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 13 278 obunachidan iborat bo'lib, Taʼlim toifasida 15 356-o'rinni va Hindiston mintaqasida 32 458-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 13 278 obunachiga ega bo‘ldi.
10 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 387 ga, so‘nggi 24 soatda esa 25 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 1.12% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.74% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 148 marta ko‘riladi; birinchi sutkada odatda 98 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 11 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.
13 278
Obunachilar
+2524 soatlar
+867 kunlar
+38730 kunlar
Postlar arxiv
13 278
📌 Spotted on GitHub Trending: NousResearch/hermes-agent — let's break it down.
🔗 https://github.com/NousResearch/hermes-agent
📝 The agent that grows with you
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The Hermes Agent is a self-improving AI agent that creates skills from experience, improves them during use, and builds a deepening model of who you are across sessions. It's designed to be flexible, allowing you to use any model you want, such as Nous Portal, OpenRouter, or Hugging Face, and switch between them with ease using the
hermes model command.
The agent has a range of key features, including a real terminal interface, the ability to live where you do (e.g., Telegram, Discord, Slack), a closed learning loop, scheduled automations, and the ability to delegate and parallelize tasks. It also has a range of technical highlights, including support for six terminal backends and the ability to run on a variety of infrastructure, from a $5 VPS to a GPU cluster.
The Hermes Agent is suitable for a range of users, from developers to researchers, and is designed to be easy to use and customize. With its flexible architecture and range of features, it's an ideal tool for anyone looking to build a self-improving AI agent.
To get started with the Hermes Agent, you can install it using a simple one-liner command, and then start chatting with it using the hermes command. You can also customize the agent's behavior using a range of configuration options and tools.
One punchy takeaway: With the Hermes Agent, you can have a self-improving AI assistant that learns and adapts to your needs, all at a cost that's nearly nothing when idle.
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🧠 Channel: https://t.me/GithubRe13 278
💡 Leonxlnx/taste-skill just hit the trending charts — here's why it matters.
🔗 https://github.com/Leonxlnx/taste-skill
📝 Taste-Skill - gives your AI good taste. stops the AI from generating boring, generic slop
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The Taste Skill repository offers a collection of portable agent skills designed to upgrade AI-built interfaces with stronger layout, typography, motion, and spacing. These skills can be used with various coding agents like ChatGPT, Codex, or Claude Code. The repo includes
image-generation skills for creating reference boards, which can be paired with image generators and then implemented using coding agents.
To use Taste Skill, simply install the desired skill using npx skills add https://github.com/Leonxlnx/taste-skill --skill "skill-name". The repository features multiple specialized variants, adjustable dials, and anti-repetition rules, making it a unique solution for AI design.
The skills are framework-agnostic and work with popular frameworks like React, Vue, and Svelte. The repository also includes a research directory with background writing that shaped the skills, as well as a CHANGELOG that details the updates and changes.
Taste Skill is suitable for developers, designers, and anyone looking to improve their AI-built interfaces. With its easy installation process and versatile skills, it's an excellent tool for enhancing the design and functionality of various projects.
In short, Taste Skill is a game-changer for AI design, and its punchy one-liner takeaway is: Level up your AI-built interfaces with Taste Skill - where design meets code!
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🧠 Channel: https://t.me/GithubRe
13 278
💡 opencv/opencv just hit the trending charts — here's why it matters.
🔗 https://github.com/opencv/opencv
📝 Open Source Computer Vision Library
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The OpenCV library is a powerful open-source computer vision tool that enables developers to build a wide range of applications, from image and video processing to object detection and tracking. With its extensive documentation and large community of contributors, OpenCV provides a comprehensive framework for computer vision and machine learning.
To get started, you can explore the
official documentation and tutorials on the OpenCV website. The library is written in C++ and has interfaces for Python, Java, and other languages.
Whether you're a student, researcher, or developer, OpenCV has something to offer. So why not join the community and start building your own computer vision projects today? OpenCV is the key to unlocking the power of computer vision - start coding and see what you can create!
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🧠 Channel: https://t.me/GithubRe13 278
📌 Spotted on GitHub Trending: mvanhorn/last30days-skill — let's break it down.
🔗 https://github.com/mvanhorn/last30days-skill
📝 AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
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Last30Days Skill is a revolutionary search engine that uses AI to synthesize information from various sources like Reddit, X, YouTube, and GitHub, scoring it by what real people engage with, not editors. It's like having a superpower that helps you stay up-to-date on the latest developments in any field.
To use it, simply type
/last30days [topic] and the AI agent will search all relevant sources in parallel, synthesizing the information into a brief. No more tedious searching or outdated information.
The skill has many features, including shareable HTML briefs, intelligent search that understands your topic before searching, and cross-source cluster merging that combines similar stories from different sources.
It's perfect for researchers, entrepreneurs, and anyone who wants to stay informed. Whether you're looking for information on a person, company, or topic, Last30Days Skill is the ultimate tool for you.
With its ability to search multiple sources at once and synthesize the information into a concise brief, Last30Days Skill is an indispensable tool for anyone looking to stay ahead of the curve. Get the latest scoop in seconds, not hours.
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🧠 Channel: https://t.me/GithubRe13 278
🔥 github/copilot-sdk is trending — and it deserves your attention.
🔗 https://github.com/github/copilot-sdk
📝 Multi-platform SDK for integrating GitHub Copilot Agent into apps and services
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The Github Copilot SDK is a set of APIs that allows you to integrate the capabilities of Github Copilot into your own applications. With this SDK, you can embed Copilot's agentic workflows into your app and invoke them programmatically. The SDK exposes the same engine as the Copilot CLI, handling planning, tool invocation, and file edits.
The SDK supports multiple programming languages, including Node.js/TypeScript, Python, Go, .NET, Java, and Rust. You can install the SDK using the respective package managers, such as
npm install @github/copilot-sdk for Node.js or pip install github-copilot-sdk for Python.
To get started, you can follow the Getting Started Guide, which provides a walkthrough of the installation and usage process. The SDK also provides a range of features, including support for custom agents, skills, and tools, as well as BYOK (Bring Your Own Key) for using your own API keys.
The SDK is designed to be production-ready and follows semantic versioning. If you encounter any issues or have feature requests, you can report them on the Github Issues page.
In summary, the Github Copilot SDK is a powerful tool for integrating Copilot's capabilities into your own applications, with support for multiple programming languages and a range of features. With this SDK, you can unlock the full potential of Copilot and take your development to the next level.
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🧠 Channel: https://t.me/GithubRe
13 278
📌 Spotted on GitHub Trending: jwasham/coding-interview-university — let's break it down.
🔗 https://github.com/jwasham/coding-interview-university
📝 A complete computer science study plan to become a software engineer.
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Coding Interview University is a comprehensive study plan to help you prepare for a technical interview at top software companies like Amazon, Facebook, Google, and Microsoft. Created by John Washam, this plan covers the essential topics you need to know, from data structures and algorithms to system design and scalability.
To get started,
choose a programming language and begin with the basics, such as variables, loops, and methods. The plan includes a daily study schedule and practice coding questions to help you stay on track.
Key features of this plan include:
- Step-by-step learning: Break down complex topics into manageable chunks
- Practice coding questions: Reinforce your understanding with hands-on exercises
- Study schedule: Stay organized and focused with a daily plan
Technical highlights of this plan include:
- Algorithmic complexity: Understand Big-O notation and asymptotic analysis
- Data structures: Learn about arrays, linked lists, stacks, queues, and hash tables
- System design: Study scalability, data handling, and system architecture
This plan is designed for anyone looking to improve their coding skills, from beginners to experienced engineers. Don't be intimidated if you're new to coding - this plan will guide you through the process.
In short, Coding Interview University is your one-stop resource for preparing for technical interviews. With dedication and practice, you'll be well on your way to landing your dream job - so start coding and crush that interview!
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🧠 Channel: https://t.me/GithubRe13 278
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13 278
🚀 Meet aquasecurity/trivy: a gem from today's GitHub trending list.
🔗 https://github.com/aquasecurity/trivy
📝 Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
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Trivy is a versatile security scanner that detects vulnerabilities, misconfigurations, and secrets in various targets, including container images, filesystems, and Kubernetes. Its scanners can identify issues such as OS packages, software dependencies, and sensitive information.
trivy supports multiple programming languages, operating systems, and platforms. To get started, you can install Trivy using brew install trivy or docker run aquasec/trivy, then use the trivy command to scan your target, like trivy image python:3.4-alpine or trivy fs --scanners vuln,secret,misconfig myproject/. Trivy is designed for developers, security teams, and DevOps engineers who want to ensure the security and integrity of their systems. With its extensive features and integrations, Trivy is a powerful tool for anyone looking to strengthen their security posture - and that's a trivy worth trying!
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🧠 Channel: https://t.me/GithubRe
13 278
⚡ openclaw/openclaw-windows-node is making waves. Here's the full picture.
🔗 https://github.com/openclaw/openclaw-windows-node
📝 Windows companion suite for OpenClaw - System Tray app, Shared library, Node, and PowerToys Command Palette extension
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The openclaw-windows-node repository is a native Windows companion suite for OpenClaw, an AI-powered personal assistant. This monorepo contains the Windows hub, shared client libraries, and CLI utilities. Key features include a system tray application with a modern UI, quick send functionality via global hotkey, and auto-updates from GitHub Releases. To use, simply download the latest stable installer, or build from source using the provided
build.ps1 script.
Technical highlights include support for Windows 10 and 11, .NET 10.0 SDK, and WebView2 Runtime. The repository also includes a CLI validator for testing gateway connectivity and WebSocket send/probe functionality. The target audience is developers and users of the OpenClaw AI assistant who want a native Windows experience.
In a nutshell, openclaw-windows-node brings the power of OpenClaw to Windows, with a sleek and modern interface, and a robust set of features that make it an ideal companion for anyone looking to take their productivity to the next level - so why not claw your way to the top with OpenClaw on Windows?
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🧠 Channel: https://t.me/GithubRe
13 278
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13 278
🔥 withastro/flue is trending — and it deserves your attention.
🔗 https://github.com/withastro/flue
📝 The sandbox agent framework.
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Flue is The Agent Harness Framework, a TypeScript framework for building the next generation of agents, designed around a built-in agent harness. It allows you to create autonomous agents that can solve problems and complete tasks with minimal code, using Markdown for skills, context, and configuration.
Key features include a runtime-agnostic framework, allowing deployment on various platforms such as Node.js, Cloudflare, and GitHub Actions. The framework provides a virtual sandbox for faster and more scalable agent execution, as well as support for container-based sandboxes for more complex environments.
To use Flue, you can create an agent by importing the necessary modules and defining a workflow handler, which orchestrates the agent's actions. You can also use the
flue CLI to build, run, and deploy your agents.
Flue is suitable for developers and teams looking to build autonomous agents that can interact with various systems and services. It provides a flexible and extensible framework for creating customized agents that can be integrated into different applications and workflows.
One-liner takeaway: Flue empowers you to build autonomous agents that can run anywhere, interact with anything, and learn from everything.
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🧠 Channel: https://t.me/GithubRe13 278
⚡ MemPalace/mempalace is making waves. Here's the full picture.
🔗 https://github.com/MemPalace/mempalace
📝 The best-benchmarked open-source AI memory system. And it's free.
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MemPalace is a local-first AI memory solution that stores conversation history as verbatim text and retrieves it with semantic search. It features a pluggable backend, with ChromaDB as the default, and supports alternative backends like SQLite, Qdrant, and Postgres.
Key highlights include zero API calls, a temporal entity-relationship graph, and support for MCP tools and agents.
mempalace can be installed using uv tool install or pipx install, and a Docker image is also available.
The project provides a CLI for mining content, searching, and loading context, with a quickstart guide available. Benchmarks demonstrate high retrieval recall rates, including 96.6% R@5 on LongMemEval.
Technical requirements include Python 3.9+, a vector-store backend, and approximately 300 MB disk space for the embedding model.
The target audience appears to be developers and users interested in local-first AI memory solutions, with a focus on those already familiar with tools like Claude Code.
In short, MemPalace is a powerful tool for local-first AI memory, and its flexibility and customizability make it an attractive choice for those seeking a robust and private solution - take control of your memories with MemPalace, where your data stays local and private.
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🧠 Channel: https://t.me/GithubRe13 278
🚀 Meet openai/plugins: a gem from today's GitHub trending list.
🔗 https://github.com/openai/plugins
📝 OpenAI Plugins
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The openai/plugins repository is a treasure trove of Codex plugin examples, each with its own unique features and use cases. At its core, the repository contains a collection of plugins, each living in its own directory with a
plugin.json manifest file. You'll find a range of plugins, from figma and notion to build-ios-apps and build-web-apps, each with its own set of capabilities and companion files. Whether you're looking to automate tasks, streamline workflows, or just explore the possibilities of Codex, this repository has something for you. With its diverse range of plugins and examples, it's perfect for developers, power users, and anyone looking to get the most out of Codex. Dive in and discover the power of plugins - your automation possibilities just got a whole lot bigger!
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🧠 Channel: https://t.me/GithubRe13 278
🚀 Meet PaddlePaddle/PaddleOCR: a gem from today's GitHub trending list.
🔗 https://github.com/PaddlePaddle/PaddleOCR
📝 Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
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PaddleOCR is a leading OCR toolkit and document AI engine that converts PDF documents and images into structured data with high accuracy. Its key features include intelligent document parsing, universal text recognition, and a developer-centric ecosystem. The
PaddleOCR-VL-1.6 model achieves 96.3% accuracy on OmniDocBench v1.6 and supports 100+ languages. The toolkit is designed for production-ready efficiency and is trusted by top-tier projects. With 70k+ Stars and a strong community, PaddleOCR is the go-to choice for building intelligent applications. Get started with PaddleOCR today and unlock the power of document AI.
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🧠 Channel: https://t.me/GithubRe
