OPEN SOURCE OBSERVER

逛逛 GitHub

从项目热度走向工程判断:追踪开源工具、模型与开发者生态。

13热门项目
15热门模型
+15,425今日新增 Star

01 / CODE

GitHub Trending

排名项目语言今日新增总 Star
01morluto/reaReverse engineer anything with agents, from app behavior down to native binaries.TypeScript+4,66614,423
02sponsors/mattpocockSkills for Real Engineers. Straight from my .agents directory.Shell+1,406279,449
03boykopovar/AnyPS5Tool for automatic PS5 executables porting to Linux and WindowsC+++2,72510,108
04ayghri/i-have-adhdA skill to stop your coding agent from burying the answer. ADHD-friendly output.Python+62055,032
05sponsors/cathrynlaveryEditorial diagram design for Claude Code, Codex, GitHub Copilot, Factory Droid, and Pi. 42 diagram types. Self-contained HTML + SVG. No shadows. No Mermaid slop.HTML+82844,880
06addyosmani/agent-skillsProduction-grade engineering skills for AI coding agents.JavaScript+693102,718
07EpicGames/raddebuggerA native, user-mode, multi-process, graphical debugger.C+827,834
08sponsors/thedotmackPersistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + MoreTypeScript+57897,643
09manaflow-ai/cmuxOpen source Ghostty-based macOS terminal with vertical tabs and notifications for AI coding agents. Built for multitasking, organization, and programmability.Swift+9627,808
10sponsors/trycuaScale computer-use 2.0 with open-source drivers, cross-OS fleets, and benchmarks for training, evaluation, and data generation.Rust+22928,703

02 / MODELS

ModelScope 热门模型

排名模型任务收藏下载
01Z-Image-Turbo文本生成图片2,570838,732
02MiniMax-H3—2,060197,909
03Qwen3.8-27B视觉多模态理解1,568616,940
04DeepSeek-R1—1,398927,458
05Qwen3.8-Flash-Next视觉多模态理解1,36279,624
06Qwen-Image-2.1文本生成图片1,22943,524
07Qwen3-Coder-480B-A35B-Instruct文本生成1,100138,539
08IndexTTS-2语音合成998212,518
09chatglm3-6b—8321,591,159
10Qwen3.8-2.4T-A95B文本生成7812,156

DEVELOPER VIEW

开发者视角

如果你在搭 Agent 工作流,mattpocock 和 addyosmani 的技能集可以直接抄结构——它们代表的是「什么样的话术能让 Agent 稳定产出可合并的代码」。i-have-adhd 值得单独试,成本极低但能立刻改善日常交互体验。

thedotmack 的持久上下文方案解决的是真实痛点:每天重新解释项目背景。它支持多宿主这一点尤其关键,避免被单一工具锁定。trycua 的价值在于它是基础设施而非玩具,如果你要做 computer-use 的评测或数据生成,这是少数提供跨系统机群能力的开源选项。

模型侧,Qwen3-Coder-480B-A35B 对需要本地或可控代码模型的团队是重要备选;IndexTTS-2 在语音克隆与合成上保持了可玩性和可用性。

WORTH A STAR

本周值得 Star

morluto/rea — 首日近 4700⭐ 不是偶然。逆向工程长期缺乏好的自动化路径,Agent 驱动的行为分析到二进制分析是真正的新范式,且目前几乎没有成熟竞品。

thedotmack 的持久上下文项目 — 跨会话记忆是每个重度 Agent 用户都会撞上的墙,它把这层做成了可插拔组件,适配面广,落地阻力小。

sponsors/cathrynlavery 的图表设计技能 — 42 种图表、自包含 HTML+SVG、明确拒绝 Mermaid 的粗糙输出,这种「审美即功能」的技能正在成为 Agent 生态里被低估的一类资产。

SOURCES & METHOD

完整信源

GitHub Trending(项目热度、语言、Star) · ModelScope(模型任务、收藏与下载)

抓取日期:2026-10-08。排名是当日快照,指标可能随平台更新而变化。