI、Azure、Anthropic Claude、Google Gemini、DeepSeek、字节豆包、ChatGLM、文心一言、讯飞星火、通义千问、360 智脑、腾讯混元等主流模型，统一 API 适配，可用于 key 管理与二次分发。单可执行文件，提供 Docker 镜像，一键部署，开箱即用。LLM API management & k…

Obsidian 🤝 Quartz. Quartz-compatible Obsidian themes.

[ICML-2026] Official implementation of "SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience"

StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing

无线网络安全测试工具，支持测试WPA/WPA2/WPA3、多开并发、自动化测试连接，需自定义密码本

Create Minecraft bots with a powerful, stable, and high level JavaScript API.

MineRL Competition for Sample Efficient Reinforcement Learning - Python Package

Repository of useful 'stuff' for the MineRL BASALT Challenge

AI Agent Simulation generates Minecraft Settlements

[CVPR 2025] Official Implementation for Optimus-2: Multimodal Minecraft Agent with Goal-Observation-Action Conditioned Policy

Simple and easily configurable grid world environments for reinforcement learning

A technical and progressive review of self-improvement of LLMs for the future.

Building Open-Ended Embodied Agents with Internet-Scale Knowledge

Autonomous coding agent as an SDK, IDE extension, or CLI assistant.

国内主流 AI 平台的 Coding Plan对比，智谱、Kimi、MiniMax、阿里云百炼、字节火山方舟、百度千帆

Cosmos-Predict2.5, the latest version of the Cosmos World Foundation Models (WFMs) family, specialized for simulating and predicting the future state of the world in the form of video.

Mastering Diverse Domains through World Models

Building Open LLM Web Agents with Self-Evolving Online Curriculum RL

NVIDIA Isaac Sim™ is an open-source application on NVIDIA Omniverse for developing, simulating, and testing AI-driven robots in realistic virtual environments.

An Open-source Framework for Data-centric, Self-evolving Autonomous Language Agents

[ICML 2026] RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments

Optimize prompts, code, and more with AI-powered Reflective Optimization

This is AI implementation (not official) of the DreamGym framework from the paper "Scaling Agent Learning via Experience Synthesis" (arXiv:2511.03773).

Darwin Gödel Machine: Open-Ended Evolution of Self-Improving Agents