Github Top Repositories
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Top GitHub repositories in one place π Explore the best projects in programming, AI, data science, and more.
Show moreπ 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 14 265 subscribers, ranking 13 995 in the Education category and 28 191 in the India region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 14 265 subscribers.
According to the latest data from 05 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 255 over the last 30 days and by 8 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 0.61% reactions from the total number of subscribers.
- Post reach: On average, each post receives 131 views. Within the first day, a publication typically gains 87 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.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βTop GitHub repositories in one place π
Explore the best projects in programming, AI, data science, and more.β
Thanks to the high frequency of updates (latest data received on 06 September, 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.
14 265
Subscribers
+824 hours
+1197 days
+25530 days
Posts Archive
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π― x1xhlol/system-prompts-and-models-of-ai-tools landed on trending. Worth a proper look.
π https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools
π FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts, Internal Tools & AI Models
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The x1xhlol/system-prompts-and-models-of-ai-tools GitHub repository is a valuable collection of AI system prompts and models. Its main purpose is to provide developers with a comprehensive resource for AI system prompts, helping them build and secure their AI tools.
The repository offers key features such as a wide range of system prompts and models for various AI applications, as well as resources for securing AI systems. To use this repository, you can explore the different prompts and models, and even contribute to the collection by opening an issue.
From a technical standpoint, the repository highlights the importance of securing AI systems, particularly for startups. It recommends checking out
ZeroLeaks, a service designed to help identify and secure prompt injection and system prompt extraction risks.
This repository is suitable for developers and AI startups looking to build and secure their AI tools. If you find this collection useful, consider supporting the project through cryptocurrency donations, Patreon, or Ko-fi.
In short, this repository is a go-to resource for AI system prompts and models - star it and stay ahead in the AI game!
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π§ Channel: https://t.me/GithubRe14 265
π swc-project/swc caught my eye on GitHub Trending today.
π https://github.com/swc-project/swc
π Rust-based platform for the Web
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The SWC (Speedy Web Compiler) is a super-fast TypeScript/JavaScript compiler written in Rust. It's a library for both Rust and JavaScript, enabling developers to compile their code quickly and efficiently. With SWC, you can expect fast compilation, seamless integration, and a strong focus on community involvement. To get started, you can use the
swc_ecma_parser or check out the documentation on the website.
Key Features include super-fast compilation, support for the latest JavaScript features, and a simple, easy-to-use API. For Rust users, the minimum supported Rust version is 1.73, and you can update all SWC crates using a simple script.
Technical Highlights of SWC include its ability to handle complex codebases with ease, its support for plugins and custom transforms, and its extensive documentation and community resources. Whether you're a seasoned developer or just starting out, SWC has something to offer.
The SWC community is active and supportive, with many ways to get involved, including contributing code, participating in discussions, and sponsoring the project. So why wait? Join the SWC community today and start compiling your code with speed and ease.
SWC is all about making the web development process faster - give it a try and experience the speed for yourself!
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π§ Channel: https://t.me/GithubRe14 265
π‘ bannedbook/fanqiang just hit the trending charts β here's why it matters.
π https://github.com/bannedbook/fanqiang
π ηΏ»ε’-η§ε¦δΈη½
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The bannedbook/fanqiang GitHub repository is a comprehensive collection of tools and tutorials for circumventing internet censorship and accessing blocked websites. It provides a wide range of
software and guides for various platforms, including Windows, macOS, Android, and iOS. The repository includes one-click solutions like ChromeGo, a Chrome extension that integrates multiple anti-censorship tools, as well as tutorials on how to set up and use V2ray, Shadowsocks, and SSR. The project aims to help users in regions with strict internet censorship to access the global internet freely and securely. With its vast array of resources and documentation, the bannedbook/fanqiang repository is an invaluable resource for anyone looking to bypass internet restrictions. Break free from censorship with bannedbook/fanqiang - empowering internet freedom, one click at a time!
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π§ Channel: https://t.me/GithubRe
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π‘ NVIDIA/SkillSpector just hit the trending charts β here's why it matters.
π https://github.com/NVIDIA/SkillSpector
π Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, and security risks.
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SkillSpector is a security scanner for AI agent skills, designed to detect vulnerabilities, malicious patterns, and security risks before installing agent skills. It provides multi-format input options, including Git repos, URLs, zip files, directories, or single files, and performs two-stage analysis with fast static analysis and optional LLM semantic evaluation.
Key features include
64 vulnerability patterns across 16 categories, live vulnerability lookups with SC4 queries to OSV.dev for real-time CVE data, and multiple output formats such as terminal, JSON, Markdown, and SARIF reports. Risk scoring is also provided, with a 0-100 score and severity labels, along with clear recommendations.
To use SkillSpector, simply clone the repository, create and activate a virtual environment, and install the required dependencies. You can then scan a local skill directory, a single SKILL.md file, a Git repository, or a zip file using the skillspector scan command. For LLM analysis, configure an OpenAI-compatible LLM endpoint for semantic analysis.
SkillSpector is ideal for security teams and AI developers who want to ensure the security and integrity of their AI agent skills. With its robust feature set and easy-to-use interface, SkillSpector is an essential tool for anyone working with AI agents.
In short, SkillSpector helps you identify potential security risks in AI agent skills before they become a problem.
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π§ Channel: https://t.me/GithubRe14 265
β‘ andrewyng/aisuite is making waves. Here's the full picture.
π https://github.com/andrewyng/aisuite
π Simple, unified interface to multiple Generative AI providers
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Introduction to aisuite: The aisuite GitHub repository, created by andrewyng, is a lightweight Python library designed for building applications with Large Language Models (LLMs). It provides a unified interface for interacting with multiple LLM providers, including OpenAI, Anthropic, and Google, allowing developers to easily switch between them.
Key Features:
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Chat Completions API: A unified interface for interacting with LLMs, supporting various providers and models.
- Agents API: A toolkit for building agents that can perform tasks using LLMs, with features like tool calling, max turns, and MCP tools.
- OpenCoworker: A desktop AI coworker application built using aisuite, capable of performing tasks like chat, research, and file management.
Usage:
- Install the aisuite library using pip: pip install aisuite
- Use the Chat Completions API to interact with LLMs:
import aisuite as ai
client = ai.Client()
response = client.chat.completions.create(
model="openai:gpt-4o",
messages=[{"role": "user", "content": "Hello, how are you?"}],
temperature=0.75
)
print(response.choices[0].message.content)
Agents API provides a flexible way to build agents that can perform complex tasks using LLMs.
- aisuite has a small codebase and is easy to extend, with a modular architecture that allows for easy addition of new providers and features.
Audience:
- aisuite is designed for developers who want to build applications using LLMs, but don't want to deal with the complexity of interacting with multiple providers.
- It's also suitable for researchers who want to experiment with LLMs and need a flexible and easy-to-use interface.
Takeaway: With aisuite, you can build powerful AI applications using Large Language Models, without getting bogged down in the details of provider-specific APIs β it's a game-changer for AI development!
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π§ Channel: https://t.me/GithubRe14 265
β‘ microsoft/PowerToys is making waves. Here's the full picture.
π https://github.com/microsoft/PowerToys
π Microsoft PowerToys is a collection of utilities that supercharge productivity and customization on Windows
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The Microsoft PowerToys GitHub repository is a collection of utilities designed to help users customize and streamline their Windows experience. With over 30 utilities included, such as
Advanced Paste, Always on Top, and Color Picker, users can optimize their workflow and productivity. To get started, users can install PowerToys via exe file from GitHub, Microsoft Store, or WinGet. The project welcomes contributions of all types, from coding features to documentation and bug fixes. The team is committed to building a set of tools that help users get the most out of Windows, with a strong focus on community involvement and feedback. The project's roadmap includes new features and improvements, such as a brand-new Shortcut Guide experience. With its active community and ongoing development, PowerToys is an exciting project that can help users take their Windows experience to the next level. Get ready to supercharge your Windows experience with PowerToys!
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π§ Channel: https://t.me/GithubRe
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β‘ LMCache/LMCache is making waves. Here's the full picture.
π https://github.com/LMCache/LMCache
π LMCache: Supercharge Your LLM with the Fastest KV Cache Layer
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The LMCache library is designed to optimize the performance of large language models (LLMs) by caching frequently accessed data. The key features of LMCache include shared prefix KV caching and support for multiple vLLM instances. To get started, you can install the library using
pip install -e . and then follow the quickstart guide, which includes pulling docker images, starting the vLLM engine, and running demo applications. The library is particularly useful for applications that require fast response times and low latency. The target audience for LMCache includes developers and researchers working with LLMs, especially those who need to optimize model performance and reduce response delays. With LMCache, you can drastically reduce the time it takes to respond to user queries. In short, LMCache helps you speed up your LLMs - and that's a huge deal for anyone working with large language models!
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π§ Channel: https://t.me/GithubRe
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π Meet kenn-io/agentsview: a gem from today's GitHub trending list.
π https://github.com/kenn-io/agentsview
π Local-first session intelligence and analytics for coding agents, supporting Claude Code, Codex, and more than 20 other agents. Also: 100x faster replacement for ccusage!
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Agentsview is a self-hosted, open-source tool for tracking and analyzing AI coding agent sessions. It allows you to browse, search, and track costs across all your agents in one place. The project provides a
single binary with no account requirements, and all data is stored locally.
To get started, you can install agentsview using a simple installation script or by downloading the desktop app from GitHub Releases. The project also supports Docker for easy deployment and provides a docker-compose example for production environments.
Once installed, agentsview can be used to track token usage and costs for each agent, with features like automatic pricing, prompt-caching-aware cost calculation, and per-model breakdowns. The tool also provides a web UI for browsing and searching sessions, with features like full-text search, token usage and cost dashboards, and analytics heatmaps.
Agentsview supports a wide range of coding agents, including Claude Code, Codex, Copilot CLI, and many more. The project is designed for developers and teams who want to track and optimize their AI coding workflows.
In summary, agentsview is a powerful tool for tracking and analyzing AI coding agent sessions, and its local, self-hosted design makes it a great choice for teams and individuals who value data privacy and security. So, take control of your AI coding workflow with agentsview - one agent to rule them all.
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π§ Channel: https://t.me/GithubRe14 265
π Deep-diving into music-assistant/server β fresh off the trending list.
π https://github.com/music-assistant/server
π Music Assistant is a free, opensource Media library manager that connects to your streaming services and a wide range of connected speakers. The server is the beating heart, the core of Music Assistant and must run on an always-on device like a Raspberry Pi, a NAS or an Intel NUC or alike.
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The Music Assistant Server is an open-source media library manager that connects your streaming services and speakers. It's the core of Music Assistant and should run on an always-on device. The server is designed to work with Home Assistant and is tailored for automation. To get started, you can run the server as a
Home Assistant Add-on or use a Docker container. For more information, visit the Music Assistant documentation at https://music-assistant.io. With its robust features and community support, Music Assistant is a powerful tool for managing your media library - and the best part is, it's free and open-source, so you can customize it to fit your needs, and that's a harmonious thing!
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π§ Channel: https://t.me/GithubRe14 265
π‘ apple/container just hit the trending charts β here's why it matters.
π https://github.com/apple/container
π A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon.
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Containerization on Mac just got easier with the apple/container tool. This Swift-based tool lets you create and run Linux containers as lightweight virtual machines on your Mac, leveraging Apple silicon. It supports
OCI-compatible container images, allowing you to pull and run images from standard container registries.
To get started, you'll need a Mac with Apple silicon and macOS 26. Simply download the latest installer package, follow the installation instructions, and start the system service using container system start.
The tool offers features like container system stop to stop the existing service, and update-container.sh for upgrades or downgrades. You can also uninstall the tool using uninstall-container.sh.
The project is under active development, with a contributing guide available for those who want to get involved.
Takeaway: Container brings lightweight Linux virtualization to your Mac, making development easier - give it a try and container system start your journey today!
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π§ Channel: https://t.me/GithubRe
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π‘ obra/superpowers just hit the trending charts β here's why it matters.
π https://github.com/obra/superpowers
π An agentic skills framework & software development methodology that works.
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Superpowers is a complete software development methodology for coding agents, built on top of composable skills and initial instructions. It's designed to help your agent use its skills effectively by starting with a conversation to understand what you're trying to achieve. The agent then breaks down the implementation into manageable tasks, emphasizing test-driven development, systematic debugging, and collaboration.
To use Superpowers, you can install it via various coding agent marketplaces, such as
Claude Code, Codex CLI, or Codex App. The installation process differs depending on the harness you use.
From a technical perspective, Superpowers relies on a skills library that includes testing, debugging, collaboration, and meta skills. These skills are designed to work across multiple coding agents, ensuring a consistent development experience.
The target audience for Superpowers includes developers who want to streamline their coding workflow, improve collaboration, and reduce complexity.
In a nutshell, Superpowers is all about empowering your coding agent to work smarter, not harder - automate your workflow and let your agent do the heavy lifting.
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π§ Channel: https://t.me/GithubRe14 265
π Deep-diving into chatwoot/chatwoot β fresh off the trending list.
π https://github.com/chatwoot/chatwoot
π Open-source live-chat, email support, omni-channel desk. An alternative to Intercom, Zendesk, Salesforce Service Cloud etc. π₯π¬
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Chatwoot is an open-source customer support platform that helps businesses deliver exceptional support experiences. With omnichannel support, it centralizes conversations from various channels into one inbox. The platform features a built-in help center portal for publishing articles and guides, as well as Captain, an AI agent that automates responses and reduces agent workload.
Key features include:
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Collaboration tools like private notes and @mentions
- Customizable views and filters for better organization
- Integrations with Slack, Dialogflow, and more
- Reports and insights for operational visibility and customer satisfaction measurement
Technical highlights:
Deployment options include Heroku, DigitalOcean, and more14 265
π₯ iptv-org/iptv is trending β and it deserves your attention.
π https://github.com/iptv-org/iptv
π Collection of publicly available IPTV channels from all over the world
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The iptv-org/iptv repository is a collection of publicly available IPTV channels from around the world. Its main purpose is to provide a centralized location for accessing live streaming channels.
Key features include a main playlist containing all available channels, links to other playlists, and Electronic Program Guide (EPG) data for most channels. To use the repository, simply paste the link to a playlist into a video player that supports live streaming. The repository is technically built using a combination of data from the iptv-org/database repository and utilities from the iptv-org/epg repository. It's perfect for anyone looking for a free and open-source way to access live TV channels. This project is all about community-driven media - Empowering users, one stream at a time!
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π§ Channel: https://t.me/GithubRe
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β‘ addyosmani/agent-skills is making waves. Here's the full picture.
π https://github.com/addyosmani/agent-skills
π Production-grade engineering skills for AI coding agents.
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Agent Skills is a GitHub repository that provides production-grade engineering skills for AI coding agents. The repository includes 24 skills that cover the entire development lifecycle, from defining what to build to shipping the final product. These skills are packaged as workflows with steps, verification gates, and anti-rationalization tables, allowing AI agents to follow best practices consistently.
The repository includes seven slash commands that map to different stages of the development lifecycle, such as
/spec, /plan, /build, /test, /review, /code-simplify, and /ship. Additionally, it includes a /build auto command that generates a plan and implements every task in a single approved pass.
To get started, users can install the repository as a plugin for various platforms, including Claude Code, Cursor, Antigravity CLI, Gemini CLI, Windsurf, OpenCode, and GitHub Copilot. The repository also includes detailed documentation and setup instructions for each platform.
The skills in the repository are designed to be used by AI agents, but they can also be used by human developers as a reference for best practices. The repository includes skills for various aspects of software development, including frontend UI engineering, API and interface design, test-driven development, and security and hardening.
Overall, the Agent Skills repository provides a comprehensive set of skills for AI coding agents to follow best practices and produce high-quality software. With its easy-to-use commands and detailed documentation, it's an essential tool for any developer looking to improve their workflow. One-liner takeaway: Agent Skills helps you build better software faster by providing a set of production-grade engineering skills for AI coding agents.
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π§ Channel: https://t.me/GithubRe