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 13 272 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, 13 272 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.
13 272
Obunachilar
+2524 soatlar
+867 kunlar
+38730 kunlar
Postlar arxiv
13 272
🌟 aaif-goose/goose caught my eye on GitHub Trending today.
🔗 https://github.com/aaif-goose/goose
📝 an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
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Meet goose, your native open source AI agent that runs on your machine, helping you with code, research, writing, automation, and more. It's available as a desktop app for macOS, Linux, and Windows, a full CLI for terminal workflows, and an API to embed it anywhere.
goose is built in Rust for performance and portability, and it works with 15+ providers, including Anthropic, OpenAI, and Google. You can connect to 70+ extensions via the Model Context Protocol open standard. To get started, you can download the desktop app or install the CLI using a simple script:
curl -fsSL https://github.com/aaif-goose/goose/releases/download/stable/download_cli.sh | bash13 272
💡 luongnv89/claude-howto just hit the trending charts — here's why it matters.
🔗 https://github.com/luongnv89/claude-howto
📝 A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
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The luongnv89/claude-howto GitHub repository is a comprehensive, structured guide to mastering Claude Code. It's designed to help you go from basic usage to orchestrating agents, hooks, skills, and MCP servers in a weekend. The guide features visual tutorials,
copy-paste templates, and a guided learning path that takes you from beginner to power user in 11-13 hours.
Key features include:
* 10 tutorial modules covering every Claude Code feature
* Copy-paste configs for slash commands, CLAUDE.md templates, hook scripts, MCP configs, subagent definitions, and full plugin bundles
* Mermaid diagrams showing how each feature works internally
* A guided learning path with time estimates and interactive quizzes to identify knowledge gaps
The guide is suitable for developers of all levels, from those who have just installed Claude Code to experienced users looking to combine features into workflows. It's actively maintained, compatible with Claude Code 2.1+, and available under the MIT license, making it free to use forever.
To get started, you can clone the repository, copy a slash command template, and try it in 15 minutes. The guide also includes a 1-hour essential setup to get you up and running quickly.
In summary, luongnv89/claude-howto is the ultimate resource for unlocking Claude Code's full potential, and with it, you can master Claude Code in a weekend and take your productivity to the next level - start learning now and 10x your productivity!
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🧠 Channel: https://t.me/GithubRe13 272
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13 272
📌 Spotted on GitHub Trending: TapXWorld/ChinaTextbook — let's break it down.
🔗 https://github.com/TapXWorld/ChinaTextbook
📝 所有小初高、大学PDF教材。
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ChinaTextbook is a GitHub repository that provides free access to Chinese textbooks, promoting equal access to education. The repository includes textbooks for elementary school, junior high school, high school, and university levels, covering subjects like mathematics.
To use the repository, simply browse through the folders and download the desired textbooks. Note that some files are split into smaller parts due to GitHub's upload size limits. To merge these files, you can use the
mergePDFs-windows-amd64.exe program provided in the repository.
The project encourages open-source contributions and community involvement. You can support the project by donating or joining their Telegram community to stay updated on the latest developments.
One-liner takeaway: ChinaTextbook is a valuable resource for anyone looking for free access to Chinese educational materials, promoting education equality and open access to knowledge.
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🧠 Channel: https://t.me/GithubRe13 272
🔥 CopilotKit/CopilotKit is trending — and it deserves your attention.
🔗 https://github.com/CopilotKit/CopilotKit
📝 The Frontend Stack for Agents & Generative UI. React, Angular, Mobile, Slack, and more. Makers of the AG-UI Protocol
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CopilotKit is a multi-platform agentic framework that enables you to build full-stack agentic applications, Generative UI, and chat applications. The framework allows agents to power your web app, mobile app, and team's Slack workspace. It features a chat UI, backend tool rendering, generative UI, shared state, and human-in-the-loop workflows. CopilotKit supports various platforms, including React, Angular, Vue, and React Native.
The framework is built on top of the
AG-UI Protocol, which is adopted by major companies like Google, LangChain, AWS, Microsoft, Mastra, and PydanticAI. CopilotKit provides a range of tools and features, including a useAgent hook, generative UI, and self-learning agents. The framework is designed to be easy to use, with a simple installation process and a comprehensive documentation.
CopilotKit is suitable for developers, product teams, and companies looking to build agentic applications and integrate AI into their products. The framework is constantly evolving, with new features and updates being added regularly. To get started with CopilotKit, you can install it using npx copilotkit@latest create -f <framework> or npx copilotkit@latest init for existing projects.
With CopilotKit, you can add AI to your app in just 1 minute and unlock the power of agentic applications. Build the future of AI-powered applications with CopilotKit - where agents meet applications.
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🧠 Channel: https://t.me/GithubRe
13 272
💡 roboflow/supervision just hit the trending charts — here's why it matters.
🔗 https://github.com/roboflow/supervision
📝 We write your reusable computer vision tools. 💜
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Supervision is a Python library for building computer vision applications. Its purpose is to provide a simple and efficient way to work with computer vision models, datasets, and annotations. The library offers key features such as model-agnostic detection, segmentation, and classification, as well as tools for data loading, splitting, and merging.
To use Supervision, you can install it via pip:
pip install supervision. The library supports various models and datasets, including Ultralytics, Transformers, and MMDetection, and provides connectors for popular libraries.
Technical highlights of Supervision include its ability to load and annotate images and videos, as well as its support for customizable annotators. The library is designed for data scientists and machine learning engineers who want to build and deploy computer vision applications quickly and efficiently.
In summary, Supervision is a powerful library that simplifies computer vision development - build computer vision apps faster with Supervision.
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🧠 Channel: https://t.me/GithubRe
13 272
💡 MemPalace/mempalace just hit the trending charts — here's why it matters.
🔗 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_exact, qdrant, and pgvector.
To get started, users can install MemPalace using
uv tool install mempalace or pipx install mempalace, then initialize it with mempalace init ~/projects/myapp. The mempalace mine command is used to mine content into the palace, while mempalace search retrieves relevant information.
MemPalace boasts an impressive 96.6% R@5 raw on the LongMemEval benchmark, with no API calls required. It also includes a temporal entity-relationship graph and supports MCP tools for palace reads/writes, knowledge-graph operations, and more.
The target audience for MemPalace includes developers, researchers, and individuals seeking a robust, local-first AI memory solution.
Overall, MemPalace offers a powerful and flexible solution for storing and retrieving conversation history, making it an excellent choice for those seeking a reliable and efficient AI memory system.
Takeaway: MemPalace revolutionizes local-first AI memory, making it a game-changer for anyone seeking to harness the power of semantic search.
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🧠 Channel: https://t.me/GithubRe13 272
🎯 Andyyyy64/whichllm landed on trending. Worth a proper look.
🔗 https://github.com/Andyyyy64/whichllm
📝 Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly.
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whichllm is a handy tool that helps you find the best local LLM (Large Language Model) that can run on your hardware. It auto-detects your GPU, CPU, and RAM, and then ranks the top models from HuggingFace that fit your system. You can use it to simulate a GPU before buying, compare upgrade candidates, and even start a chat with a model.
The tool uses evidence-based ranking, not just size heuristics, to choose the top pick. It also considers recency-aware scores, so stale leaderboards are demoted. You can use
whichllm to get a copy-paste Python snippet for any model, and it supports various model formats like GGUF, AWQ, and GPTQ.
Technical highlights include architecture-aware estimates, live data from the HuggingFace API, and a simple, scriptable command-line interface. whichllm is designed for developers, researchers, and anyone who wants to work with LLMs.
To get started, simply run uvx whichllm@latest or install it using brew install andyyyy64/whichllm/whichllm or pip install whichllm.
Here's a punchy one-liner takeaway: With whichllm, you can easily find the perfect LLM for your hardware and start building amazing AI projects!
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🧠 Channel: https://t.me/GithubRe
13 272
⚡ openai/plugins is making waves. Here's the full picture.
🔗 https://github.com/openai/plugins
📝 OpenAI Plugins
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The openai/plugins repository is a treasure trove of community-driven innovation, hosting a wide range of Codex plugin examples to streamline your workflow. Each plugin is carefully organized under its own directory, complete with a
plugin.json manifest and optional supporting files like skills/, agents/, and assets/.
Some highlighted examples include plugins for Figma, Notion, iOS and macOS app development, web apps, Expo, and more. These plugins are designed to make your life easier, whether you're working on design systems, planning and research, or building and deploying apps.
The technical details are straightforward: each plugin has a required plugin.json file and may include additional files and directories. For example, a plugin might include a hooks.jsonagents/ directory for custom agent implementations.
This repository is perfect for developers, designers, and makers looking to tap into the power of Codex and automate their workflows.
In short, the openai/plugins repository is your one-stop shop for unlocking Codex's full potential - join the community and start building today!
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🧠 Channel: https://t.me/GithubRe13 272
💡 phuryn/pm-skills just hit the trending charts — here's why it matters.
🔗 https://github.com/phuryn/pm-skills
📝 PM Skills Marketplace: 100+ agentic skills, commands, and plugins — from discovery to strategy, execution, launch, and growth.
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The pm-skills GitHub repository is a game-changer for product managers, offering a comprehensive AI-powered operating system for making better product decisions. With 68 PM skills and 42 chained workflows across 9 plugins, this marketplace provides a structured approach to product management, covering discovery, strategy, execution, launch, growth, and shipping AI-built code.
The
skills are the building blocks, encoding proven PM frameworks and guiding users through specific tasks. Commands chain one or more skills into end-to-end processes, while plugins group related skills and commands into installable packages.
To get started, users can install the marketplace using Claude Cowork or Claude Code, or even use the skills with other AI assistants like Codex, Gemini CLI, OpenCode, Cursor, or Kiro.
The repository includes a range of plugins, such as pm-product-discovery, pm-product-strategy, and pm-execution, each with its own set of skills and commands. For example, the /discover command chains four skills together: brainstorm-ideas, identify-assumptions, prioritize-assumptions, and brainstorm-experiments.
In summary, the pm-skills repository empowers product managers to make better product decisions with its comprehensive AI-powered operating system - Upgrade your product management workflow with pm-skills and start making data-driven decisions today!
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🧠 Channel: https://t.me/GithubRe
13 272
🚀 Meet santifer/career-ops: a gem from today's GitHub trending list.
🔗 https://github.com/santifer/career-ops
📝 AI-powered job search system built on Claude Code. 14 skill modes, Go dashboard, PDF generation, batch processing.
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The Career-Ops system is an open-source, AI-powered job search command center that helps candidates find their dream roles. It evaluates job listings, generates tailored CVs, and scans company portals for new offers. With its
6-block evaluation system and negotiation scripts, Career-Ops provides a comprehensive approach to job searching.
The system is agentic, using AI to navigate career pages, evaluate fit, and adapt resumes per listing. It's built with technologies like Claude Code, OpenCode, and Gemini CLI, and supports Node.js and Go.
To get started, users can clone and install the repository, configure their profiles, and add their CVs. The system is designed to be customized by Claude Code itself, allowing users to change modes, archetypes, and scoring weights.
The key features of Career-Ops include auto-pipeline, interview story bank, and pipeline integrity. It also supports Gemini CLI integration and provides a dashboard TUI for browsing and filtering the pipeline.
In summary, Career-Ops is a powerful tool for job seekers, providing a personalized and efficient approach to finding their dream roles: it's like having a personal recruiter in your pocket.
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🧠 Channel: https://t.me/GithubRe
13 272
🚀 Meet danielmiessler/Personal_AI_Infrastructure: a gem from today's GitHub trending list.
🔗 https://github.com/danielmiessler/Personal_AI_Infrastructure
📝 Agentic AI Infrastructure for magnifying HUMAN capabilities.
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Introduction to Personal AI Infrastructure (PAI): PAI is a Life Operating System designed to capture your identity, goals, and work, and help you reach your ideal state using AI. It's built around three layers: PAI (the OS), Pulse (the Life Dashboard), and the DA (your Digital Assistant).
Key Features: PAI uses a
filesystem as context, avoiding opaque storage, and is built with context scaffolding to feed models the right context. It has a self-improvement loop to capture signals and improve itself, and a custom algorithm to drive the current → ideal state transition.
Technical Highlights: PAI uses TypeScript, Bun, and Claude to provide a robust and scalable platform. It has a skill system with deterministic code execution and a library of thinking skills to raise the quality of decisions.
Usage and Audience: PAI is designed for individuals, teams, or companies looking to articulate their ideal state and move towards it. It's suitable for anyone who wants to harness the power of AI to improve their life and work.
Getting Started: You can install PAI using the one-line install command: curl -sSL https://ourpai.ai/install.sh | bash. The project is in active development, so expect frequent updates and breaking changes.
Takeaway: PAI is a powerful tool that can help you magnify your life and work with AI - and the best part is, it's designed to be operated by your AI, making it a true Life Operating System.
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🧠 Channel: https://t.me/GithubRe13 272
⚡ Panniantong/Agent-Reach is making waves. Here's the full picture.
🔗 https://github.com/Panniantong/Agent-Reach
📝 Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
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Agent Reach is a tool that empowers your AI Agent with internet capabilities, allowing it to read web pages, search Twitter, watch YouTube videos, and more. It's designed to simplify the process of configuring and using various online tools with your AI Agent. With
Agent Reach, you can easily install and update tools like twitter-cli, yt-dlp, and rdt-cli, and access various online platforms without needing to manually configure them. The tool is completely free and open-source, with a focus on security and privacy. It's compatible with all AI Agents that can run shell commands, including Claude Code, OpenClaw, Cursor, and Windsurf. To get started, simply tell your AI Agent to 安装 Agent Reach and follow the prompts. Star this project to support its development and maintenance. One-liner takeaway: Agent Reach simplifies internet access for your AI Agent, making it easy to search, read, and interact with online content.
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🧠 Channel: https://t.me/GithubRe
13 272
🌟 refactoringhq/tolaria caught my eye on GitHub Trending today.
🔗 https://github.com/refactoringhq/tolaria
📝 Desktop app to manage markdown knowledge bases
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Tolaria is a desktop app for managing markdown knowledge bases. It's designed for people who want to organize their notes, documents, and knowledge in a flexible and portable way. With Tolaria, you can create a second brain for your personal knowledge, organize company documents, or even store memory and procedures for AI assistants.
The app is built around several key principles, including files-first, git-first, and offline-first, which ensure that your data is always portable and under your control. Tolaria also supports keyboard-first navigation and is designed for power users who want to get the most out of their workflow.
To get started with Tolaria, you can install it via Homebrew on macOS or download the latest release for macOS, Windows, or Linux. The app is open source and built with Tauri, React, and TypeScript, making it easy to contribute to or run locally.
Some of the
technical highlights of Tolaria include its use of markdown files with YAML frontmatter, support for git version control, and a keyboard-first design. The app is also highly customizable, with support for AI agents and a command palette for power users.
Overall, Tolaria is a powerful tool for anyone who wants to manage their knowledge and notes in a flexible and portable way. Whether you're a power user or just looking for a simple way to organize your thoughts, Tolaria is definitely worth checking out.
Takeaway: Tolaria is the ultimate second brain app for anyone who wants to manage their knowledge and notes in a flexible, portable, and powerful way.
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🧠 Channel: https://t.me/GithubRe