Github Top Repositories
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Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.
Show more📈 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 14 247 subscribers, ranking 13 996 in the Education category and 28 216 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 14 247 subscribers.
According to the latest data from 03 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 260 over the last 30 days and by 3 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 0.95%. Within the first 24 hours after publication, content typically collects 0.62% reactions from the total number of subscribers.
- Post reach: On average, each post receives 136 views. Within the first day, a publication typically gains 89 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.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Top GitHub repositories in one place 🚀
Explore the best projects in programming, AI, data science, and more.”
Thanks to the high frequency of updates (latest data received on 04 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.
14 247
Subscribers
+324 hours
+1077 days
+26030 days
Posts Archive
14 257
💡 pppscn/SmsForwarder just hit the trending charts — here's why it matters.
🔗 https://github.com/pppscn/SmsForwarder
📝 短信转发器——监控Android手机短信、来电、APP通知，并根据指定规则转发到其他手机：钉钉群自定义机器人、钉钉企业内机器人、企业微信群机器人、飞书机器人、企业微信应用消息、邮箱、bark、webhook、Telegram机器人、Server酱、PushPlus、手机短信等。包括主动控制服务端与客户端，让你轻松远程发短信、查短信、查通话、查话簿、查电量等。（V3.0 新增）PS.这个APK主要是学习与自用，如有BUG请提ISSUE，同时欢迎大家提PR指正
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SmsForwarder is an Android app that forwards SMS, calls, and app notifications to other devices or platforms, including DingTalk, WeChat, email, and more. Key features include remote control, automated tasks, and customizable rules. To
use the app, simply download and install it, then configure the settings to forward messages to your desired platform. From a technical standpoint, the app uses a variety of libraries and frameworks, including XUI, XUpdate, and XXPermissions. The app is ideal for anyone looking for a convenient way to forward messages and notifications to other devices or platforms. Give it a try and see how it can simplify your life: SmsForwarder is the ultimate messaging sidekick - forwarding your way to freedom!
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🧠 Channel: https://t.me/GithubRe14 257
🌟 owainlewis/awesome-artificial-intelligence caught my eye on GitHub Trending today.
🔗 https://github.com/owainlewis/awesome-artificial-intelligence
📝 A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
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The owainlewis/awesome-artificial-intelligence GitHub repository is a curated collection of resources for building and shipping AI systems. Its purpose is to provide must-use, actively maintained resources for AI engineering, including books, guides, papers, and tools.
Key features include a list of
modern and practical books on AI engineering, such as Designing Machine Learning Systems and AI Engineering, as well as foundational books like Artificial Intelligence: A Modern Approach and Deep Learning. The repository also covers courses for learning AI, landmark papers that shaped modern AI, and guides and playbooks for building effective AI agents.
For usage, developers can explore the repository's frameworks section, which includes tools like PocketFlow, Google ADK, and Pydantic-AI. The repository also highlights evals for evaluating AI models and IDEs like Cursor and GitHub Copilot for building AI-powered applications.
From a technical perspective, the repository is well-organized, making it easy for developers to find and use the resources they need. The repository's technical highlights include its use of GitHub for version control and its curated list of resources.
The target audience for this repository is AI engineers, developers, and researchers who want to build and ship AI systems. Whether you're a beginner or an experienced AI professional, the owainlewis/awesome-artificial-intelligence repository has something to offer.
In short, this repository is a one-stop shop for AI resources, and its curated list of tools and guides makes it an essential resource for anyone working in the field of AI. Here's the takeaway: with the right resources, you can build and ship AI systems that make a real impact.
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🧠 Channel: https://t.me/GithubRe14 257
⚡ withastro/flue is making waves. Here's the full picture.
🔗 https://github.com/withastro/flue
📝 The sandbox agent framework.
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Flue is a framework for building autonomous agents and powerful AI workflows with a programmable TypeScript harness. It allows you to create agents that can safely take action, maintain continuity, and connect to systems where work already happens. Key features include building agents that can keep context across conversations and events, running structured automations, and providing a secure sandbox environment.
With
Flue, you can define agents using a simple and intuitive syntax, as shown in the example:
import { defineAgent } from '@flue/runtime';
import { local } from '@flue/runtime/node';
export default defineAgent(() => ({
model: 'anthropic/claude-sonnet-4-6',
tools: [...githubTools],
skills: [triage, verify],
sandbox: local(),
instructions,
}));14 257
💡 mattpocock/skills just hit the trending charts — here's why it matters.
🔗 https://github.com/mattpocock/skills
📝 Skills for Real Engineers. Straight from my .claude directory.
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The mattpocock/skills GitHub repository is a collection of skills designed to help real engineers develop applications more efficiently. The skills are small, adaptable, and work with any model, based on decades of engineering experience.
Key features include grilling sessions to align with the agent before starting a project, a shared language to reduce verbosity, and feedback loops to improve code quality. The skills are categorized into
engineering, productivity, and misc sections.
To use these skills, simply run the skills.sh installer and select the skills you want to install. Then, run the /setup-matt-pocock-skills command to configure the skills for your project.
These skills are perfect for engineers who want to take control of their development process and produce high-quality code. With these skills, you can ship the best apps of your career - and that's a skill worth mastering.
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🧠 Channel: https://t.me/GithubRe14 257
🔥 Kilo-Org/kilocode is trending — and it deserves your attention.
🔗 https://github.com/Kilo-Org/kilocode
📝 Kilo is the all-in-one agentic engineering platform. Build, ship, and iterate faster with the most popular open source coding agent.
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Kilo Code is an open-source coding agent that integrates with VS Code, JetBrains, and the CLI, providing AI-powered coding assistance. With 500+ models to choose from, you can switch between them mid-task and pay the model provider's rate with no markup. It offers features like
code generation, inline autocomplete, and self-checking.
To get started, you can install Kilo Code via the npm package manager by running npm install -g @kilocode/clicurl, pnpm, or bun. For VS Code, you can install the Kilo Code extension directly or from the VS Code Marketplace.
Kilo Code has various agents for different tasks, including Code, Plan, Ask, Debug, and Review. It also supports autonomous mode for CI/CD pipelines and has a marketplace for extending its capabilities.
The Kilo Code community welcomes contributions from developers, writers, and everyone in between. To get involved, start with the Contributing Guide and review the Code of Conduct.
Join the community today and experience the power of AI-assisted coding. With Kilo Code, you can code faster, smarter, and more efficiently - it's like having a superpower in your code editor!
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🧠 Channel: https://t.me/GithubRe
14 257
💡 jamiepine/voicebox just hit the trending charts — here's why it matters.
🔗 https://github.com/jamiepine/voicebox
📝 The open-source AI voice studio. Clone, dictate, create.
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The Voicebox GitHub repository is an open-source AI voice studio that allows you to clone any voice, generate speech, and dictate into any app. This local-first solution provides complete privacy, as your models, voice data, and captures never leave your machine.
Key
features include 7 TTS engines, voice cloning, 23 languages, post-processing effects, and unlimited length generation. You can use Voicebox to create expressive speech with paralinguistic tags, and it also supports voice input with a global dictation hotkey.
The technical highlights of Voicebox include its REST API, MCP server, and native performance built with Tauri (Rust). It runs everywhere, including macOS, Windows, Linux, and Docker.
Voicebox is perfect for developers, content creators, and anyone looking for a powerful, private, and customizable voice studio.
In short, Voicebox is the ultimate voice studio that puts you in control of your voice - literally.
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🧠 Channel: https://t.me/GithubRe14 257
💡 chopratejas/headroom just hit the trending charts — here's why it matters.
🔗 https://github.com/chopratejas/headroom
📝 Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
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The Headroom library is a context compression layer designed for AI agents, enabling significant reductions in token usage. It achieves this through library, proxy, and agent wrap modes, allowing for flexible integration with various applications. Key features include
compress(messages) functionality, a headroom proxy for seamless integration, and support for multiple algorithms.
Technical highlights of Headroom include its ability to compress tool outputs, logs, and conversation history, with a focus on reversible compression that caches originals for retrieval on demand. The solution is designed to work with various AI agents, including Claude, Codex, and others, and offers a range of tools for customization and optimization.
To get started with Headroom, users can install it via pip install headroom-ai[all] or npm install headroom-ai, and then choose their preferred mode of operation. The library provides a range of granular options for customization, including support for specific agents, memory management, and output token reduction.
Headroom's benefits are clear: it preserves accuracy while reducing token usage by 60-95%, making it an essential tool for organizations looking to optimize their AI workflows. With its flexible integration options, customizable features, and commitment to preserving accuracy, Headroom is an attractive solution for businesses and developers seeking to streamline their AI operations.
In short, Headroom is a game-changer for AI token compression, and its potential to revolutionize the way we work with AI agents is vast: compressing the future, one token at a time.
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🧠 Channel: https://t.me/GithubRe14 257
💡 tw93/Pake just hit the trending charts — here's why it matters.
🔗 https://github.com/tw93/Pake
📝 🤱🏻 Turn any webpage into a desktop app with one command.
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Pake is a powerful tool that lets you turn any webpage into a desktop app with just one command. It supports macOS, Windows, and Linux, and is lightweight and fast, built with Rust Tauri.
The key features of Pake include:
- Lightweight: Nearly 20 times smaller than Electron packages
- Fast: Much faster than traditional JS frameworks with lower memory usage
- Easy to use: One-command packaging via CLI or online building
- Feature-rich: Supports shortcuts, immersive windows, drag & drop, style customization, ad removal
You can get started with Pake by downloading ready-made packages or using the
CLI Tool for one-command packaging. Advanced users can customize their apps with icons, window settings, and more.
The Pake GitHub repo provides detailed documentation, including CLI Usage Guide and Tauri documentation for development.
The takeaway: With Pake, you can turn any webpage into a desktop app in just one command - it's that simple!
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🧠 Channel: https://t.me/GithubRe
14 257
📌 Spotted on GitHub Trending: Kong/insomnia — let's break it down.
🔗 https://github.com/Kong/insomnia
📝 The open-source, cross-platform API client for GraphQL, REST, WebSockets, SSE and gRPC. With Cloud, Local and Git storage.
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Insomnia is an open-source, cross-platform API client that supports various protocols like GraphQL, REST, WebSockets, and more. With Insomnia, you can debug, design, test, and mock APIs, as well as build CI/CD pipelines and collaborate with others. It offers multiple storage options, including
Local Vault, Git Sync, and Cloud Sync, allowing you to choose how you want to store your projects and data.
The tool is available for Mac, Windows, and Linux, and can be downloaded from the official website. Insomnia has a generous free plan, and also offers premium features and support for users who need more advanced capabilities.
The project is developed using Node.js and Git, and contributors are welcome to participate. Insomnia is licensed under Apache-2.0, and its documentation is available on the official website.
Whether you're an API developer, tester, or just someone who loves working with APIs, Insomnia is the perfect tool for you: it's the ultimate API client that helps you work smarter, not harder.
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🧠 Channel: https://t.me/GithubRe
14 257
⚡ twentyhq/twenty is making waves. Here's the full picture.
🔗 https://github.com/twentyhq/twenty
📝 The open alternative to Salesforce, designed for AI.
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The Twenty repository is home to an open-source CRM that's highly customizable. Its key features include defining objects, fields, and views as code, building custom apps, and utilizing version control. To get started, you can
npx create-twenty-app my-app to scaffold a new app and then define objects as code, like so:
import { defineObject, FieldType } from 'twenty-sdk/define';
export default defineObject({
nameSingular: 'deal',
namePlural: 'deals',
labelSingular: 'Deal',
labelPlural: 'Deals',
fields: [
{ name: 'name', label: 'Name', type: FieldType.TEXT },
{ name: 'amount', label: 'Amount', type: FieldType.CURRENCY },
{ name: 'closeDate', label: 'Close Date', type: FieldType.DATE_TIME },
],
});
14 257
📌 Spotted on GitHub Trending: google-research/timesfm — let's break it down.
🔗 https://github.com/google-research/timesfm
📝 TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
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The TimesFM repository on GitHub is home to a pretrained time-series foundation model developed by Google Research. This model is designed for time-series forecasting, and its key features include support for continuous quantile forecasting and a range of configuration options. To get started, you can install the
timesfm package from PyPI using pip install timesfm[torch] or pip install timesfm[flax].
The repository includes a range of examples and documentation, including a fine-tuning example using HuggingFace Transformers and a code example that demonstrates how to use the model for forecasting. The model has been used in a variety of applications, including Google's BigQuery ML and Google Sheets.
From a technical perspective, the model is implemented in both PyTorch and Flax, and supports a range of hardware accelerators. The code is well-organized and includes a range of tests and examples to help you get started.
The TimesFM model is suitable for a range of audiences, including data scientists and machine learning engineers who are interested in time-series forecasting. Whether you're looking to build a forecasting model from scratch or simply want to use a pre-trained model for your own applications, TimesFM is definitely worth checking out.
In short, TimesFM is a powerful tool for time-series forecasting that's easy to use and highly customizable - give it a try and see what it can do for you!
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🧠 Channel: https://t.me/GithubRe14 257
🔍 Deep-diving into DeusData/codebase-memory-mcp — fresh off the trending list.
🔗 https://github.com/DeusData/codebase-memory-mcp
📝 High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
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Unlock the Power of Code Intelligence: The
codebase-memory-mcp GitHub repository offers a revolutionary code intelligence engine designed for AI coding agents. This powerful tool can full-index an average repository in milliseconds and the Linux kernel in just 3 minutes, answering structural queries in under 1ms.
With high-quality parsing through tree-sitter AST analysis and Hybrid LSP semantic type resolution for 9 languages, it produces a persistent knowledge graph of functions, classes, call chains, HTTP routes, and cross-service links. The engine ships as a single static binary for macOS, Linux, and Windows, making it easy to download and install.
Key features include extreme indexing speed, plug-and-play functionality, support for 158 languages, and built-in graph visualization. The engine also offers advanced features like dead code detection, cross-service linking, and infrastructure-as-code indexing.
The codebase-memory-mcp is designed for developers, researchers, and anyone looking to unlock the full potential of their codebase. With its ease of use, flexibility, and powerful features, it's an essential tool for anyone working with code.
One-liner takeaway: Supercharge your coding workflow with codebase-memory-mcp, the fastest and most efficient code intelligence engine for AI coding agents.
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🧠 Channel: https://t.me/GithubRe
14 257
📌 Spotted on GitHub Trending: tursodatabase/turso — let's break it down.
🔗 https://github.com/tursodatabase/turso
📝 Turso is an in-process SQL database, compatible with SQLite.
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The Turso Database is an in-process SQL database, compatible with SQLite, written in Rust. It offers key features like
BEGIN CONCURRENT for improved write throughput, change data capture for real-time tracking, and multi-language support for languages such as Go, JavaScript, Java, .NET, Python, and Rust.
To get started, you can install the latest turso release or build and run the latest development version. The database provides an interactive shell where you can execute SQL statements. It also supports asynchronous I/O, cross-platform compatibility, and vector support.
The Turso Database has a wide range of use cases, from simple embedded databases to complex, distributed systems. Its technical highlights include SQLite compatibility, multi-version concurrency control, and support for various programming languages.
Whether you're a developer, data scientist, or simply looking for a reliable database solution, Turso Database is an excellent choice. With its active community and extensive documentation, you'll find all the resources you need to get started and succeed.
Turso Database is for anyone looking for a fast, reliable, and scalable database solution - join the community and experience the power of Turso today! Take the leap and discover a database that's truly designed for the future!
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🧠 Channel: https://t.me/GithubRe
14 257
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14 257
🔥 calesthio/OpenMontage is trending — and it deserves your attention.
🔗 https://github.com/calesthio/OpenMontage
📝 World's first open-source, agentic video production system. 12 pipelines, 52 tools, 500+ agent skills. Turn your AI coding assistant into a full video production studio.
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Introducing OpenMontage, the first open-source, agentic video production system. This powerful tool allows you to create stunning videos by simply describing what you want in plain language. The agent handles research, scripting, asset generation, editing, and final composition, making it easy to produce high-quality videos.
Key features include the ability to start from a reference video, paste a YouTube link, and have the agent analyze the transcript, pacing, scenes, keyframes, and style to create a grounded production plan. You can also use
Python 3.10+ and FFmpeg to install and run OpenMontage.
Technical highlights include the use of Remotion for React-based rendering, HyperFrames for HTML/CSS/GSAP rendering, and FFmpeg for post-production. The system also supports a range of API keys for additional tools and services, such as image and video gateways, free stock media, music, and voice services.
Audience includes anyone looking to create high-quality videos without extensive video production experience. Whether you're a marketer, educator, or simply a video enthusiast, OpenMontage is designed to be user-friendly and accessible.
In summary, OpenMontage is a revolutionary video production system that makes it easy to create stunning videos with minimal effort. With its powerful features and user-friendly interface, it's perfect for anyone looking to take their video production to the next level. Turn your ideas into professional-looking videos with OpenMontage - the future of video production is here!
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🧠 Channel: https://t.me/GithubRe