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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 13 248 subscribers, ranking 15 402 in the Education category and 32 619 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 13 248 subscribers.
According to the latest data from 08 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 357 over the last 30 days and by 10 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 1.16%. Within the first 24 hours after publication, content typically collects 0.75% reactions from the total number of subscribers.
- Post reach: On average, each post receives 153 views. Within the first day, a publication typically gains 99 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 09 June, 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.
13 248
Subscribers
+1024 hours
+897 days
+35730 days
Posts Archive
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β‘ microsoft/ai-agents-for-beginners is making waves. Here's the full picture.
π https://github.com/microsoft/ai-agents-for-beginners
π 12 Lessons to Get Started Building AI Agents
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The AI Agents for Beginners course on GitHub is designed to introduce you to the world of building AI Agents. With 50+ language translations available, this course is accessible to a wide range of learners. The course covers the
fundamentals of building AI Agents, including lessons on AI Agentic Frameworks, AI Agentic Design Patterns, and Building Trustworthy AI Agents.
To get started, you can fork this repo and run the code examples, which utilize Microsoft Agent Framework with Azure AI Foundry Agent Service V2. You can also join the Microsoft Foundry Discord channel to meet other learners and get your questions answered.
This course is perfect for beginners and experienced learners alike, with each lesson including a written lesson, a short video, and Python code samples. Whether you're looking to build AI Agents for personal projects or professional applications, this course provides the foundation you need to get started.
Takeaway: Dive into the world of AI Agents with this beginner-friendly course and start building your own AI Agents today!
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π§ Channel: https://t.me/GithubRe
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π― NVlabs/Sana landed on trending. Worth a proper look.
π https://github.com/NVlabs/Sana
π SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
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The SANA project is an open-source codebase for efficient high-resolution image and video generation, providing complete training and inference pipelines. It includes various models such as SANA-1.5, SANA-Sprint, SANA-Video, and Sol-RL.
The key features of
SANA include its efficiency, scalability, and support for multiple models and techniques. The project also provides a range of tools and resources, including documentation, demos, and pre-trained models.
Technical highlights of SANA include its use of techniques such as causal linear attention, mix-FFN, and inference-time scaling. The project also supports various frameworks and libraries, including diffusers and ComfyUI.
The target audience for SANA includes researchers, developers, and practitioners in the field of computer vision and machine learning.
The project has a strong focus on community engagement, with a Discord channel for discussions and a range of resources and tools available for contributors.
In summary, SANA is a powerful and efficient codebase for high-resolution image and video generation, with a strong focus on community engagement and support. With its range of models, techniques, and resources, SANA is an ideal choice for anyone looking to explore the latest advances in computer vision and machine learning: join the SANA community today and start generating stunning images and videos!
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π§ Channel: https://t.me/GithubRe
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π Deep-diving into humanlayer/12-factor-agents β fresh off the trending list.
π https://github.com/humanlayer/12-factor-agents
π What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
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The 12-factor-agents GitHub repository provides a set of principles for building reliable LLM applications. The project, inspired by the 12 Factor Apps methodology, aims to help developers create more maintainable and scalable LLM-powered software.
Key features include a set of 12 factors, such as
own your prompts, own your context window, and make your agent a stateless reducer, which serve as guidelines for designing and implementing LLM applications.
Developers can use these factors to build more robust and efficient agents, and the repository provides a community-driven discussion for feedback and contributions.
The target audience for this repository includes developers and founders working with LLMs, particularly those interested in building production-ready customer-facing agents.
From a technical perspective, the repository highlights the importance of unifying execution state and business state and launching/pausing/resuming with simple APIs.
In summary, the 12-factor-agents repository offers a valuable resource for developers seeking to build reliable and scalable LLM applications, with a focus on user value and maintainability.
One key takeaway: building reliable LLM applications requires a deep understanding of the underlying principles and a focus on creating maintainable and scalable software.
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π§ Channel: https://t.me/GithubRe
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π Meet BigBodyCobain/Shadowbroker: a gem from today's GitHub trending list.
π https://github.com/BigBodyCobain/Shadowbroker
π Open-source intelligence for the global theater. Track everything from the corporate/private jets of the wealthy, and spy satellites, to seismic events in one unified interface. Hook an AI agent up to have it parse through data and find previously unseen correlations. The knowledge is available to all but rarely aggregated in the open, until now.
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Imagine a single platform where you can track aircraft, ships, satellites, and even CCTV cameras in real-time, all on a dark-ops map interface. This is what ShadowBroker offers - a decentralized intelligence platform that aggregates data from 60+ live intelligence feeds. Built with
Next.js, MapLibre GL, FastAPI, and Python, it features 35+ toggleable data layers, multiple visual modes, and an obfuscated communications protocol.
Designed for analysts, researchers, and anyone curious about global events, ShadowBroker is fully open-source and doesn't collect or transmit user data. It's a self-hosted backend that runs entirely in your browser. From tracking Air Force One to monitoring earthquakes and wildfires, this platform is a one-stop-shop for real-time geospatial intelligence.
To get started, simply clone the repository and run it with docker compose - no local building required. With regular updates and a strong focus on community involvement, ShadowBroker is the perfect tool for those who want to stay informed about global events.
ShadowBroker is the ultimate game-changer for anyone who wants to uncover the truth: see the world like never before, all in one place.
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π§ Channel: https://t.me/GithubRe13 253
π Meet tech-leads-club/agent-skills: a gem from today's GitHub trending list.
π https://github.com/tech-leads-club/agent-skills
π The secure, validated skill registry for professional AI coding agents. Extend Antigravity, Claude Code, Cursor, Copilot and more with absolute confidence.
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The Agent Skills repository is a secure, validated skill registry for professional AI coding agents. It provides a hardened library of verified, tested, and safe capabilities, allowing developers to extend their AI agents with confidence.
The key features of Agent Skills include:
- A growing catalog of skills that can be easily installed and managed using the
agent-skills CLI.
- Support for multiple AI coding agents, including Claude Code, Cursor, and GitHub Copilot.
- A strong focus on security and trust, with features like static analysis, immutable integrity, and human-curated prompts.
To get started with Agent Skills, simply run npx @tech-leads-club/agent-skills and follow the interactive wizard. You can also install the agent-skills CLI globally using npm install -g @tech-leads-club/agent-skills.
The repository is 100% open source and has a Defense-in-Depth security approach, utilizing sanitization, path isolation, and symlink guards to protect against potential threats.
Overall, Agent Skills is a powerful tool for developers looking to extend their AI coding agents with secure and validated capabilities. With its easy-to-use CLI and strong focus on security, it's an excellent choice for anyone looking to supercharge their development workflow.
Takeaway: Agent Skills is the ultimate game-changer for AI coding agents, providing a secure and validated way to supercharge your development workflow.
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π§ Channel: https://t.me/GithubRe13 253
π‘ CloakHQ/CloakBrowser just hit the trending charts β here's why it matters.
π https://github.com/CloakHQ/CloakBrowser
π 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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CloakBrowser is a custom-built Chromium browser designed to bypass bot detection systems. Its key features include stealth mode, human-like behavior, and auto-updating binary. To use CloakBrowser, simply
pip install cloakbrowser or npm install cloakbrowser and launch it with the standard Playwright/Puppeteer API.
Technical highlights include 49 source-level C++ patches for canvas, WebGL, audio, and more, as well as humanize=True for human-like mouse curves and keyboard timing. CloakBrowser is suitable for developers and users who need to automate browser interactions without being detected by bot detection systems.
In a nutshell, CloakBrowser is the ultimate solution for unblocking blocked websites with its powerful stealth capabilities - just swap your import and you're unblocked in 30 seconds.
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π§ Channel: https://t.me/GithubRe13 253
β‘ ruvnet/RuView is making waves. Here's the full picture.
π https://github.com/ruvnet/RuView
π Ο RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection β all without a single pixel of video.
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RuView is a WiFi sensing platform that turns radio signals into spatial intelligence, allowing you to detect people, measure breathing and heart rate, track movement, and monitor rooms β all through walls, in the dark, with no cameras or wearables. The system uses Channel State Information (CSI) from low-cost ESP32 sensors and turns disturbances in radio waves into actionable data. Key features include presence and occupancy detection, vital signs monitoring, activity recognition, environment mapping, and sleep quality tracking.
RuView runs entirely on edge hardware, with no cloud or internet required, and uses spiking neural networks that adapt in under 30 seconds. The system is ideal for various applications, including healthcare, retail, office, and hospitality, where it can be used for fall detection, patient monitoring, occupancy counting, and more. With RuView, you can turn ordinary WiFi into a spatial intelligence system and gain valuable insights into your environment β all with a simple, low-cost solution. RuView is the future of WiFi sensing, and it's available now: see through walls with WiFi.
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π§ Channel: https://t.me/GithubRe
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β‘ ggml-org/llama.cpp is making waves. Here's the full picture.
π https://github.com/ggml-org/llama.cpp
π LLM inference in C/C++
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The ggml-org/llama.cpp GitHub repository provides a C/C++ implementation of LLM inference with minimal setup and state-of-the-art performance on various hardware. The key features include plain C/C++ implementation, optimized performance for Apple silicon and x86 architectures, and support for multiple integer quantization bits.
To get started, you can install
llama.cpp using brew, nix or winget, run with Docker, or download pre-built binaries. Once installed, you'll need a model to work with, such as LLaMA, LLaMA 2, or other supported models.
The repository also includes a list of bindings for various programming languages, such as Python, Go, Node.js, and more.
Overall, llama.cpp provides a flexible and high-performance solution for LLM inference, making it a great option for developers and researchers.
The future of AI is fast, flexible, and cpp - llama.cpp is the perfect combo.
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π§ Channel: https://t.me/GithubRe13 253
π supertone-inc/supertonic caught my eye on GitHub Trending today.
π https://github.com/supertone-inc/supertonic
π Lightning-Fast, On-Device, Multilingual TTS β running natively via ONNX.
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The Supertonic project is a lightning-fast, on-device multilingual text-to-speech system designed for local inference with minimal overhead. It's powered by
ONNX Runtime and runs entirely on your device, ensuring no cloud, API calls, or privacy concerns.
Key features include blazingly fast synthesis, 31-language multilingual support, a compact 99M-parameter open-weight model, and edge-device readiness. It also offers high-quality 44.1kHz audio output, expression tags for natural human nuance, and multi-runtime SDKs for various programming languages.
To get started, you can install the Python SDK using pip install supertonic and generate speech immediately. The project also provides a local HTTP server for calling Supertonic from tools that speak HTTP.
The target audience includes developers looking for a fast, private, and compact text-to-speech solution for their applications.
With its impressive features and ease of use, Supertonic is a game-changer for on-device text-to-speech synthesis: Supertonic brings lightning-fast, private, and accurate text-to-speech to your device - no cloud required.
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π§ Channel: https://t.me/GithubRe
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π‘ K-Dense-AI/scientific-agent-skills just hit the trending charts β here's why it matters.
π https://github.com/K-Dense-AI/scientific-agent-skills
π A set of ready to use Agent Skills for research, science, engineering, analysis, finance and writing.
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The Scientific Agent Skills GitHub repository offers a comprehensive collection of 135 ready-to-use scientific and research skills for AI agents that support the open Agent Skills standard. This repository is created by K-Dense and works with various AI agents, including Cursor, Claude Code, Codex, and more. The skills enable AI agents to seamlessly work with specialized scientific libraries, databases, and tools across multiple scientific domains.
Key features include:
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100+ scientific and financial databases for unified access
- 70+ optimized Python package skills for stronger performance
- 9 scientific integration skills for explicit definitions
- 30+ analysis and communication tools for literature review, scientific writing, and more
To get started, users can install the skills using npx skills add K-Dense-AI/scientific-agent-skills or the GitHub CLI with gh skill install K-Dense-AI/scientific-agent-skills. The skills are well-documented with examples, use cases, and best practices, making it easy for users to integrate them into their workflows.
The target audience for this repository includes researchers, scientists, and developers who want to transform their AI coding agent into an 'AI Scientist' capable of executing complex multi-step scientific workflows. With the Scientific Agent Skills repository, users can accelerate their research, save time, and achieve production-ready code.
Takeaway: Supercharge your AI agent with Scientific Agent Skills and unlock a world of limitless research possibilities!
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π§ Channel: https://t.me/GithubRe13 253
π Meet HKUDS/CLI-Anything: a gem from today's GitHub trending list.
π https://github.com/HKUDS/CLI-Anything
π "CLI-Anything: Making ALL Software Agent-Native" -- CLI-Hub:https://clianything.cc/
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Imagine a world where AI agents can utilize any software, just like humans do. The CLI-Anything project makes this possible by creating a bridge between AI agents and the world's software. With
CLI-Anything, you can make any software agent-ready, from popular applications like GIMP and Blender to custom tools and services.
Key Features:
- Browse, install, and manage community-built CLIs using the CLI-Hub
- Watch demos of AI agents using generated CLIs to produce real artifacts
- Contribute or request a CLI for your favorite software or service
Technical Highlights:
- Python 3.10+ support
- Lightweight and universal CLI interface
- Self-describing with automatic documentation
Audience:
- Developers and researchers interested in AI and automation
- Power users looking to streamline their workflows
Takeaway: With CLI-Anything, the possibilities are endless - one command line can change everything!
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π§ Channel: https://t.me/GithubRe
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π Imbad0202/academic-research-skills caught my eye on GitHub Trending today.
π https://github.com/Imbad0202/academic-research-skills
π Academic Research Skills for Claude Code: research β write β review β revise β finalize
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The Academic Research Skills GitHub repository is a comprehensive suite of tools designed to support researchers throughout the academic writing process. The primary purpose of this repository is to provide a human-in-the-loop approach to academic research, where AI augmentation is used to handle tasks such as hunting down references, formatting citations, verifying data, and checking logical consistency.
The
academic-research-skills repository offers key features like Socratic dialogue, Style Calibration, and Writing Quality Check, which enable researchers to focus on high-level tasks that require human expertise.
To get started, users can install the repository as a plugin in Claude Code, a popular platform for academic writing, and then access various skills and modes to support their research.
From a technical perspective, the repository utilizes a range of technologies, including natural language processing, machine learning, and semantic search, to provide advanced features like citation conversion, anti-leakage protocol, and VLM figure verification.
The repository is intended for academic researchers, students, and professionals who want to improve the quality and efficiency of their research workflow.
In summary, the Academic Research Skills repository is a powerful tool that can help researchers streamline their workflow, improve the quality of their research, and produce high-quality academic papers - and with AI as your copilot, you can focus on the parts that actually require your brain.
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π§ Channel: https://t.me/GithubRe13 253
π Spotted on GitHub Trending: tinyhumansai/openhuman β let's break it down.
π https://github.com/tinyhumansai/openhuman
π Your Personal AI super intelligence. Private, Simple and extremely powerful.
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Introducing OpenHuman, an open-source agentic assistant designed to integrate with your daily life. It's simple, UI-first, and human, with a clean desktop experience and short onboarding paths that take you from install to a working agent in a few clicks.
Key features include:
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118+ third-party integrations with one-click OAuth
- Memory Tree and Obsidian Wiki for a local-first knowledge base
- Batteries included: web search, web-fetch scraper, coder toolset, and native voice
- Smart token compression (TokenJuice) to reduce cost and latency
To get started, you can either download from the website or run
curl -fsSL https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.sh | bashirm https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.ps1 | iex