Github Top Repositories
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Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.
Show more📈 Analytical overview of Telegram channel Github Top Repositories
Channel Github Top Repositories (@githubre) in the English language segment is an active participant. Currently, the community unites 15 233 subscribers, ranking 13 394 in the Education category and 26 058 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 15 233 subscribers.
According to the latest data from 07 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 379 over the last 30 days and by 11 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 0.92%. Within the first 24 hours after publication, content typically collects 0.62% reactions from the total number of subscribers.
- Post reach: On average, each post receives 140 views. Within the first day, a publication typically gains 95 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1.
- Thematic interests: Content is focused on key topics such as repository, fork, programming, statistic, description.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Top GitHub repositories in one place 🚀
Explore the best projects in programming, AI, data science, and more.”
Thanks to the high frequency of updates (latest data received on 08 November, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.
15 233
Subscribers
+1124 hours
+767 days
+37930 days
Posts Archive
15 231
🚀 Meet NousResearch/hermes-agent: a gem from today's GitHub trending list.
🔗 https://github.com/NousResearch/hermes-agent
📝 The agent that grows with you
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Hermes Agent is a self-improving AI agent that creates skills from experience, improves them during use, and builds a deepening model of the user across sessions. It can run on various platforms, including a $5 VPS, GPU cluster, or serverless infrastructure. Key features include a real terminal interface, cross-platform conversation continuity, a closed learning loop, scheduled automations, and delegates and parallelizes tasks.
hermes model allows switching between different models and providers, such as Nous Portal, OpenRouter, and Hugging Face, without code changes. The agent can be used via Telegram, Discord, Slack, WhatsApp, Signal, or the command-line interface.
To get started, users can run the curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash command for Linux, macOS, WSL2, or Termux, or use the PowerShell script for Windows. After installation, users can start chatting with the agent using hermes, configure tools with hermes tools, or set individual config values with hermes config set.
The target audience includes researchers, developers, and individuals interested in AI and self-improving systems. With its extensive documentation and contributing guide, Hermes Agent is an open and collaborative project.
In a nutshell, Hermes Agent is a cutting-edge AI tool that learns and adapts to its user, making it an exciting project to explore and contribute to - the future of AI is here, and it's conversational.
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🧠 Channel: https://t.me/GithubRe15 231
📌 Spotted on GitHub Trending: rasbt/LLMs-from-scratch — let's break it down.
🔗 https://github.com/rasbt/LLMs-from-scratch
📝 Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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Check out the rasbt/LLMs-from-scratch GitHub repo, the official code repository for the book "Build a Large Language Model (From Scratch)". This repo provides a step-by-step guide to developing, pretraining, and finetuning a GPT-like Large Language Model (LLM) from scratch.
The repo includes
code examples and exercises for each chapter, allowing you to practice and learn by coding. You can download the repository using git clone --depth 1 https://github.com/rasbt/LLMs-from-scratch.git or click the "Download ZIP" button.
Key features include:
- Implementing a GPT model from scratch
- Pretraining on unlabeled data
- Finetuning for text classification and instruction following
- Using PyTorch to implement the code
This repo is perfect for developers and researchers looking to build and understand LLMs.
The prerequisites include a strong foundation in Python programming and some experience with deep neural networks.
You can run the code on your laptop, and it will automatically utilize GPUs if available.
Build a Large Language Model from scratch and become a master of LLMs - the possibilities are endless!
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🧠 Channel: https://t.me/GithubRe15 231
💡 AUTOMATIC1111/stable-diffusion-webui just hit the trending charts — here's why it matters.
🔗 https://github.com/AUTOMATIC1111/stable-diffusion-webui
📝 Stable Diffusion web UI
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The Stable Diffusion web UI is a powerful tool that allows users to interact with the Stable Diffusion model through a user-friendly web interface. This interface offers a wide range of features, including
txt2img and img2img modes, outpainting, inpainting, and more. Users can also adjust parameters such as attention, sampling methods, and negative prompts to refine their results.
The UI is built using the Gradio library and supports various models, including Stable Diffusion 2.0 and Alt-Diffusion. It also includes features like batch processing, prompt editing, and a CLIP interrogator. The project is highly customizable, with options to change defaults, mix, and max values for UI elements via a text config.
To get started, users can follow the installation instructions for their specific operating system, including Windows, Linux, and Apple Silicon. The project also has a wiki with detailed documentation and a contributing guide for those who want to add code to the repository.
The Stable Diffusion web UI is perfect for artists, researchers, and anyone interested in exploring the capabilities of text-to-image models. With its intuitive interface and extensive features, it's an essential tool for anyone looking to push the boundaries of AI-generated art.
One-liner takeaway: The Stable Diffusion web UI is a game-changer for text-to-image generation, offering a user-friendly interface and a vast array of features to unlock your creativity.
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🧠 Channel: https://t.me/GithubRe
15 231
🔥 Lordog/dive-into-llms is trending — and it deserves your attention.
🔗 https://github.com/Lordog/dive-into-llms
📝 《动手学大模型Dive into LLMs》系列编程实践教程
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The "Dive into LLMs" GitHub repository, Lordog/dive-into-llms, offers a comprehensive programming practice guide for large language models (LLMs). The project, led by 张倬胜 from Shanghai Jiao Tong University, aims to provide a free, introductory programming reference for LLMs.
Key features include
微调与部署 (fine-tuning and deployment), 提示学习与思维链 (prompt learning and thinking chain), and 知识编辑 (knowledge editing). The repository also covers 数学推理 (mathematical reasoning), 模型水印 (model watermarking), and 越狱攻击 (jailbreak attacks).
To get started, users can explore the repository and follow the tutorials and scripts provided. The project is suitable for students, researchers, and developers looking to dive into LLMs.
Technical highlights include the use of Python and various libraries such as transformers and torch. The project also features a 国产化《大模型开发全流程》 (domestic LLM development course) in collaboration with Huawei.
The Lordog/dive-into-llms repository is a valuable resource for anyone interested in LLMs, with its comprehensive tutorials, scripts, and community-driven development.
Dive into LLMs and unlock the power of large language models - your AI journey starts here!
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🧠 Channel: https://t.me/GithubRe15 231
📌 Spotted on GitHub Trending: millionco/react-doctor — let's break it down.
🔗 https://github.com/millionco/react-doctor
📝 Your agent writes bad React. This catches it
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The millionco/react-doctor GitHub repository offers a diagnostic tool for React applications. Its primary purpose is to help developers identify and fix performance issues and bugs in their React code.
Key features include automatic detection of common problems and personalized recommendations for improvement.
To use react-doctor, simply install the package and run the doctor command in your project directory.
From a technical standpoint, the tool utilizes a set of predefined rules to analyze the application's code and provide meaningful insights.
The target audience includes React developers of all levels, from beginners to experienced professionals.
In short, react-doctor is a valuable resource for anyone looking to optimize their React application's performance: Debug your React apps like a pro with react-doctor!
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🧠 Channel: https://t.me/GithubRe
15 231
📌 Spotted on GitHub Trending: tinyhumansai/openhuman — let's break it down.
🔗 https://github.com/tinyhumansai/openhuman
📝 Your Personal AI super intelligence. Private, Simple and extremely powerful.
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OpenHuman is an open-source agentic assistant designed to integrate with your daily life, providing a simple and human-centric experience. It features a clean desktop interface, auto-fetch capabilities, and
118+ third-party integrations via OAuth. The assistant has a memory tree and an Obsidian wiki to store and summarize your data, allowing it to learn and remember your context in minutes.
To get started, you can download OpenHuman from the website or run the installation script using
curl -fsSL https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.sh | bash for MacOS/Linux or
irm https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.ps1 | iex for Windows.
Key highlights include smart token compression, messaging channels, and a focus on privacy and security. The project is suitable for individuals looking for a personal AI assistant and developers interested in contributing to an open-source project.
The ultimate goal of OpenHuman is to provide an assistant that can learn and remember your context in minutes, making it a powerful tool for anyone looking to streamline their daily tasks.
In a nutshell, OpenHuman is your personal AI superpower - private, simple, and extremely powerful.
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🧠 Channel: https://t.me/GithubRe
15 231
🔥 decolua/9router is trending — and it deserves your attention.
🔗 https://github.com/decolua/9router
📝 Unlimited FREE AI coding. Connect Claude Code, Codex, Cursor, Cline, Copilot, Antigravity to FREE Claude/GPT/Gemini via 40+ providers. Auto-fallback, RTK -40% tokens, never hit limits.
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The 9Router is a FREE AI router and token saver designed to help developers save up to 40% of their tokens while using AI coding tools. It supports
40+ AI providers and 100+ models, including Claude Code, Codex, and OpenCode. Key features include RTK token saver, auto-fallback to free and cheap models, and quota tracking.
To use 9Router, simply install it globally using npm install -g 9router, then connect a free provider like Kiro AI or OpenCode Free through the dashboard. You can then use 9Router with your favorite CLI tools, such as Claude Code or Codex, by setting the endpoint to http://localhost:20128/v1.
The 9Router is perfect for developers who want to save money and tokens while still having access to powerful AI models. Whether you're a beginner or an experienced developer, 9Router is a must-have tool for anyone looking to maximize their coding potential.
9Router is a game-changer for developers - never stop coding with 9Router!
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🧠 Channel: https://t.me/GithubRe
15 231
⚡ datawhalechina/easy-vibe is making waves. Here's the full picture.
🔗 https://github.com/datawhalechina/easy-vibe
📝 💻 vibe coding 2026 | Your first modern Coding course for beginners to master step by step.
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The datawhalechina/easy-vibe GitHub repository is a beginner-friendly platform that teaches you how to build apps by describing what you want. It's perfect for complete beginners, product managers, students, junior developers, and mid-level and senior developers looking to upgrade their AI collaboration workflow.
Key features include a beginner-friendly learning map, step-by-step visual tutorials, immersive simulated coding, and visible AI principles. You can choose from various learning paths, such as getting a fast first win, turning an idea into a product prototype, building full-stack products end to end, or learning advanced Claude Code and agent workflows.
To get started, you can start with a simple hands-on example or learn the learning roadmap and AI IDE tools.
The repository is constantly being updated with new features and content, including Vibe Stories, real user journeys, and expanded practice updates.
Here's a sample
code to get you started:
print("Hello, Easy-Vibe!")
15 231
🔍 Deep-diving into playcanvas/supersplat — fresh off the trending list.
🔗 https://github.com/playcanvas/supersplat
📝 3D Gaussian Splat Editor
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The SuperSplat Editor is a free, open-source tool for creating and editing 3D Gaussian Splats. It's built with web technologies, so you can use it right in your browser - no downloads or installations needed. Key features include inspecting, editing, optimizing, and publishing splats. To get started, you can use the
live version at https://superspl.at/editor or clone the repository and follow the local development steps.
For local development, ensure you have Node.js 18 or later installed, then clone the repository, install dependencies with npm install, and build SuperSplat with npm run develop. The editor also supports localizing to different languages - you can add a new language by creating a .json file in the static/locales directory and updating the localization.ts file.
The SuperSplat Editor is perfect for developers, designers, and anyone working with 3D graphics. With its user-friendly interface and robust features, it's an essential tool for anyone looking to create stunning visual effects.
One-liner takeaway: The SuperSplat Editor is a game-changer for 3D graphics creation - try it now and elevate your visual effects to the next level!
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🧠 Channel: https://t.me/GithubRe
15 231
⚡ yikart/AiToEarn is making waves. Here's the full picture.
🔗 https://github.com/yikart/AiToEarn
📝 Let's use AI to Earn!
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AiToEarn is an open-source platform that helps individuals and businesses monetize their content on multiple social media platforms. It provides a one-stop solution for creating, publishing, engaging, and earning money from content. The platform supports various social media channels, including TikTok, YouTube, Facebook, Instagram, and more.
Key features include AI-powered content creation, automated publishing, and engagement tools. Users can access AiToEarn through multiple methods, including a web interface, integration with other AI tools like Claude and Cursor, Docker deployment, or source code development.
Technical highlights include support for Node.js 20.18.x and a MIT license. The platform has a
docker-compose.yml file for easy deployment and a README.md file with detailed instructions.
git clone https://github.com/yikart/AiToEarn.git
cd AiToEarn
docker compose up -d
15 231
🔥 CloakHQ/CloakBrowser is trending — and it deserves your attention.
🔗 https://github.com/CloakHQ/CloakBrowser
📝 Stealth Chromium that passes every bot detection test. Drop-in Playwright replacement with source-level fingerprint patches. 30/30 tests passed.
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Meet CloakBrowser, a stealthy Chromium browser that evades bot detection tests. This game-changer is a real Chromium binary with modified fingerprints at the
C++ source level, making it indistinguishable from a normal browser.
Key features include:
- 49 source-level C++ patches for canvas, WebGL, audio, and more
- humanize=True for human-like mouse curves, keyboard timing, and scroll patterns
- Passing reCAPTCHA v3 with a score of 0.9 and Cloudflare Turnstile
- Auto-updating binary with background update checks
Usage is straightforward:
from cloakbrowser import launch
browser = launch()
page = browser.new_page()
page.goto("https://protected-site.com")
browser.close()import { launch } from 'cloakbrowser';
const browser = await launch();
const page = await browser.newPage();
await page.goto('https://protected-site.com');
await browser.close();15 231
🔥 bytedance/UI-TARS-desktop is trending — and it deserves your attention.
🔗 https://github.com/bytedance/UI-TARS-desktop
📝 The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra
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The UI-TARS-desktop GitHub repository is home to a multimodal AI agent stack, featuring two main projects: Agent TARS and UI-TARS-desktop. Agent TARS is a general multimodal AI agent that brings the power of GUI Agent and Vision into your terminal, computer, browser, and product. It offers a
CLI and Web UI for usage, aiming to provide a human-like task completion workflow through cutting-edge multimodal LLMs and seamless integration with various real-world tools.
UI-TARS Desktop is a desktop application that provides a native GUI Agent based on the UI-TARS model, supporting local and remote computer, as well as browser operators. Key features include one-click out-of-the-box CLI, hybrid browser agent, event stream, and MCP integration.
To get started, you can launch Agent TARS with npx @agent-tars/cli@latest or install it globally with npm install @agent-tars/cli@latest -g. The project is suitable for developers and users looking to explore the capabilities of multimodal AI agents.
In a nutshell, UI-TARS-desktop and Agent TARS are Revolutionizing Human-Computer Interaction, One Command at a Time!
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🧠 Channel: https://t.me/GithubRe
