cabin
该项目围绕「cabinpkg/cabin」构建,面向真实业务场景提供可复用的开源实践方案,支持稳定落地与可扩展的项目实践。
HYSEN LABS 项目目录
用精准分类、人工校验元数据和实用语境,系统整理值得关注的开源项目。
该项目围绕「cabinpkg/cabin」构建,面向真实业务场景提供可复用的开源实践方案,支持稳定落地与可扩展的项目实践。
A CLI written in Go language that writes git commit messages or do a code review brief for you using ChatGPT AI (gpt-4.1, gpt-4o model) and automatically installs a git prepare-commit-msg hook.
项目速览:P2P (UDP+TCP IPV4+IPV6) + .很有特色,P2P打洞(UDP+TCP、IPV4+IPV6)+服务器转发,实现远程联网和内网穿透。让您分散在世界各地的联网设备像在隔壁房间一样轻松访问。
A native macOS UI for Apple's platform
SteamOS-like ARM handheld distro
A beautiful, cross-platform downloader for YouTube, TikTok, Instagram, and 1800+ sites (yt-dlp GUI) with AI video summaries and post-processing
pyntcloud is a Python library for working with 3D point clouds.
CLI AI 编码代理的跨供应商消息传递,让 Claude Code、Codex、Gemini 和 Copilot 在一个团队中相互对话。 Bash + SQLite,无守护进程,无框架。
开源、可自托管的观看列表,包含您的所有内容(电影、电视剧、动漫、游戏),具有用户身份验证、现代、干净的用户界面和非常简单的设置。
An open-source project for Windows developers to learn how to add AI with local models and APIs to Windows apps.
HarnessRouter Community Edition: the self-hosted, Apache-2.0 edition of the unified interface for agent harnesses. Run Codex, Claude Code, Hermes, PI, DSH, and more through one API, with sessions, streaming, files, cancellation, and failure handling. Implements the Unified Harness Protocol (UHP), an open standard. Your keys, your infrastructure.
🎓Automatically Update CV Papers Daily using Github Actions
Traycer: Nerve Center for Agentic Coding
Burp Suite extension that adds built-in MCP tooling, AI-assisted analysis, privacy controls, passive and active scanning and more
一个开源、代码优先的工具包,用于构建、评估和部署具有灵活性和控制力的复杂人工智能代理。
Token-efficient MCP adapter for Pi coding agent
Lightweight, self-hosted, open-source chat server with voice, video, text, and screen sharing. Built for small groups who want privacy, simplicity, and full control over their data.
✨ AI-powered markdown editor - leverage LLMs with your documents - 100% local or in the cloud
OpenMMLab Foundational Library for Training Deep Learning Models
该项目围绕「live-codes/livecodes」构建,面向真实业务场景提供可复用的开源实践方案,支持稳定落地与可扩展的项目实践。