Github Top Repositories
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Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.
显示更多📈 Telegram 频道 Github Top Repositories 的分析概览
频道 Github Top Repositories (@githubre) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 13 411 名订阅者,在 教育 类别中位列第 15 141,并在 印度 地区排名第 31 438 位。
📊 受众指标与增长动态
自 невідомо 创建以来,项目保持高速增长,吸引了 13 411 名订阅者。
根据 23 六月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 411,过去 24 小时变化为 17,整体触达仍然可观。
- 认证状态: 未认证
- 互动率 (ER): 平均受众互动率为 1.04%。内容发布后 24 小时内通常能获得 0.65% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 139 次浏览,首日通常累积 87 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 1。
- 主题关注点: 内容集中在 repository, fork, programming, statistic, description 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台:
“Top GitHub repositories in one place 🚀
Explore the best projects in programming, AI, data science, and more.”
凭借高频更新(最新数据采集于 24 六月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 教育 类别中的关键影响点。
13 411
订阅者
+1724 小时
+567 天
+41130 天
数据加载中...
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| 日期 | 订阅者增长 | 提及 | 频道 | |
| 24 六月 | +28 | |||
| 23 六月 | +18 | |||
| 22 六月 | +11 | |||
| 21 六月 | +11 | |||
| 20 六月 | +11 | |||
| 19 六月 | +9 | |||
| 18 六月 | +17 | |||
| 17 六月 | +13 | |||
| 16 六月 | +11 | |||
| 15 六月 | +13 | |||
| 14 六月 | +19 | |||
| 13 六月 | +8 | |||
| 12 六月 | +17 | |||
| 11 六月 | +6 | |||
| 10 六月 | +25 | |||
| 09 六月 | +13 | |||
| 08 六月 | +11 | |||
| 07 六月 | +12 | |||
| 06 六月 | +5 | |||
| 05 六月 | +18 | |||
| 04 六月 | +9 | |||
| 03 六月 | +16 | |||
| 02 六月 | +29 | |||
| 01 六月 | +20 |
频道帖子
🎯 NousResearch/hermes-agent landed on trending. Worth a proper look.
🔗 https://github.com/NousResearch/hermes-agent
📝 The agent that grows with you
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Hermes Agent is a self-improving AI agent built by Nous Research. It has a built-in learning loop, allowing it to create skills from experience, improve them during use, and search its own past conversations. You can run it on various platforms, including a $5 VPS, a GPU cluster, or serverless infrastructure. The agent supports multiple models, such as
Nous Portal, OpenRouter, and Hugging Face, and can be controlled via Telegram, Discord, or the command line.
Key Features:
- Real terminal interface with multiline editing and conversation history
- Cross-platform conversation continuity
- Closed learning loop with autonomous skill creation and self-improvement
- Scheduled automations and built-in cron scheduler
- Runs anywhere, including local, Docker, SSH, Singularity, Modal, and Daytona
Technical Highlights:
- Python 3.11 and Node.js support
- uv and ripgrep for package management and searching
- ffmpeg for multimedia processing
Audience:
- Developers and researchers looking for a flexible and self-improving AI agent
- Individuals who want to automate tasks and improve their productivity
To get started, simply run curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash on Linux/macOS or iex (irm https://hermes-agent.nousresearch.com/install.ps1) on Windows. With Hermes Agent, you can create a personalized AI assistant that learns and adapts to your needs. The takeaway: Hermes Agent is the AI sidekick you never knew you needed, making automation and productivity a whole lot smarter.
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🧠 Channel: https://t.me/GithubRe| 2 | 🌟 kunchenguid/no-mistakes caught my eye on GitHub Trending today.
🔗 https://github.com/kunchenguid/no-mistakes
📝 git push no-mistakes
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no-mistakes is a revolutionary tool that helps you create clean pull requests with ease. By putting a local Git proxy in front of your remote repository, it runs an AI-driven validation pipeline that checks your code for errors and inconsistencies before allowing you to push your changes. The pipeline is non-blocking, meaning it won't disrupt your work, and is agent-agnostic, supporting various coding agents.
The key features of no-mistakes include:
* git push no-mistakes to trigger the validation pipeline
* no-mistakes to review and act on findings
* /no-mistakes to gate existing committed work or have your coding agent drive the flow headlessly
* Automatic fixes for safe issues and escalation of issues that require human review
Technical highlights include:
curl -fsSL https://raw.githubusercontent.com/kunchenguid/no-mistakes/main/docs/install.sh | sh
to install, and
no-mistakes init
to initialize the gate.
The target audience for no-mistakes is developers who want to ensure their code is clean and error-free before pushing it to the remote repository. With no-mistakes, you can say goodbye to sloppy code and hello to clean pull requests - git push no-mistakes and let the tool do the rest!
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🧠 Channel: https://t.me/GithubRe | 20 |
| 3 | 没有文字... | 18 |
| 4 | 💡 Flowseal/zapret-discord-youtube just hit the trending charts — here's why it matters.
🔗 https://github.com/Flowseal/zapret-discord-youtube
📝 No description.
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The zapret-discord-youtube GitHub repository offers a solution for bypassing restrictions on Discord, YouTube, and other online services. The repository provides a set of batch files and executables that utilize the WinDivert tool to intercept and filter traffic. To use this solution, you need to download the latest release, extract the archive to a folder without special characters, and run the desired batch file. The repository also includes a service.bat file for installing and managing the service.
Some key features of this repository include:
- Bypassing restrictions on Discord, YouTube, and other online services
- Utilizing the WinDivert tool for traffic interception and filtering
- Providing a set of batch files for easy execution
- Including a service.bat file for service management
Technical highlights include:
- Utilization of the WinDivert tool
- Support for Secure DNS
- Compatibility with various operating systems, including Windows 11
This solution is intended for users who need to bypass restrictions on online services, such as Discord and YouTube. However, users should be aware that antiviruses may flag the WinDivert tool as a potential threat.
Usage involves downloading and extracting the archive, running the desired batch file, and potentially installing the service using service.bat.
One-liner takeaway: zapret-discord-youtube provides a WinDivert-based solution for bypassing online restrictions, but requires careful configuration and awareness of potential antivirus issues.
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🧠 Channel: https://t.me/GithubRe | 20 |
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| 6 | 🌟 google-labs-code/design.md caught my eye on GitHub Trending today.
🔗 https://github.com/google-labs-code/design.md
📝 A format specification for describing a visual identity to coding agents. DESIGN.md gives agents a persistent, structured understanding of a design system.
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The DESIGN.md format is a specification for describing visual identities to coding agents. It combines machine-readable design tokens (YAML front matter) with human-readable design rationale (markdown prose). This format gives agents a persistent, structured understanding of a design system, allowing them to produce UI components with consistency and accuracy.
Key features of DESIGN.md include:
* Machine-readable design tokens for exact values
* Human-readable design rationale for context and application guidance
* Validation and linting to ensure structural correctness and detect errors
* Comparison and diffing to detect token-level changes between design system versions
* Export to other formats such as Tailwind config, CSS theme, and W3C Design Tokens Format
To get started with DESIGN.md, you can validate a file against the spec using the npx @google/design.md lint DESIGN.md command. You can also compare two versions of a design system using npx @google/design.md diff DESIGN.md DESIGN-v2.md.
The DESIGN.md format is suitable for designers, developers, and coding agents working on visual design systems. It provides a common language and structure for describing design elements, enabling collaboration and consistency across teams and projects.
In summary, DESIGN.md is a powerful tool for creating and managing visual design systems, and its format and CLI provide a robust foundation for design token interoperability. With DESIGN.md, you can "design once, code anywhere" and ensure consistency and accuracy in your UI components.
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🧠 Channel: https://t.me/GithubRe | 42 |
| 7 | 🎯 stablyai/orca landed on trending. Worth a proper look.
🔗 https://github.com/stablyai/orca
📝 Orca is the ADE for working with a fleet of parallel agents. Run any coding agent with your own subscription. Available on desktop and mobile.
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The Orca AI orchestrator is designed for 100x builders, allowing you to run multiple agents like Codex, ClaudeCode, and OpenCode in parallel worktrees. With Orca, you can monitor and control your agents from your phone using the mobile companion app, and utilize features like parallel worktrees, terminal splits, and design mode to streamline your workflow. The platform supports a wide range of agents, including Claude Code, Codex, and OpenCode, and offers a variety of tools like Orca CLI and GitHub & Linear integration. Whether you're a developer, researcher, or AI enthusiast, Orca provides a powerful and flexible platform for managing your AI workflows. Take your productivity to the next level with Orca - the ultimate AI orchestrator for builders.
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🧠 Channel: https://t.me/GithubRe | 52 |
| 8 | 没有文字... | 42 |
| 9 | 🚀 Meet andreknieriem/headunit-revived: a gem from today's GitHub trending list.
🔗 https://github.com/andreknieriem/headunit-revived
📝 Headunit App for displaying Android Auto
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The Headunit Revived project is an Android app that transforms your tablet or phone into an Android Auto receiver. It's a revived version of the original headunit project by Michael Reid. The app allows for wired USB connections and wireless connections via a companion app called Wireless Helper.
To use the app, simply connect your phone to the tablet running Headunit Revived via USB or wirelessly using the Wireless Helper app. The app supports various connection methods, including USB, Wi-Fi Direct, and Bluetooth.
Some key features include:
- Customizable UI with settings for pixel density, audio focus, and more
- Support for multiple languages, including English, Vietnamese, and Japanese
- Wireless connection options, including Wi-Fi Direct and Bluetooth
The app is suitable for power users who want to customize their Android Auto experience and for those who need a reliable wireless connection.
One-liner takeaway: Turn your Android device into an Android Auto receiver with Headunit Revived, a customizable and feature-rich app that simplifies your in-car entertainment experience.
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🧠 Channel: https://t.me/GithubRe | 55 |
| 10 | 没有文字... | 49 |
| 11 | 🔥 flutter/flutter is trending — and it deserves your attention.
🔗 https://github.com/flutter/flutter
📝 Flutter makes it easy and fast to build beautiful apps for mobile and beyond
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The Flutter project is Google's SDK for crafting beautiful, fast user experiences for mobile, web, and desktop from a single codebase. It's free, open-source, and works with existing code.
Key features include a layered architecture for control over every pixel on the screen, a set of widgets for pixel-perfect experiences, and support for customizing or creating new visual components.
To get started with Flutter, you can install Flutter and explore the Flutter documentation. The project is suitable for developers and organizations targeting iOS, Android, web, Windows, macOS, or Linux.
From a technical standpoint, Flutter is powered by hardware-accelerated 2D graphics libraries like Skia and Impeller, and it's built on top of the Dart programming language.
Flutter offers a range of tools and features to support productive development, including stateful hot reload, editor plug-ins, and tens of thousands of packages.
Overall, Flutter is a powerful and flexible framework for building fast, beautiful apps - and with its open development model, the possibilities are endless: build one app, deploy anywhere.
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🧠 Channel: https://t.me/GithubRe | 65 |
| 12 | 没有文字... | 59 |
| 13 | 📌 Spotted on GitHub Trending: revfactory/harness — let's break it down.
🔗 https://github.com/revfactory/harness
📝 A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.
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The revfactory/harness GitHub repository is home to Harness, a team-architecture factory for Claude Code that revolutionizes how complex tasks are approached by decomposing them into coordinated teams of specialized agents. With Harness, users can simply prompt Build a harness for this project and see their domain description transformed into an agent team and the skills they utilize, chosen from six pre-defined team-architecture patterns: Pipeline, Fan-out/Fan-in, Expert Pool, Producer-Reviewer, Supervisor, and Hierarchical Delegation.
Key Features include agent team design, skill generation with Progressive Disclosure for efficient context management, orchestration for inter-agent data passing and error handling, and validation through trigger verification, dry-run testing, and comparison tests. The plugin structure is well-organized, with a clear plugin.json manifest and skill directories for easy installation and use.
To start, users can install Harness via the marketplace with /plugin marketplace add revfactory/harness followed by /plugin install harness@harness-marketplace, or directly as a global skill. The workflow involves domain analysis, team architecture design, agent definition generation, skill generation, integration, and validation.
Harness is particularly useful for a variety of projects and tasks, including deep research, website development, webtoon/comic production, YouTube content planning, code review, technical documentation, data pipeline design, and marketing campaigns. It coexists with other tools like Archon for deterministic runtime configurations and meta-harness for Codex runtime, offering a comprehensive approach to team architecture and workflow management.
The takeaway? Harness is a game-changer for anyone working with complex tasks and agent teams, offering +60% average quality improvement and a 100% win rate in controlled experiments. So why not give it a try and see how Harness can transform your workflow? Build a harness for your next project and experience the power of structured team architecture!
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🧠 Channel: https://t.me/GithubRe | 80 |
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| 15 | 没有文字... | 66 |
| 16 | 🔍 Deep-diving into JCodesMore/ai-website-cloner-template — fresh off the trending list.
🔗 https://github.com/JCodesMore/ai-website-cloner-template
📝 Clone any website with one command using AI coding agents
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Ai Website Cloner Template is an innovative, open-source project that enables you to reverse-engineer any website into a clean, modern Next.js codebase using AI coding agents. This template is designed to work with a variety of AI agents, with Claude Code being the recommended choice for the best results.
To get started, simply create a copy of the template repository, install the dependencies, start your AI agent, and run the /clone-website skill with the target URL. The template will then inspect the site, extract design tokens and assets, write component specs, and dispatch parallel builders to reconstruct every section.
The project features a multi-phase pipeline that includes reconnaissance, foundation, component specs, parallel build, and assembly & QA. It supports various AI coding agents, including Claude Code, Codex CLI, and GitHub Copilot, among others.
The template is ideal for platform migration, lost source code, and learning purposes. However, it is not intended for phishing or impersonation, passing off someone's design as your own, or violating terms of service.
In terms of technical highlights, the project uses Next.js 16, React 19, and TypeScript strict, along with shadcn/ui and Tailwind CSS v4 for styling.
Overall, the Ai Website Cloner Template is a powerful tool that can help you create a modern, clean codebase for any website, and its potential impact on the web development community is significant.
You can clone any website with just one command: /clone-website - the future of web development just got a whole lot easier.
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🧠 Channel: https://t.me/GithubRe | 88 |
| 17 | 没有文字... | 78 |
| 18 | ⚡ interviewstreet/hiring-agent is making waves. Here's the full picture.
🔗 https://github.com/interviewstreet/hiring-agent
📝 AI agent to evaluate and score resumes.
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The Hiring Agent is a Resume-to-Score pipeline that extracts structured data from PDFs, enriches it with GitHub signals, and outputs a fair, explainable evaluation. It's designed to be used by recruiters, hiring managers, or anyone looking to streamline their candidate evaluation process.
The pipeline works by first converting a resume PDF to Markdown-like text using pymupdf_rag.py and pdf.py. It then uses a local or hosted Large Language Model (LLM) to extract sectioned JSON data. The data is further enriched with GitHub profile and repository signals using github.py.
The evaluation process involves running a strict-scored evaluation with fairness constraints using evaluator.py. The final output includes category scores, evidence, bonus points, and deductions.
To use the Hiring Agent, you'll need to install the required dependencies using pip install -r requirements.txt and set up your environment variables. You can choose to use either the Ollama or Gemini LLM provider.
One of the key technical highlights of the Hiring Agent is its use of Pydantic schemas and LLM provider interfaces in models.py. The pipeline also includes a set of Jinja templates for extraction and scoring, which can be found in the prompts/ directory.
Overall, the Hiring Agent is a powerful tool for anyone looking to automate their candidate evaluation process. With its flexible architecture and easy-to-use interface, it's an ideal solution for recruiters and hiring managers alike.
So, what are you waiting for? Automate your hiring process with the Hiring Agent and start finding the best candidates for your team!
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🧠 Channel: https://t.me/GithubRe | 95 |
| 19 | 💡 apple/container just hit the trending charts — here's why it matters.
🔗 https://github.com/apple/container
📝 A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon.
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The apple/container GitHub repo is home to a powerful tool that lets you create and run Linux containers on your Mac, leveraging the power of Apple silicon. Written in Swift, this tool is optimized for performance and supports OCI-compatible container images, making it easy to pull and run images from standard container registries.
To get started, you'll need a Mac with Apple silicon and macOS 26 or later. The container tool uses the Containerization Swift package for low-level management.
You can start, stop, and update the container system service using simple commands. The repo also provides a guided tour and technical overview to help you understand the tool's capabilities.
The project is under active development, and contributions are welcome. Whether you're a seasoned developer or just curious, container is definitely worth exploring. Here's a simple example of how to start the system service:
container system start
One-liner takeaway: Experience the power of Linux containers on your Mac with the apple/container tool, and take your development to the next level!
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🧠 Channel: https://t.me/GithubRe | 80 |
| 20 | 没有文字... | 66 |
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