GitHub Trending | 2026-10-16

数据来源：https://github.com/trending（每日榜），按今日新增 Stars 排序。

1. morluto/rea — TypeScript ⭐ 269,799（今日 +32,314）

EN: Reverse engineer anything with agents, from app behavior down to native binaries.
CN: 用 Agent 逆向工程一切——从应用行为到底层原生二进制。

EN: VoiceStudio is the open-source, fully-local ElevenLabs alternative — voice cloning, voice design, video dubbing, dictation, transcription & audiobook creation in 646 languages.
CN: 开源、完全本地运行的 ElevenLabs 替代品——语音克隆、语音设计、视频配音、听写、转录与有声书制作，支持 646 种语言。

EN: Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 250,000+ scientists worldwide. 177 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
CN: 把任意 AI Agent 变成 AI 科学家。全球 25 万+科学家使用的头号科学 Agent Skills 库：177 个开箱即用的验证 skill，外加覆盖生物、化学、医学与药物发现的 100+ 科学数据库。兼容 Cursor、Claude Code、Codex、Pi、Antigravity 与开放 Agent Skills 标准。

EN: The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
CN: Agent Harness 性能优化系统：Skills、本能、记忆、安全与"研究优先"的开发流程，面向 Claude Code、Codex、Opencode、Cursor 等。

EN: Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and enforces routing across 17 platforms via MCP + hooks.
CN: AI 编程 Agent 的上下文窗口优化：沙盒化工具输出（减少 98%）、持久化会话记忆，通过 MCP + Hooks 在 17 个平台间强制路由。

EN: XERJ is the new way for AI to search data. Its autoindex capability activates agents to know your data without the token waste of grep and sed. One command indexes code, docs, logs and PDFs for search, RAG, security audits and agent memory, using 40x fewer tokens than grep. Elasticsearch compatible, so existing clients just work.
CN: AI 搜索数据的新方式。autoindex 让 Agent 无需经由 grep/sed 浪费 token 就能了解你的数据；一条命令即可索引代码、文档、日志和 PDF，用于搜索、RAG、安全审计与 Agent 记忆，token 消耗比 grep 少 40 倍。兼容 Elasticsearch，现有客户端开箱即用。

EN: 🪨 why use many token when few token do trick. Viral skill + proxy for coding agents that cuts 65% of tokens by talking like a caveman.
CN: 🪨 "Why use many token when few token do trick." 出圈的 Skill + 编程 Agent 代理，用"穴居人式说话"把 token 消耗削减 65%。

EN: 🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
CN: 🌊 原版 Agent Harness。部署智能多玩家集群、编排自主工作流、构建对话式 AI 系统；具备自适应记忆、自学习智能、联邦、向量 RAG 集成，原生支持 Claude Code / Codex / Hermes 等众多平台。