clawd-on-desk
專案速覽:一個像素桌面寵物,可以監視 Claude Code、Codex、Cursor 和其他 AI 編碼代理,因此您無需這樣做。
HYSEN LABS 專案目錄
以精準分類、人工校驗資料與實用脈絡整理值得關注的開源專案。
專案速覽:一個像素桌面寵物,可以監視 Claude Code、Codex、Cursor 和其他 AI 編碼代理,因此您無需這樣做。
n8n skillset for Claude Code to build flawless n8n workflows
專案速覽:用於 AI 代理的自託管控制平面:調度任務、審查運行、追蹤支出以及操作 OpenClaw、Claude Code、Codex 和其他運行時。
Your browser is the API. CLI + MCP server for AI agents to control Chrome with your login state.
Run AI agents on real and isolated machines — own kernel, filesystem, and network — with <100ms boot. Local first, OCI compatible, pure Rust.
Copy/paste detector for source code. 220+ languages, Rust engine, SARIF/HTML/badge reporters, GitHub Action, MCP server for AI agents.
Unified real-time search engine skill for AI agents. Supports general web search, vertical domain search, parallel batch search, and full-page content extraction.
BibiGPT v1 · one-Click AI Summary for Audio/Video & Chat with Learning Content: Bilibili | YouTube | Tweet丨TikTok丨Dropbox丨Google Drive丨Local files | Websites丨Podcasts | Meetings | Lectures, etc. 音视频内容 AI 一键总结 & 对话:哔哩哔哩丨YouTube丨推特丨小红书丨抖音丨快手丨百度网盘丨阿里云盘丨网页丨播客丨会议丨本地文件等 (原 BiliGPT 省流神器 & AI课代表)
A list of useful Java frameworks, libraries, software and hello worlds examples
an ambient intelligence library
Prometheus 社區 Helm 圖表。 Prometheus 社群 Kubernetes Helm Charts 此功能處於測試階段,可能會發生變化。
Spring Cloud 学习案例,服务发现、服务治理、链路追踪、服务监控等
此專案圍繞「Pony is an open-source, actor-model, capabilities-secure, high performance programming language.」建置,聚焦實際場景的開源實作,提供可重用的工具鏈與整合方式。
Fara1.5 – A family of frontier computer use agent models
A scikit-learn compatible neural network library that wraps PyTorch
Transforms PDF, Documents and Images into Enriched Structured Data
Objective-C JSON
🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
☁️ The Most Secure and Easy Selfhosted Home Server. Take control of your data and privacy without sacrificing security and stability (Authentication, anti-DDOS, anti-bot)
A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).