日报 · 2026-10-28
GitHub 新星 · 汇总昨日新收录项目
当日新增收录 41 个项目
覆盖日期：2026-10-28 · 北京时间
发布时间：2026/10/29 08:00:18
本刊有 1 个项目已不可公开，相关条目已隐藏。
部分来源已不可公开，本期文章将按其余项目修订后重新展示。下方为已保存的项目资料。
本期项目资料
收录数按本期首次达标收录的项目统计。
- interplains/Zero-Breach-ToolkitPython · 2,742 Stars
间谍软件检测
Stars 统计更新于 2026/10/29 07:55:21
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作者描述
Free, open-source, offline checks for traces of known mercenary spyware. Works on Windows, macOS and Linux, Android phones and iPhone backups.
编报时的 AI 中文解读
用于检查电脑、安卓手机和iPhone备份中是否存在已知商业间谍软件痕迹的免费开源工具，支持离线扫描，面向无需技术经验的用户。
编报时的 README 依据
# Zero Breach Toolkit A free, open-source check for traces of known mercenary spyware (Pegasus, Predator, Graphite, Candiru and others) on computers, Android phones and iPhone backups. - **Read-only.** It does not modify source evidence or system settings. It writes only temporary database snapshots and the reports you ask for. - **No network requests during a scan.** It never looks up spyware addresses and has no upload feature. Python network calls are blocked and redirected paths are refused. This is not an operating-system network sandbox; see [PRIVACY.md](PRIVACY.md).
5. **Close your browsers and chat apps**, then run the check. A menu opens; press Enter for the standard check of this computer. ``` python -X utf8 scan/zero-breach-toolkit.py ``` On Windows you can instead double-click `scan\run-scan.cmd`. It saves the readable and JSON reports in a `findings` folder next to the toolkit. Reports contain private details from your computer; keep them out of shared and synced folders. Useful options: ``` python -X utf8 scan/zero-breach-toolkit.py --quick # faster: skips file fingerprints
the [Mobile Verification Toolkit](https://github.com/mvt-project/mvt-indicators) project, the Citizen Lab and Echap's stalkerware research, and a hand-curated set from Citizen Lab reports (Candiru / DevilsTongue and Paragon's Graphite) with every line cited. The curated set works offline; `--update` downloads the rest from a fixed list of official sources. --- ## Install and run You need Python 3.8 or newer ([python.org](https://www.python.org/downloads/); on Windows, tick "Add python.exe to PATH" when installing). No administrator rights and no extra
- AienTech/dossierTypeScript · 2,742 Stars
求职管理、简历生成、求职信生成
Stars 统计更新于 2026/10/29 07:55:21
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作者描述
A self-hosted job search app that writes tailored resumes and cover letters from your profile.
编报时的 AI 中文解读
Dossier 是一个自托管的求职应用，它根据你的个人资料为每个职位生成定制简历和求职信，并跟踪从草稿到录用的整个申请流程。适合希望在自有服务器上管理求职过程的个人用户。
编报时的 README 依据
<img alt="Next.js 16" src="https://img.shields.io/badge/Next.js-16-000000?logo=nextdotjs"> <img alt="PostgreSQL 18" src="https://img.shields.io/badge/PostgreSQL-18-4169E1?logo=postgresql&logoColor=white"> </p> Dossier keeps your career history in one profile and turns it into a clean resume. For every job you apply to, it reads the posting, shows how you match, and drafts a tailored resume and cover letter that only use facts from your profile. You refine them in a chat, download them as PDFs and track each application from draft to offer.
It's for one person on a small server: one password, your data in your own PostgreSQL database, and an AI model of your choice. That can be a local model through Ollama or LM Studio, so your profile and documents stay on your own hardware, or a hosted one (any OpenAI-compatible API, Anthropic or Mistral), which then receives what it writes from. [Privacy](https://github.com/AienTech/dossier/wiki/Privacy) says what goes where.
- [Privacy](https://github.com/AienTech/dossier/wiki/Privacy): what stays on your server and what leaves it. [PRIVACY.md](PRIVACY.md) has the details. - [Environment variables](https://github.com/AienTech/dossier/wiki/Environment-variables): every setting the server reads. ## Known limitations - **Desktop only:** made for a laptop or desktop browser, not for phones. - **Single user:** one password and one profile; there are no accounts.
**Get started:** [run it on your computer](#run-it-on-your-computer) in a few minutes, or [self-host it](#self-hosting) on a server. The [installation guide](https://github.com/AienTech/dossier/wiki) covers every way: Docker with or without Compose, Node.js, a plain Ubuntu server, CapRover, Coolify and Dokploy. ## Demo 
All you need is [Docker Desktop](https://docs.docker.com/desktop/) on macOS or Windows, or Docker Engine with its Compose plugin on Linux, and about 2 GB of free memory. Run the commands in a terminal: macOS's Terminal, Linux, or WSL on Windows. **1. Fetch the Compose file** into a folder of its own, and make the secrets Dossier needs: ```bash mkdir ~/dossier && cd ~/dossier curl -fsSL -o compose.yml https://raw.githubusercontent.com/AienTech/dossier/main/compose.production.yml echo "POSTGRES_PASSWORD=$(openssl rand -hex 24)" > .env echo "DOSSIER_SECRET=$(openssl rand -base64 32)" >> .env
To put Dossier on a server, on your own domain with HTTPS, follow the [installation guide](https://github.com/AienTech/dossier/wiki#self-host-on-a-server): a plain Ubuntu server with Docker Compose and Caddy (or Node.js, without Docker), CapRover, Coolify or Dokploy. Give the server at least 2 vCPUs and 2 GB of memory (see [Performance and sizing](#performance-and-sizing)). ## Documentation The [wiki](https://github.com/AienTech/dossier/wiki) has what comes after installing:
- **English interface:** the app itself is in English. Documents can be written in other languages; in the 21 built-in ones, their headings, dates and language levels are in that language too, and in one added with **Other language…** those stay in English. - **One instance:** run a single copy of the app per database. The nightly backups, the AI job queue and the PDF browser live inside the app's process. ## Performance and sizing Measured on 28 September 2026 with the production build in a container limited to 2 vCPUs and 1 GB:
- CopilotKit/OpenDuetTypeScript · 1,308 Stars
主动任务执行、邮件与日程管理、审批与安全控制
Stars 统计更新于 2026/10/29 07:56:34
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作者描述
An Open Source template for a proactive AI agent that gets your work done and keeps you in the loop.
编报时的 AI 中文解读
OpenDuet 是一个开源、自托管的主动型 AI 智能体，能在网页、移动端、Slack 和 Microsoft Teams 中使用。它可主动提供晨间简报、分类邮件、执行任务，并在发送、支付、签名或删除前请求批准。 它专为个人或团队设计，用户可自行托管并选择自己的模型。
编报时的 README 依据
 **Each agent has a computer of its own. Use it on the web, on mobile, in Slack, or in Microsoft Teams.** Host OpenDuet yourself and choose your own model. Requires a free [CopilotKit Intelligence](https://docs.copilotkit.ai) project for threads and memory. Everything that makes it OpenDuet lives in [one folder](#make-it-your-own), so copy it and make it your own. [**Building on OpenDuet? Talk to a CopilotKit engineer →**](https://www.copilotkit.ai/talk-to-an-engineer?ref=openduet_readme)
Agent (any AG-UI agent, on a framework or hand-written) │ every tool call comes back through the gateway ▼ Its own computer Chromium · /workspace · shell CopilotKit Intelligence threads and memory PostgreSQL + pgvector policy, approvals, audit, encrypted credentials MCP connectors Google Drive, Notion, and more through Composio ``` **Channels.** You reach OpenDuet where you already are: the web app, Slack, or Microsoft Teams, all of which OpenBot supports today.
You will need Docker, [Bun](https://bun.sh) 1.3 or newer, Node (for `npx`, which runs the CopilotKit CLI), a model key, and a CopilotKit Intelligence project. **Intelligence is required**: it keeps OpenDuet's threads and memory, and the server will not start without its key. The free Developer plan is enough. Run every command in this section from the repository root. ```sh git clone https://github.com/CopilotKit/OpenDuet.git cd OpenDuet cp .env.example .env bun install ``` Sign in and pick an Intelligence project: ```sh npx --yes copilotkit@latest login
`CPK_INTELLIGENCE_LEARNING_CONTAINER_ID=openbot`. It reads `.env` and `.copilotkit/` from the directory it runs in, which is why it runs here and not from `openbot/`. If `.env` already has an `INTELLIGENCE_API_KEY`, it keeps it and only checks that the container exists. Put your model key in `.env`. The OpenDuet Bot runs OpenAI's `gpt-5.6-terra`, set in `openbot/examples/openduet/model.yaml`, so by default that is: ```sh OPENAI_API_KEY=sk-... ``` To use another provider or model:
- **Another OpenAI model.** Change `default_model` in `openbot/examples/openduet/model.yaml`, or in your copy of it (see [Make it your own](#make-it-your-own)). `BOT_MODEL` does not change an OpenAI model on its own. It is used only when `OPENAI_BASE_URL` is also set to an OpenAI-compatible endpoint, and then it names the model that endpoint serves. - **Anthropic.** Set `BOT_PROVIDER=anthropic` and `ANTHROPIC_API_KEY=...`. The model is `BOT_MODEL` if you set one, such as `BOT_MODEL=claude-sonnet-5-5`, and `claude-sonnet-4-5` if you do not.
**Early, and in active development.** OpenDuet runs today as [OpenBot](https://github.com/CopilotKit/openbot), CopilotKit's open-source, self-hosted agent platform, with OpenDuet's name, Bots and skills on top. It already reads your Gmail and calendar, sorts what needs you from what can wait, and makes the morning brief. [Features and Capabilities](#features-and-capabilities) lists what works today. Expect things to move. Issues and ideas are welcome. ## What it does - **A morning brief.** One short message to start the day: what is on, what changed, and what needs a decision from you.
Sign-in for a team, and Slack and Teams, are OpenBot's: see [openbot/docs](openbot/docs/README.md). A hosted or deploy guide for OpenDuet is not published yet, and neither is an OpenDuet image, so the Quick start above is the supported way to run it today. The Docker and Helm guides in `openbot/docs` deploy plain OpenBot from OpenBot's own image, not OpenDuet. ### Connect Gmail and Google Calendar
- domsvoboda/xodus-nexusTypeScript · 1,063 Stars
游戏启动器、游戏安装
Stars 统计更新于 2026/10/29 07:35:57
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作者描述
Open-source Xbox-inspired desktop launcher for Xodus on Linux
编报时的 AI 中文解读
Xodus Nexus 是一个基于 Xodus 的非官方 Linux 桌面启动器，用于浏览 Microsoft Store、安装拥有或订阅的游戏，并通过共享运行时游玩，支持 Xbox 登录和云存档。适合希望在 Linux 上玩 Microsoft Store PC 游戏的用户。
编报时的 README 依据
Maintainers review suggestions before including them in a release. Missing a language? Request it in a [GitHub issue](https://github.com/domsvoboda/xodus-nexus/issues). [Start translating →](https://app.tolgee.io/projects/36162/translations) · [Translation guide](docs/TRANSLATING.md) ## Install Download the latest x86_64 Linux AppImage from [Releases](https://github.com/domsvoboda/xodus-nexus/releases), make it executable and open it. For an application-menu installation on supported distributions: ```sh
curl -fsSL https://raw.githubusercontent.com/domsvoboda/xodus-nexus/main/scripts/install.sh | bash ``` On first startup, the launcher installs and verifies the **Nexus backend** in the background so you can sign in during setup. Install the **Nexus runtime** from **Settings** before launching games. A valid purchase or subscription is required. If passkey sign-in gets stuck, choose **Continue in browser** in the sign-in window. This option requires Google Chrome, either a native installation or the Flatpak version available through Discover. Other browsers are not supported.
> **Xodus Nexus is an independent, unofficial project built on Xodus. It is not an official project or release from the upstream Xodus developers.** > > Please report all issues encountered with **Xodus Nexus** only in the [Xodus Nexus repository](https://github.com/domsvoboda/xodus-nexus/issues), not in the upstream Xodus issue tracker or support channels. > > Nexus includes its own changes, so a problem in Nexus does not necessarily indicate a problem in upstream Xodus. An Xbox-inspired launcher built on [Xodus](https://github.com/xodus-gaming/xodus),
DXVK and VKD3D-Proton translate supported Direct3D graphics to Vulkan. Install or update the complete runtime through **Settings**. Its Wine and XGameRuntime components are built together at matching revisions, so there is no need to install the individual forks separately. All games use the same shared runtime; compatibility and online services still depend on the game. ## Compatible games These results come from manual testing and user reports. Other games may work, but have not been verified and may encounter compatibility issues. | Game | Playable | Status | | --- | --- | --- |
- mikufoxxx/Wenku8_FlutterDart · 1,026 Stars
在线阅读、离线阅读、音频播放
Stars 统计更新于 2026/10/29 07:00:28
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作者描述
轻小说文库 Flutter 客户端 · 奶白玻璃、立体书架、离线阅读与自然在线听书（Android）
编报时的 AI 中文解读
这是一个面向 Android 的轻小说阅读客户端，提供在线书库浏览、本地书籍导入、离线阅读和听书功能，支持多种电子书格式，并允许用户自定义阅读界面和排版。
编报时的 README 依据
# 轻小说文库 · Wenku8 Flutter > [!IMPORTANT] > **本项目仅为第三方阅读客户端，提供阅读界面与本地书籍管理，不运营在线书库、不自行发布小说资源，安装包不附带小说文件。在线内容及可读状态一切以 Wenku8 为准；不提供因版权限制而停止开放的在线书籍阅读。** > > **本项目完全免费、开源，无任何赞助、打赏或付费渠道。** 不出售会员、激活码或功能解锁服务。任何以本项目或开发者名义收费、募捐、索要赞助的行为均与本项目无关，请勿付款。 > > **仅支持轻小说文库及本地导入，不再支持其他源或自定义书源。** 面向 Android 手机与平板，并非轻小说文库网站的官方应用。 ## 下载与更新 当前正式版：**[0.4.8 · build 192](https://github.com/mikufoxxx/Wenku8_Flutter/releases/tag/v0.4.8)**。 本版加入原创折页墨线动态图标与分类振动设置，优化搜索和标签筛选；修复翻页章名错位，支持逐行重排、连续滚动跨章及听书后续语段预缓存。
<img src="https://img.shields.io/badge/Platform-Android-3DDC84?style=flat-square&logo=android&logoColor=white" alt="Android" /> <a href="assets/licenses/GPL-3.0.txt"><img src="https://img.shields.io/badge/License-GPL--3.0-blue?style=flat-square&logo=gnu&logoColor=white" alt="GPL 3.0" /></a> </p> 奶白玻璃、档案式排版与立体书架。从发现一本书，到整理本地书库、离线阅读和听书，让每一次打开都回到故事本身。 ## 界面一览 <p align="center"> <img src="docs/images/discovery.png" width="30%" alt="发现 · 立体书架与书籍探索" /> <img src="docs/images/reader.png" width="30%" alt="阅读 · 横排、竖排与沉浸阅读" />
### [镜像下载 →](https://git.3952039.xyz/#releases) [GitHub Releases →](https://github.com/mikufoxxx/Wenku8_Flutter/releases/latest) | 你的设备 | 选择安装包 | | :-- | :-- | | 近年的 Android 手机、平板 | **arm64-v8a（推荐）** | | 旧款 32 位 ARM 设备 | armeabi-v7a | | x86_64 设备或模拟器 | x86_64 | **沿用原包名与签名，可直接覆盖升级，不要先卸载旧版。** 升级、整理存储或同步前，请先备份重要数据。 App 内打开 **我的 → 关于 → 检查更新**，优先走镜像，连接失败时自动回退到 GitHub，无需选择线路。 [完整更新说明](CHANGELOG.md) · [阅读指南](docs/READER.md) · [反馈问题](https://github.com/mikufoxxx/Wenku8_Flutter/issues) <p align="center"> <picture>
- **立体与列表**：循环轮播、惯性吸附与触觉反馈，也可只用列表。分类、阅读状态和书籍来源一起筛选；本地书库可独立管理，也可与书架合并。 - **先选择，再导入**：支持多选文件、扫描共享存储或指定文件夹；扫描后勾选书籍再导入，同系列分卷统一确认合并。 - **默认关联原文件**：覆盖现有支持格式，也可选择复制到应用；TXT 使用目录索引，EPUB 按需读取资源，其他格式保留必要的转换文件和缓存。请保留关联的原文件；文件移动或权限失效后可重新关联，保留进度和书签。 - **保留原书的细节**：EPUB 注音、注释弹窗、常见对齐、分隔线与混合横竖排；TXT 可自定义目录。在线书籍支持章节与插图缓存，不提供整书文件下载或导出。 - **批量整理，更少重复**：多选后移动分类、移出或删除；更换封面、恢复原书封面，也可手动升级旧 EPUB 排版和整理重复资源，保留原书、目录、进度与书签。 <details> <summary><b>支持的格式与网盘入口</b></summary> 支持 TXT、EPUB、MOBI／AZW／AZW3／PRC、FB2、PDF、DOC／DOCX、RTF、HTML、Markdown 与 ZIP。书名、作者、封面和分卷顺序可调整。
- daveebbelaar/bamaSwift · 582 Stars
AI辅助编程、应用开发
Stars 统计更新于 2026/10/29 07:56:37
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作者描述
BAMA: Build Any Mac App. Agent skills to research, clone, design, build, optimize, and test native macOS apps with Swift and SwiftUI.
编报时的 AI 中文解读
BAMA 是一套面向 AI 编程代理的 Skills 集合，帮助代理将 macOS 应用从想法推进到完成，包括克隆现有应用、规划、编码、设计和测试等阶段。适用于使用支持 Skills 的 AI 代理（如 Claude Code、Codex）进行 macOS 原生应用开发的开发者。
编报时的 README 依据
**1. Clone** Your agent opens the app you like and screenshots every screen. It writes a screen index. </td> <td width="33%" valign="top"> **2. Plan** It turns the screens into user stories with checkable acceptance criteria, in milestones. </td> <td width="33%" valign="top"> **3. Build** It builds one story per commit. Before each commit it snapshots every page in light and dark mode and runs the tests. </td> </tr> </table> ## Skills <table> <tr><th>Stage</th><th>Skill</th><th>What it does</th></tr>
<tr><td rowspan="3" valign="top"><b>Start</b></td><td nowrap><a href="skills/start/bama/SKILL.md"><samp>bama</samp></a></td><td>Router: finds where you are and calls the right skill</td></tr> <tr><td nowrap><a href="skills/start/app-brief/SKILL.md"><samp>app-brief</samp></a></td><td>Turns an idea into a one-page brief</td></tr> <tr><td nowrap><a href="skills/start/new-mac-app/SKILL.md"><samp>new-mac-app</samp></a></td><td>A working app from a template: Swift package, SwiftData, build script, snapshot mode, git</td></tr>
<tr><td rowspan="3" valign="top"><b>Plan</b></td><td nowrap><a href="skills/plan/research/SKILL.md"><samp>research</samp></a></td><td>Parallel researcher agents: market, users, features, design, macOS APIs</td></tr> <tr><td nowrap><a href="skills/plan/clone/SKILL.md"><samp>clone</samp></a></td><td>Screenshots every screen of any app with computer use or a browser, writes a screen index</td></tr> <tr><td nowrap><a href="skills/plan/user-stories/SKILL.md"><samp>user-stories</samp></a></td><td>A backlog with checkable acceptance criteria, in milestones</td></tr>
[](LICENSE) **[Quick start](#quick-start) · [How it works](#how-it-works) · [Skills](#skills) · [Specs](#specs) · [Install](#install)** </div> ## Quick start ```bash npx skills@latest add daveebbelaar/bama ``` Then ask your agent: ```text Clone my to-do app as a native Mac app. Screenshot every screen, write the user stories, and build milestone 1. ``` Not sure where to start? Type `/bama`. It looks at your project and picks the next skill. ## How it works <table> <tr> <td width="33%" valign="top">
## Specs Not sure what to build? [specs/](specs/) has 12 build plans for small Mac apps: a window snapper, a window switcher, a launcher, clipboard history, screenshots, a screen recorder, and more. I took them apart from Onyx, my own menu bar app. Copy one into an empty folder and tell your agent: ```text Build the app in window-snapper.md with BAMA. ``` ## Install Pick one route per agent. Two routes install every skill twice. <details open> <summary><b>Claude Code</b></summary> ```text /plugin marketplace add daveebbelaar/bama /plugin install bama@bama ``` </details> <details>
bama/scripts/link-skills.sh # links every skill into ~/.claude/skills and ~/.agents/skills ``` </details> ## Requirements - macOS 26 or later - Xcode 26 or later, for the Swift 6.2 toolchain (you never open it) - An agent that supports skills: Claude Code, Codex, Cursor, Gemini CLI - For `clone` on native apps: computer use (Claude Pro or Max) ## Credits - The idea and the "any" promise come from [REA: Reverse Engineer Anything](https://github.com/morluto/rea) by morluto. REA showed that an agent can reverse engineer any app. BAMA takes that idea to the Mac.
- anonnerdfrenzy/survival-llmPython · 562 Stars
离线问答、生存知识查询
Stars 统计更新于 2026/10/29 07:56:37
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作者描述
A free AI assistant and survival library that runs on your own computer, with no internet needed. Shows the source of every answer.
编报时的 AI 中文解读
这是一个完全离线运行的AI助手，基于内置的生存知识库回答医疗、应急等实用问题，并展示答案来源。适合需要无网络环境下获取可靠生存指导的用户。
编报时的 README 依据
# Survival LLM A free AI assistant and survival library that runs entirely on your own computer and works with no internet. Ask it how to keep food safe in a blackout, treat a burn or purify water: it searches an offline library of medical, emergency, how-to and encyclopedia articles, answers from what it finds, and shows you the exact passage each answer came from. - **Offline and private.** The AI model and the library live on your computer. Your questions never leave it, and once set up it works with the internet off.
- **Add your own files.** Your files, at the top, takes PDFs, Word documents, EPUB ebooks, web pages and text files (drop them on the window or choose them), so the AI can search your generator's manual, your medicines list or your family's emergency plan along with the library. They stay on your computer, in the `Survival LLM Files` folder in your home folder; files you put in that folder, or change there, are picked up on their own. It can't read scans or photos of pages yet.
- `library/myfiles.py` reads the person's own files into a small index of their own (kept with the app's settings) and searches it together with the library. - Everything except Ollama, the app window (pywebview), PDF reading (pypdf) and checking web certificates with the system's own store (truststore) is the Python standard library. ## Run from source ```bash python3 app/server.py # the app in its own window (needs `pip install pywebview pypdf truststore`; else it uses your browser) python3 app/server.py --browser # in your web browser instead
python3 chat.py "How long is fridge food safe in a blackout?" # terminal; --model NAME picks a model ``` The library is looked up at `$SURVIVAL_LLM_LIBRARY`, then `~/Survival LLM Library`, then `library.noindex/` next to the code. Without a built-in engine, the app uses an Ollama you have installed (`ollama serve`). `python3 tests/run_all.py` checks memory and the handling of what models write (forget requests, notes about different people, Sources lines), with a stand-in for the model: no Ollama or library needed. Run it after changing `memory.py` or
your computer and internet speed (the biggest AI model is 80 GB); you only click for about 5 minutes. **Mac** (Apple Silicon, macOS 14 Sonoma or newer) 1. Download `Survival-LLM-mac.zip` and double-click it to unzip. Move **Survival LLM** to Applications if you like. 2. Double-click **Survival LLM**. The first time, macOS says it can't verify the app, because it isn't sold through Apple. Click **Done**, open **System Settings > Privacy & Security**, scroll down to "Survival LLM was blocked", click **Open Anyway**, and confirm with your password. You only do this once.
**Windows** (10 or 11, 64-bit) 1. Download `Survival-LLM-windows.zip`, right-click it and choose **Extract All**. (Running it from inside the zip doesn't work.) 2. Open the extracted **Survival LLM** folder and double-click **Survival LLM.bat**. If Windows says it protected your PC, click **More info**, then **Run anyway**. **Then** the app opens in its own window and walks you through setup: 1. **AI engine:** built into the Mac app. On Windows, one click downloads it (Ollama, 1.6 GB). 2. **AI model:** it suggests the best one for your computer's memory (below) and downloads it.
`~/Survival LLM Files`; keep that folder if you want them. The app's own settings are in `~/Library/Application Support/Survival LLM` on a Mac, and in `%APPDATA%\Survival LLM` plus the AI engine in `%LOCALAPPDATA%\Survival LLM` on Windows. ## Which model your computer gets The app checks your memory and suggests a model. More memory, smarter model. | Your computer | Model | Download | |---|---|---| | Mac with 128 GB or more | NVIDIA Nemotron 3.5 Super (`nemotron-3.5-super:120b-a12b-nvfp4`) | 80 GB | | Mac with 32-96 GB | Qwen3.8 27B (`qwen3.8:27b-mlx`) | 18 GB |
| Windows PC with 32 GB or more | NVIDIA Nemotron 3.5 Lightning (`nemotron-3.5-lightning:30b-a3b`) | 25 GB | | Mac or PC with 16-31 GB | IBM Granite 4.2 8B (`granite4.2:8b`) | 6 GB | Nemotron Super needs 128 GB because macOS lets the graphics side use only about three quarters of memory. Gemma 4 E4B (`gemma4`, 10 GB) is offered as a faster option for 16 GB computers. Computers with 8 GB can still search the library; no model we tested was both small enough and safe enough to recommend for them. ## How the models did
Code: MIT ([LICENSE](LICENSE)). Library content keeps the license of its source ([SOURCES.md](SOURCES.md)). AI models make mistakes. Every answer shows its sources so you can check.
- man15h/tellyscopeKotlin · 522 Stars
电视去臃肿、应用安装、文件传输
Stars 统计更新于 2026/10/29 07:56:37
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作者描述
Debloat your Android TV, install apps, browse and transfer files on it, all from your phone. Under 3 MB, no tracking, no root, no PC.
编报时的 AI 中文解读
Tellyscope 是一款安卓手机应用，用于通过 Wi-Fi 管理 Android TV、Google TV、NVIDIA Shield 或 Fire TV，支持去臃肿、安装应用、浏览和传输文件，无需 root 或 PC。
编报时的 README 依据
- **[Obtainium](https://github.com/ImranR98/Obtainium)** or **[Orion Store](https://github.com/RookieEnough/Orion-Store):** tap the badge above on your phone for automatic updates. You need a phone on Android 8.0 or newer, on the same Wi-Fi as the TV. ## Setting up your TV 1. On the TV, open **About** in Settings and press OK on **Build** (Fire TV: your device's name) 7 times. 2. In **Developer options**, turn on **USB debugging** (Fire TV: **ADB debugging**), and **Network debugging** or **Wireless debugging** if your TV lists it.
3. Open Tellyscope, pick your TV's brand under **Add your TV**, and tap **Connect** when your TV shows up. The app shows the exact menu names for your brand. 4. On the TV, check the key matches the one Tellyscope shows, tick **Always allow from this computer** and press **Allow**. With wireless debugging, type the 6-digit pairing code instead. ## Building
Tellyscope talks to your Android TV, Google TV, NVIDIA Shield or Fire TV over Wi-Fi using ADB, the debugging protocol developers use. Shield and Fire TV haven't been tested on real hardware yet. - **Connect.** Finds TVs on your Wi-Fi, or add one by IP. Works with network debugging and with Android 11+ wireless debugging and its pairing code. TVs reconnect by themselves. - **See how it's doing.** Free space, CPU, RAM, temperature and network speed, plus what's paired or plugged in. **Advanced monitor** has CPU and RAM by app, processes, network and data used.
- l0ng-ai/openideaTypeScript · 511 Stars
AI辅助编程
Stars 统计更新于 2026/10/29 07:56:38
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作者描述
The IDE you know, rebuilt in Rust. IntelliJ IDEA–style keymap, tool windows and search-everywhere in a fast native app: editor, code insight, debugger, Git, terminal, database and HTTP clients for 60+ languages.
编报时的 AI 中文解读
OpenIDEA 是一个用 Rust 重写的原生 IDE，提供 IntelliJ IDEA 风格的键位、工具窗口和全局搜索，支持 60 多种语言的编辑器、代码洞察、调试器、Git、终端、数据库和 HTTP 客户端，适用于希望获得快速启动和低内存占用的开发者。
编报时的 README 依据
OpenIDEA brings the IntelliJ IDEA way of working — its keymap, its tool windows, its search-everything habits — to a native app with a Rust core. Editor, code insight, debugger, Git, terminal, database and HTTP clients, for 60+ languages. Builds for macOS, Windows and Linux. ## Benchmark Opening [freqtrade](https://github.com/freqtrade/freqtrade) (Python, ~770 files) with warm caches, median of 5 runs: | | OpenIDEA | IntelliJ IDEA 2026.2.3 | |---|---|---| | Window with the project | **0.9 s** | 3.1 s | | Ready (CPU settled) | **1.1 s** | 13.2 s |
Rust 1.96, Node 22, pnpm and the [Tauri prerequisites](https://v2.tauri.app/start/prerequisites/). ## License [Apache 2.0](LICENSE). Bundled third-party assets are listed in [`THIRD_PARTY_LICENSES.md`](THIRD_PARTY_LICENSES.md). <sub>Not affiliated with JetBrains. IntelliJ IDEA is a trademark of JetBrains s.r.o.</sub>
| Memory (USS, all processes) | **169 MB** | 2011 MB | | CPU time until ready | **2.4 s** | 47.9 s | | Idle CPU | **4 %** of a core | 7 % of a core | | Quit | **0.3 s** | 5.9 s | A release build of OpenIDEA from `main` and IDEA with default settings and plugins, on Windows 11, 32-core AMD, 62 GB RAM. IDEA analyses Python more deeply, so "ready" doesn't mean the same work on both sides. Both are measured from the outside, the same way: see [`perf/compare`](perf/compare) to run it on your machine and projects. ## Build ```sh pnpm install pnpm tauri dev ```
- smithjohn78390/tongjiang-labHTML · 479 Stars
3D科学课程
Stars 统计更新于 2026/10/29 07:56:38
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作者描述
Free interactive 3D science lessons for high school · 铜匠实验室 · https://lab.tongjiang.app
编报时的 AI 中文解读
提供适合高中物理、化学、生物、地理学科的免费交互式3D课程，共55节课，每节课为约1MB的独立HTML文件，支持在线或离线使用，界面为中文，遵循中国高中课程标准和PEP 2019教材。
编报时的 README 依据
# Tongjiang Lab English | [简体中文](README.zh-CN.md) **Free, interactive 3D science lessons for high school — physics, chemistry, biology and geography.** Try them online: **https://lab.tongjiang.app** There are 55 lessons so far. Each one is a **single self-contained HTML file** of about 1 MB: double-click to open it, and it works offline, on a projector or on an interactive whiteboard. Every lesson is one 3D world with a live control console, a guiding question and a step-by-step path a teacher can follow from start to finish.
The lessons follow the Chinese national curriculum standards for senior high school and the People's Education Press (PEP) 2019 textbooks. The lesson interface is currently in Chinese; other languages are planned. ## How to use - **Online**: open any lesson at https://lab.tongjiang.app. - **Offline**: download a file from [`courses/`](courses/) and open it in Chrome or Edge. - **Embed**: `<iframe src="https://lab.tongjiang.app/<slug>" width="100%" style="aspect-ratio:16/9;border:0" allow="fullscreen"></iframe>`
- Third-party code bundled in the lessons (three.js, MIT) keeps its own license. See [THIRD_PARTY_NOTICES.md](THIRD_PARTY_NOTICES.md). - Not affiliated with People's Education Press. ## Author **Tongjiang (铜匠十点睡觉)** builds 3D visualizations for education, digital twins and factory demos. Follow on X: [@CopperForgeAI](https://x.com/CopperForgeAI). Found a mistake? Open an issue or send a DM on X.
- konlu/story-studioPython · 380 Stars
短视频创作、剪映草稿生成、配音与字幕对齐
Stars 统计更新于 2026/10/29 07:56:38
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作者描述
从选题到剪映草稿的一站式 AI 短视频内容创作 Agent Skill
编报时的 AI 中文解读
Story Studio 是一个面向 AI Agent 的短视频内容创作技能包，支持从选题、写稿、配音、配图到生成剪映草稿的全流程自动化，适合制作历史或人物故事类短视频。
编报时的 README 依据
[](#) [](#) <p align="center"> <b>用自然语言提需求，让 AI Agent 帮你走完短视频口播制作全流程。</b><br/> 既能「一句话一条龙」生成完整剪映工程，也能像搭积木一样「只写稿 / 只优化开头钩子 / 只拆镜生图 / 用现成素材做剪映草稿」。 </p> [✨ 核心亮点](#-核心亮点) • [🛠️ 四大核心模块详解](#️-四大核心模块详解) • [🚀 快速开始](#-快速开始) • [🎛️ 灵活的工作流开关](#️-灵活的工作流开关) • [💬 常用提示词示例](#-常用提示词示例) • [📦 依赖与隐私说明](#-依赖与隐私说明) </div> --- ## 📖 项目简介 **Story Studio（故事工坊）** 是专为 AI Agent（如 Claude Code、Codex、Cursor 等支持 Skill 的智能体）打造的一站式短视频内容创作技能包。
| **只找选题 / 写口播稿 / 改开头钩子** | ✅ 开 | ❌ 关 | ❌ 关 | 纯文本创作，绝不乱调收费生图或配音接口 | | **文稿已写好，拆解分镜并生成配图** | ❌ 关 | ✅ 开 | ❌ 关 | 支持只出分镜提示词，或直接调用生图工具出图 | | **文件夹里已有配音和图片，直接排剪映草稿** | ❌ 关 | ❌ 关 | ✅ 开 | 自动用 Coli 跑时间轴对齐、加推拉运镜并写入剪映 | | **从 0 到 1 全流程一条龙制作** | ✅ 开 | ✅ 开 | ✅ 开 | 选题写稿 → 确认定稿 → 配音转录 → 生图 → 剪映草稿 | --- ## 💬 常用提示词示例 ### 场景 1：全流程一条龙制作（从选题文案到剪映草稿） ```text 使用 $story-studio，制作一期关于「张居正考成法改革」的历史短视频。 1. 写作：采用历史叙事风，约 1800 字，先给我 3 个不同切入角度的开头钩子让我选，定稿后再继续。 2. 配音：定稿后使用我配置好的豆包语音生成 MP3（如果还没配置请引导我）。 3. 配图：用 Coli 对齐时间轴后拆成 20 镜，采用「厚涂历史漫画风」，9:16 竖屏生成配图，并带 3:4 和 4:3 封面。 4. 草稿：生成 1080x1920 的剪映专业版草稿，加入慢推拉运镜，默认不显示字幕。 ```
- **防素材丢失与纯净交付**：所有图片与音频自动复制进剪映草稿目录，默认 1080×1920（9:16 竖屏）、30fps、铺满整段配音；默认不强制上屏字幕（需要时只需说一句“加上可编辑字幕”）。 - **可选本地 FFmpeg 渲染**：如果你不需要进剪映微调，也可以明确要求使用内置的高精度亚像素仿射变换脚本，直接在本地渲染输出 `final.mp4`。 --- ## 🚀 快速开始 ### 第一步：一键安装 Skill（提供三种超简便方式） 你可以根据自己的使用习惯，选择以下任意一种方式进行一键安装： #### 方式 A（最推荐·零操作）：在 AI 对话框中发一句话，让 Agent 自动安装 如果你的 Agent（如 Codex、Claude Code、Cursor 等）拥有终端执行权限，你**连命令行都不用打开**，直接在任意对话框中发送： ```text 请帮我把这个 GitHub 仓库克隆安装到你的 skills 目录，并完成依赖环境检查： https://github.com/konlu/story-studio Agent 会自动识别自身 skills 目录（如 `~/.codex/skills/story-studio`），自动拉取并完成接入！ --- #### 方式 B（极客·一行命令直达）：终端一条命令克隆
### 第二步：一句话让 Agent 自动配置环境 无需自己手动折腾 Python、Node.js、FFmpeg 或配置剪映路径！安装后直接对 Agent 发送： ```text 使用 $story-studio，帮我一键检查并自动配置全部运行环境。 ``` > 💡 **智能按需初始化**：如果你只用它写文案，它不会安装任何多媒体组件；当需要配音、转录和导出剪映草稿时，原生启动器（`bootstrap.ps1` / `bootstrap.sh`）会自动在用户独立数据目录配置好 Python 3.11 (`uv`)、Node.js LTS、`Coli`、`FFmpeg`、`pyJianYingDraft` 等全部依赖。 ### 第三步：开始你的创作！ 你可以直接用大白话告诉 Agent 你想做什么。下面看看最常用的几种姿势 👇 --- ## 🎛️ 灵活的工作流开关 Story Studio 内部通过 **写作（`write`）、配图（`illustrate`）、剪映草稿（`draft`）** 三个主开关控制边界，配音与转录作为无缝衔接步骤按需触发。 你不需要写任何配置文件，直接用自然语言指挥，或者显式声明开关状态： | 你的使用场景 | 写作 | 配图 | 剪映草稿 | 说明 | | :--- | :---: | :---: | :---: | :--- |
- **Python 3.11**（通过 `uv` 自动管理独立虚拟环境，安装 `websockets==15.0.1`、`pyJianYingDraft==0.3.1`、`Pillow`、`NumPy`、`pymediainfo` 等） - **Node.js 20+ LTS & Coli**：用于本地离线语音转字幕（基于 `sherpa-onnx`），**无需调用任何收费云端字幕 API** - **FFmpeg & ffprobe**：用于音频完整性解码校验与可选的本地视频渲染 - **剪映专业版**：Windows 下支持一键检测草稿目录，缺失时可协助通过 WinGet 安装 ### 2. 账号安全与隐私保护边界 - **零私人信息残留**：本开源仓库的源码、示例与语料索引均经过脱敏与哈希化处理，不包含任何个人电脑路径、账户信息或密钥。 - **密钥安全存储**：豆包语音 `API Key` 仅从环境变量 `DOUBAO_TTS_API_KEY` 或系统级安全凭据文件读取（Windows 采用当前用户 DPAPI 加密，macOS/Linux 采用 `0600` 权限私密文件），**绝不写入对话日志、项目 JSON 或 Git 仓库**。
- **内容与语料说明**：本项目内置的对标文案语料库仅用于叙事结构、开头钩子与写作技法学习研究，**不直接作为已核实的历史事实依据**；AI 生成的画风参考图与封面样例亦非历史原照。 - **第三方生态**：第三方依赖库（如 `pyJianYingDraft`、`Coli`、`websockets` 等）均遵循其各自的开源许可证分发，本仓库不内嵌或重新分发上述外部库源码。
- vaishantsah/watson-AI-osint-all-in-oneTypeScript · 353 Stars
人物搜索、数字足迹检查、社交账号查找
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作者描述
Watson — free OSINT tool for Windows: people search across 3,100+ public sites by nickname, email, phone or website. Open-source intelligence made simple: digital footprint check, username lookup, social media search. No account, no tracking. Site: watsonfind.icu
编报时的 AI 中文解读
Watson 是一款面向 Windows 的免费开源情报（OSINT）搜索工具，输入昵称、邮箱、电话或网站，即可在 3100 多个公开网站中搜索相关档案和提及，并以可读摘要呈现，适合核查交易对象、招聘信息或了解自身数字足迹。
- heydeer/pngdeerRust · 318 Stars
图像压缩
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作者描述
Smaller PNGs, same picture. Lossy PNG compression that picks the quality for you: 8–12% smaller than TinyPNG at the same quality. Command line and in the browser.
编报时的 AI 中文解读
pngdeer 是一款有损 PNG 压缩工具，无需手动调节质量参数，自动搜索调色板大小和抖动方式，在保持视觉质量的同时生成更小的文件。适用于需要优化网页图片、减少存储空间或带宽的用户，可通过命令行或浏览器使用。
- NotRexed/SkyboundTotkC++ · 283 Stars
游戏重编译
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编报时的 AI 中文解读
这是一个实验性的Windows x64静态重编译项目，用于将《塞尔达传说：王国之泪》1.0.0版本的游戏代码转换为原生可执行文件，需要用户自备合法提取的游戏文件。
- haydenschmitty/floorplanJavaScript · 243 Stars
代码库可视化、代码导航、健康检查
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作者描述
See how your app actually fits together. An interactive, plain-English map of your codebase, drawn by Claude or Codex.
编报时的 AI 中文解读
Floorplan 是一个由 Claude 驱动的代码库可视化工具，能够生成交互式地图，用通俗语言展示应用的各个部分及其连接关系，帮助开发者理解、导航和提问。
- OpenBMB/MiniCPM-OCRPython · 233 Stars
文档解析、文本识别、质量评估
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作者描述
An open-source OCR solution for fast, accurate document parsing with correctness assessment.
编报时的 AI 中文解读
MiniCPM-OCR 是一个开源OCR工具，用于快速准确地将文档解析为文本、表格和公式，并提供质量评分模型来评估识别结果，适用于需要文档解析和质量校验的用户。
- jacke-pp/open-yokiJavaScript · 202 Stars
AI直播主播、数字人形象、弹幕互动
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作者描述
An AI live-stream host that runs on one server: voice, face, chat, memory, posts. The base yoki runs on. By Jacke_pp · contact: DM @Jacke_pp on X
编报时的 AI 中文解读
一套用于构建 AI 虚拟主播的系统，可在单台服务器上运行，支持语音、数字人形象、弹幕互动、记忆功能和社交平台发帖。适合希望部署自己 AI 主播的个人或团队。
- MiniMax-AI/mcode-stackPython · 191 Stars
AI辅助编程、代码审查、上下文压缩
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作者描述
The workflows and skills the MiniMax Code team uses to build MiniMax Code. Open source, install and use.
编报时的 AI 中文解读
MiniMax Code 团队日常开发中使用的技能与工作流集合，以 SKILL.md 技能和清单形式提供，可直接安装到 MiniMax Code 中使用。
- rudderlabs/devboxTypeScript · 156 Stars
AI辅助编程、自动生成PR、任务自动化
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作者描述
Open source autonomous engineering harness in your cloud. One sandbox per task, no real secrets inside.
编报时的 AI 中文解读
DevBox 是一个开源的自主工程工具，部署在你的云基础设施上，能够接收任务（如 Linear 工单或 CLI 指令），自主规划、编写代码、运行测试、自我审查，并最终开启一个草稿 Pull Request。它面向整个工程组织，旨在作为团队共享的自动化助手，处理后台任务。
- davemessew/AgentFluxJavaScript · 136 Stars
工作流自动化、模型接口接入
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作者描述
Agentic AI platform for visual workflows and autonomous agents. Run it with Docker on your own computer or server.
编报时的 AI 中文解读
AgentFlux 是一个可视化的AI工作流平台，可连接文档、数据源和语言模型，创建自主代理并自动化任务。
- atlanai/analytics-playbookHTML · 127 Stars
分析代理构建指南、评估指标设定、项目阶段规划
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作者描述
How to build an analytics agent that gets your business numbers right: metrics from your analysts' SQL, a golden set of real questions, improvement loops
编报时的 AI 中文解读
这是一本关于构建分析型代理（Analytics Agent）的实战指南，旨在解决商业数据查询中准确率低的问题。适用人群包括数据与分析团队的管理者、实际构建代理的工程师以及负责项目交付的顾问。它提供了从方法论、分阶段实施到评估与调优的完整框架。
- jianxinss/iching-64-motionTypeScript · 126 Stars
知识动画、视频渲染、数据可视化
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作者描述
《易经》六十四卦结构动画 · I Ching 64 Hexagrams motion graphics, made entirely with code (Remotion + React)
编报时的 AI 中文解读
这是一部用代码生成、时长约3分钟的《易经》六十四卦知识动画，讲解卦象符号系统的数学与结构，适合对易经结构或数据可视化动画感兴趣的人观看。
- oxnw/ai-phonePython · 122 Stars
电话代理、语音识别、语音合成
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A SIP phone daemon with local speech and language models on Apple Silicon.
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在 Apple Silicon 上运行的人工智能电话代理守护进程，支持本地语音识别与合成，可配置本地或云端语言模型，用于接听和拨打电话。
- addozhang/leancastKotlin · 107 Stars
投屏接收、视频播放
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Ad-free DLNA / UPnP cast receiver for Android TV · 极简无广告投屏接收器
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LeanCast 是一款专为 Android TV 设计的极简、无广告的 DLNA/UPnP 投屏接收器。用户可以从支持投屏的视频应用（如 Bilibili、爱奇艺、腾讯视频等）中选择 LeanCast 作为接收端，在电视上全屏播放视频，支持硬件解码，无需账户或云端服务。适用于希望摆脱广告、注重隐私的 Android TV 用户。
- athenaos-tech/athenaos-agentTypeScript · 104 Stars
交易终端、信号筛选、仓位管理
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AthenaOS 是一个面向 BNB Smart Chain 的自主多智能体加密货币情报与交易终端，通过 Discord、终端 TUI、Telegram 和可选网页界面操作，提供信号筛选、共识决策和仓位管理功能。适用于希望在 BSC 上进行交易并需要自动监控和风险控制的用户。
- aa1143/NamiGPTPython · 104 Stars
模型原理学习
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零基础入门大模型（LLM）的基础教程：从零手写 GPT-2，一行行看懂大模型是怎么工作的 | Build GPT-2 from scratch in PyTorch, step by step
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面向零基础读者的中文大模型入门教程，从零手写GPT-2，用“猫吃鱼”例子逐步拆解推理过程，并加载官方权重实现文本生成。
- Lookouteiseparator/droids-v1.5.2未标注语言 · 103 Stars
设备管理、应用去臃肿、数据备份
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Published: 2026-10-28
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Droids 是一个面向 Android 用户的 ADB 工具包，无需 root 即可实现设备管理、去 bloating、备份、侧载和屏幕镜像。适合希望自主掌控设备的用户。
- UltraSultanHonor/recon-v1.7.0未标注语言 · 102 Stars
信息搜集、用户名查询、邮箱情报
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Published: 2026-10-28
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Recon 是一个开源情报（OSINT）工具，用于在 300 多个来源中搜索用户名、邮箱、域名和图片，并生成统一报告。适合安全研究人员、渗透测试人员或需要收集公开信息的用户。
- ExitGooseEntrance/relay-v2.2.0未标注语言 · 102 Stars
媒体下载、视频下载、音频下载
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Published: 2026-10-28
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Relay 是一个面向 Python 3.12 的媒体下载工具，支持从 YouTube、SoundCloud 等来源下载视频、音频和播放列表，并提供多种格式转换、字幕下载和元数据写入功能。适合需要批量下载并本地保存媒体内容的用户。
- patch-gg/crowdbricksPython · 92 Stars
运动生成
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Batched NVIDIA MotionBricks: generate the motion of hundreds of characters in one model call.
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crowdbricks 是一个批处理工具，基于 NVIDIA MotionBricks 生成数百个角色的运动，一次模型调用即可完成。它适合需要高效生成大量角色动画的开发者和研究人员。
- ninetyhe-90/de-armorHTML · 85 Stars
回复校准、聊天辅助
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破甲 / De-Armor：任务导向的回复校准，保住事实与条件，减少无效防御，补齐真正交付。
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De-Armor 是一个任务导向的回复校准技能，用于修正AI回复中常见的回避、冗余或虚假中立问题，保留事实、条件、不确定性和边界，并确保交付用户要求的成果。适用于希望提升AI回复实用性的用户，尤其是需要明确决策、方案或交付物的场景。
其余 9 个项目见收录列表。