CN Windows 多网卡带宽叠加工具。无需复杂配置，一键聚合多网卡（有线、Wi-Fi 网卡、手机热点等），实现物理级多线下载与叠加网速。 EN Windows multi-NIC bandwidth aggregator. Zero complex setup. One-click to combine multiple networks (Ethernet, Wi-Fi, mobile hotspots, etc.) for physical-level concurrent downloading and multiplied speeds.

Let Claude (or any LLM) actually watch a video — scene-aware, deduplicated frames + transcript, from a URL or local file. Runs locally, MIT.

access to david ondrej's personal agent skills

Your Open Autonomous Android Agent — A production-ready, self-planning AI assistant powered by local/remote LLMs and accessibility-driven screen automation.

Spotify clone with deep integration

Immersive translation Xposed module for YouTube app

Morph one image into another with a smooth gooey effect.

BiliTVNative

autonomous red teaming platform; multi-agent offensive-security meta-harness

Your GitHub stats, turned into a World-Cup-style player card

Morphe patches: Ads Free Rewards, No Ads, Remove telemetry and more.

Fast drop in replacement for cn

Standalone iOS app to spoof GPS location without jailbreak. Includes Shadowrocket/Surge/Loon/QX/Stash module.

OpenWiki is a CLI that writes and maintains agent documentation for your codebase.

Use ChatGPT Developer Mode as a local coding agent for your repo through MCP.

自托管、零运维的 A 股「选股 + 监控 + 回测」量化工作台 | 基于 TickFlow 数据 | LLM 能力驱使策略定制+个股分析+复盘 | 自由接入第三方个性化扩展数据

This project is an AI Agent orchestration platform. It uses an LLM-driven decision engine, combined with capabilities (built-in tools, MCP protocol, CLI execution, browser operations, etc.), to achieve a basic closed loop from perception → planning → execution → feedback.本项目是一个面向 AI Agent 编排平台。它通过 LLM 驱动的决策引擎，结合能力（内置工具、MCP 协议、CLI 执行、浏览器操作等）

Shevery - Modernized Android manager with Jetpack Compose, Material 3, and compatibility enhancements.

Open-source TypeScript terminal coding agent for DeepSeek-V4 — builds on DeepSeek's strong price-performance and ultra-cheap cache pricing, engineering byte-stable prefixes and cache-reusing forks so cross-session memory and a continuous self-correction layer add almost no token cost; 1M context, Skills/MCP/Hooks, Claude Code config compatible.