Github Top Repositories
Photo
💡 roboflow/supervision just hit the trending charts — here's why it matters.
🔗 https://github.com/roboflow/supervision
📝 We write your reusable computer vision tools. 💜
──────────────────────────────
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:
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.
──────────────────────────────
🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/roboflow/supervision
📝 We write your reusable computer vision tools. 💜
──────────────────────────────
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.
──────────────────────────────
🧠 Channel: https://t.me/GithubRe
Github Top Repositories
Photo
🔥 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
──────────────────────────────
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
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
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.
──────────────────────────────
🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/CopilotKit/CopilotKit
📝 The Frontend Stack for Agents & Generative UI. React, Angular, Mobile, Slack, and more. Makers of the AG-UI Protocol
──────────────────────────────
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.
──────────────────────────────
🧠 Channel: https://t.me/GithubRe
📌 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。
──────────────────────────────
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
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.
──────────────────────────────
🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/TapXWorld/ChinaTextbook
📝 所有小初高、大学PDF教材。
──────────────────────────────
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.
──────────────────────────────
🧠 Channel: https://t.me/GithubRe
💡 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.
──────────────────────────────
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,
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
*
* 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
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!
──────────────────────────────
🧠 Channel: https://t.me/GithubRe
🔗 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.
──────────────────────────────
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!
──────────────────────────────
🧠 Channel: https://t.me/GithubRe
🌟 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
──────────────────────────────
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 perfect for developers, researchers, and anyone looking for a versatile AI agent. So, why wait? Join the goose community today and start "migrating" your workflows to the next level - goose is the ultimate AI sidekick that will help you "fly" through your tasks!
──────────────────────────────
🧠 Channel: https://t.me/GithubRe
🔗 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
──────────────────────────────
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 | bash
goose is perfect for developers, researchers, and anyone looking for a versatile AI agent. So, why wait? Join the goose community today and start "migrating" your workflows to the next level - goose is the ultimate AI sidekick that will help you "fly" through your tasks!
──────────────────────────────
🧠 Channel: https://t.me/GithubRe
🌟 mvanhorn/last30days-skill caught my eye on GitHub Trending today.
🔗 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
──────────────────────────────
The last30days-skill is an AI agent-led search engine that scores results by upvotes, likes, and real money, rather than editors. It searches across multiple platforms, including Reddit, X, YouTube, and GitHub, to provide a more comprehensive view of a topic. The skill is easy to use, with a
Key features include shareable HTML briefs, intelligent search, and cross-source cluster merging. It's useful for research, sales calls, and staying up-to-date with the latest information on a topic. The skill is designed for anyone looking for a more accurate and comprehensive search engine, including researchers, sales professionals, and anyone looking to stay informed.
One-liner takeaway: With last30days-skill, you can search what actually matters, not just what editors think is relevant.
──────────────────────────────
🧠 Channel: https://t.me/GithubRe
🔗 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
──────────────────────────────
The last30days-skill is an AI agent-led search engine that scores results by upvotes, likes, and real money, rather than editors. It searches across multiple platforms, including Reddit, X, YouTube, and GitHub, to provide a more comprehensive view of a topic. The skill is easy to use, with a
/last30days command that can be run in various platforms, including Claude Code, Codex, and Gemini CLI. Key features include shareable HTML briefs, intelligent search, and cross-source cluster merging. It's useful for research, sales calls, and staying up-to-date with the latest information on a topic. The skill is designed for anyone looking for a more accurate and comprehensive search engine, including researchers, sales professionals, and anyone looking to stay informed.
One-liner takeaway: With last30days-skill, you can search what actually matters, not just what editors think is relevant.
──────────────────────────────
🧠 Channel: https://t.me/GithubRe
Github Top Repositories
Photo
🔥 RyanCodrai/turbovec is trending — and it deserves your attention.
🔗 https://github.com/RyanCodrai/turbovec
📝 A vector index built on TurboQuant, written in Rust with Python bindings
──────────────────────────────
Turbovec is a Rust vector index with Python bindings, built on Google Research's TurboQuant algorithm. It allows for
Technical highlights include a
Audience: Developers building RAG (Retrieval-Augmented Generation) stacks where privacy, memory, or latency matters.
To get started, install via
Turbovec is ideal for applications requiring efficient and private vector search. Try it out and experience the power of TurboQuant! You'll be searching faster and more efficiently in no time: Turbovec - search at the speed of thought.
──────────────────────────────
🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/RyanCodrai/turbovec
📝 A vector index built on TurboQuant, written in Rust with Python bindings
──────────────────────────────
Turbovec is a Rust vector index with Python bindings, built on Google Research's TurboQuant algorithm. It allows for
online ingest, adding vectors without a train step, and is faster than FAISS with hand-written NEON and AVX-512BW kernels. Key features include filter-at-search-time capabilities, pure local deployment, and support for stable external ids. Technical highlights include a
10-16x compression ratio, Lloyd-Max scalar quantization, and bit-packing. The length-renormalized scoring ensures unbiased inner-product estimation. Audience: Developers building RAG (Retrieval-Augmented Generation) stacks where privacy, memory, or latency matters.
To get started, install via
pip install turbovec or cargo add turbovec, and explore the Python or Rust APIs. Turbovec is ideal for applications requiring efficient and private vector search. Try it out and experience the power of TurboQuant! You'll be searching faster and more efficiently in no time: Turbovec - search at the speed of thought.
──────────────────────────────
🧠 Channel: https://t.me/GithubRe
❤1
Github Top Repositories
Photo
📌 Spotted on GitHub Trending: roboflow/supervision — let's break it down.
🔗 https://github.com/roboflow/supervision
📝 We write your reusable computer vision tools. 💜
──────────────────────────────
Supervision is a Python library that simplifies the development of computer vision applications. Its primary purpose is to provide reusable tools for common tasks such as loading datasets, drawing detections, and counting objects in a specific zone. The library is model-agnostic, allowing users to plug in any classification, detection, or segmentation model.
To get started, you can
For usage, you can use the library to load datasets from various formats, split and merge datasets, and save them in different formats. The library also provides a range of technical highlights, including support for object detection, tracking, and speed estimation.
The library is designed for developers and researchers working on computer vision projects, particularly those who want to build applications faster and more reliably. With its user-friendly documentation and active community, Supervision is an excellent choice for anyone looking to simplify their computer vision workflow.
One-liner takeaway: Supervision simplifies computer vision development by providing reusable tools and a model-agnostic approach, making it an excellent choice for developers and researchers looking to build applications faster and more reliably.
──────────────────────────────
🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/roboflow/supervision
📝 We write your reusable computer vision tools. 💜
──────────────────────────────
Supervision is a Python library that simplifies the development of computer vision applications. Its primary purpose is to provide reusable tools for common tasks such as loading datasets, drawing detections, and counting objects in a specific zone. The library is model-agnostic, allowing users to plug in any classification, detection, or segmentation model.
To get started, you can
pip install supervision in a Python environment with version 3.9 or higher. The library offers a range of key features, including connectors for popular libraries like Ultralytics, Transformers, and MMDetection, as well as highly customizable annotators for visualizing detections.For usage, you can use the library to load datasets from various formats, split and merge datasets, and save them in different formats. The library also provides a range of technical highlights, including support for object detection, tracking, and speed estimation.
The library is designed for developers and researchers working on computer vision projects, particularly those who want to build applications faster and more reliably. With its user-friendly documentation and active community, Supervision is an excellent choice for anyone looking to simplify their computer vision workflow.
One-liner takeaway: Supervision simplifies computer vision development by providing reusable tools and a model-agnostic approach, making it an excellent choice for developers and researchers looking to build applications faster and more reliably.
──────────────────────────────
🧠 Channel: https://t.me/GithubRe
🔍 Deep-diving into opencv/opencv — fresh off the trending list.
🔗 https://github.com/opencv/opencv
📝 Open Source Computer Vision Library
──────────────────────────────
The OpenCV library is a game-changer for computer vision enthusiasts, providing a vast array of functions and tools for image and video processing, feature detection, object recognition, and more. With its
To get started, users can access the official homepage for courses, documentation, and forums, or contribute to the library by submitting pull requests and following the
Whether you're a seasoned developer or just starting out, OpenCV is an invaluable resource for anyone looking to push the boundaries of computer vision. So why not join the community today and start building something amazing with OpenCV? Empower your vision with the world's leading computer vision library!
──────────────────────────────
🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/opencv/opencv
📝 Open Source Computer Vision Library
──────────────────────────────
The OpenCV library is a game-changer for computer vision enthusiasts, providing a vast array of functions and tools for image and video processing, feature detection, object recognition, and more. With its
extensive documentation and active community, OpenCV is the perfect platform for developers, researchers, and students to explore and innovate in the field of computer vision. To get started, users can access the official homepage for courses, documentation, and forums, or contribute to the library by submitting pull requests and following the
guidelines. The library's technical highlights include its ability to support various programming languages, such as C++, Python, and Java, making it a versatile tool for diverse applications. Whether you're a seasoned developer or just starting out, OpenCV is an invaluable resource for anyone looking to push the boundaries of computer vision. So why not join the community today and start building something amazing with OpenCV? Empower your vision with the world's leading computer vision library!
──────────────────────────────
🧠 Channel: https://t.me/GithubRe
❤1
Github Top Repositories
Photo
🌟 refactoringhq/tolaria caught my eye on GitHub Trending today.
🔗 https://github.com/refactoringhq/tolaria
📝 Desktop app to manage markdown knowledge bases
──────────────────────────────
Tolaria is a desktop app for managing markdown knowledge bases. It's used for personal knowledge, company docs, and storing AI memory and procedures. The app is files-first, git-first, and offline-first, ensuring your data belongs to you, not the app.
Key features include:
-
- Support for AI agents like Claude Code, Codex CLI, and Gemini CLI
-
To get started, you can install Tolaria via
One-liner takeaway: Tolaria is the ultimate tool for managing your knowledge base, giving you complete control over your data and versatility in using AI agents.
──────────────────────────────
🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/refactoringhq/tolaria
📝 Desktop app to manage markdown knowledge bases
──────────────────────────────
Tolaria is a desktop app for managing markdown knowledge bases. It's used for personal knowledge, company docs, and storing AI memory and procedures. The app is files-first, git-first, and offline-first, ensuring your data belongs to you, not the app.
Key features include:
-
Keyboard-first design for power-users- Support for AI agents like Claude Code, Codex CLI, and Gemini CLI
-
Standards-based notes in markdown with YAML frontmatterTo get started, you can install Tolaria via
Homebrew or download the latest release. The app is open source and built with Tauri, React, and TypeScript.One-liner takeaway: Tolaria is the ultimate tool for managing your knowledge base, giving you complete control over your data and versatility in using AI agents.
──────────────────────────────
🧠 Channel: https://t.me/GithubRe
💡 aaif-goose/goose just hit the trending charts — here's why it matters.
🔗 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
──────────────────────────────
Meet goose, a general-purpose AI agent designed to run on your machine, making it easy to tackle tasks such as research, writing, automation, and data analysis. With a native desktop app for macOS, Linux, and Windows, a full CLI for terminal workflows, and an API for embedding, goose is built in
It supports over 15 providers, including Anthropic, OpenAI, and Google, and connects 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:
Goose is perfect for developers, researchers, and anyone looking to streamline their workflow with AI.
The takeaway: goose is the ultimate AI sidekick that helps you "migrate" your tasks to the next level!
──────────────────────────────
🧠 Channel: https://t.me/GithubRe
🔗 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
──────────────────────────────
Meet goose, a general-purpose AI agent designed to run on your machine, making it easy to tackle tasks such as research, writing, automation, and data analysis. With a native desktop app for macOS, Linux, and Windows, a full CLI for terminal workflows, and an API for embedding, goose is built in
Rust for optimal performance and portability. It supports over 15 providers, including Anthropic, OpenAI, and Google, and connects 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 | bash
Goose is perfect for developers, researchers, and anyone looking to streamline their workflow with AI.
The takeaway: goose is the ultimate AI sidekick that helps you "migrate" your tasks to the next level!
──────────────────────────────
🧠 Channel: https://t.me/GithubRe