Endi mavjud! Telegram Tadqiqoti 2025 — yilning asosiy insaytlari 
Github Top Repositories
Kanalga Telegram’da o‘tish
Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.
Ko'proq ko'rsatish📈 Telegram kanali Github Top Repositories analitikasi
Github Top Repositories (@githubre) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 13 260 obunachidan iborat bo'lib, Taʼlim toifasida 15 384-o'rinni va Hindiston mintaqasida 32 523-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 13 260 obunachiga ega bo‘ldi.
09 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 373 ga, so‘nggi 24 soatda esa 13 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 1.17% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.73% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 155 marta ko‘riladi; birinchi sutkada odatda 97 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 1 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent repository, fork, programming, statistic, description kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Top GitHub repositories in one place 🚀
Explore the best projects in programming, AI, data science, and more.”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 10 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
13 260
Obunachilar
+1324 soatlar
+737 kunlar
+37330 kunlar
Postlar arxiv
13 260
🔥 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/GithubRe13 260
📌 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
13 260
📌 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
13 260
🔥 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
13 260
⚡ 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!")
13 260
🔍 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
13 260
⚡ 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
13 260
🔥 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();13 260
🔥 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
13 260
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13 260
💡 datawhalechina/hello-agents just hit the trending charts — here's why it matters.
🔗 https://github.com/datawhalechina/hello-agents
📝 📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
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Hello-Agents is a comprehensive open-source project that provides a systemized guide to building AI agents from scratch. The project aims to help learners master the design and development of intelligent agent systems, from basic theories to practical applications.
Key Features:
- Provides a
systematic learning path for building AI agents
- Covers theoretical foundations and practical implementations
- Includes hands-on exercises and real-world projects
Technical Highlights:
- Focuses on AI-native agents driven by AI technologies
- Explores low-code platforms and framework development
- Discusses advanced topics such as memory, context engineering, and multi-agent systems
Audience:
- Suitable for AI developers, software engineers, and students with basic programming skills
- Ideal for self-learners interested in AI and agent technologies
Get started with Hello-Agents and become a master of building intelligent agent systems - join the community and start your journey today!
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🧠 Channel: https://t.me/GithubRe
13 260
🌟 affaan-m/everything-claude-code caught my eye on GitHub Trending today.
🔗 https://github.com/affaan-m/everything-claude-code
📝 The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
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The Everything Claude Code GitHub repository is a comprehensive performance optimization system for AI agent harnesses, built by an Anthropic hackathon winner. This system offers a wide range of features, including skills, instincts, memory optimization, continuous learning, security scanning, and research-first development. It is designed to work across various AI agent harnesses, such as
Claude Code, Codex, Cursor, and OpenCode.
The repository is packed with 140K+ stars, 21K+ forks, and 170+ contributors, making it a highly collaborative and popular project. It supports 12+ language ecosystems, including TypeScript, Python, Go, Java, and more.
To get started, users can follow the Shorthand Guide, Longform Guide, or Security Guide, which provide detailed instructions on setting up and using the system. The repository also includes a variety of tools and skills to help users optimize their AI agent harnesses.
The latest version, v2.0.0-rc.1, introduces a new dashboard GUI, operator workflows, and ECC 2.0 alpha. It also includes updates to the framework and product surface, making it more versatile and user-friendly.
Overall, the Everything Claude Code repository is an excellent resource for anyone looking to optimize their AI agent harnesses and improve their performance. With its comprehensive features, collaborative community, and detailed guides, it's an ideal choice for developers and researchers alike.
One-liner takeaway: Everything Claude Code is the ultimate performance optimization system for AI agent harnesses, offering a wide range of features, tools, and skills to help users unlock their full potential.
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🧠 Channel: https://t.me/GithubRe