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 14 257 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 14 257 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.
14 257
Subscribers
+324 hours
+1077 days
+26030 days
Posts Archive
14 257
🚀 Meet DeusData/codebase-memory-mcp: a gem from today's GitHub 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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Codebase-Memory-MCP is an ultra-fast code intelligence engine designed for AI coding agents. It full-indexes an average repository in milliseconds and the Linux kernel in just 3 minutes. The engine answers structural queries in under 1ms and ships as a single static binary for macOS, Linux, and Windows.
Key features include high-quality parsing through
tree-sitter AST analysis across 158 languages, enhanced with Hybrid LSP semantic type resolution for popular languages like Python, TypeScript, and Java. It produces a persistent knowledge graph of functions, classes, call chains, HTTP routes, and cross-service links.
To use, simply download and run the install.sh script (or install.ps1 on Windows) and restart your coding agent. The engine auto-detects and configures MCP server entries, instruction files, and pre-tool hooks for 11 coding agents.
Technical highlights include a RAM-first pipeline with LZ4 compression, in-memory SQLite, and fused Aho-Corasick pattern matching. The engine also features a built-in graph visualization UI, infrastructure-as-code indexing, and cross-repo intelligence.
The target audience is developers and researchers looking for a fast, efficient, and easy-to-use code intelligence engine for their AI coding agents.
In short, Codebase-Memory-MCP is the fastest and most efficient code intelligence engine for AI coding agents - Index your codebase in milliseconds, not minutes!
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🧠 Channel: https://t.me/GithubRe
14 257
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14 257
🌟 LibreTranslate/LibreTranslate caught my eye on GitHub Trending today.
🔗 https://github.com/LibreTranslate/LibreTranslate
📝 Free and Open Source Machine Translation API. Self-hosted, offline capable and easy to setup.
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LibreTranslate is a free and open-source machine translation API that's entirely self-hosted, giving you full control over your translations. It's powered by the Argos Translate library, which means no reliance on proprietary software like Google or Azure.
You can try it online or explore the
API Docs and Community Forum for more information. The project supports multiple Python versions and has a Docker Image available for easy deployment.
To get started, check out the Quickstart guide and Usage Instructions on the official documentation website. The project is licensed under the GNU Affero General Public License v3, ensuring it remains open and free for everyone.
LibreTranslate is perfect for anyone looking for a customizable and private translation solution. So why rely on proprietary translation services when you can have a free and open-source alternative? Take control of your translations with LibreTranslate - it's the language of freedom!
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🧠 Channel: https://t.me/GithubRe
14 257
🎯 Lightricks/LTX-2 landed on trending. Worth a proper look.
🔗 https://github.com/Lightricks/LTX-2
📝 Official Python inference and LoRA trainer package for the LTX-2 audio–video generative model.
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LTX-2 is a revolutionary DiT-based audio-video foundation model that combines all core capabilities of modern video generation in one model. This powerful tool offers synchronized audio and video, high fidelity, multiple performance modes, production-ready outputs, API access, and open access.
Key Features:
- Synchronized audio and video
- High fidelity
- Multiple performance modes
- Production-ready outputs
- API access
- Open access
Usage:
The model can be used for various applications such as video generation, audio-to-video generation, and lip dubbing.
Technical Highlights:
- DiT-based architecture
- Support for FP8 quantization
- Attention optimizations
Audience:
- Developers
- Researchers
- Content creators
Takeaway: LTX-2 is a game-changer for video generation, and with its open access and API, it's ready to revolutionize the way we create and interact with video content.
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🧠 Channel: https://t.me/GithubRe14 257
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14 257
🚀 Meet owainlewis/awesome-artificial-intelligence: a gem from today's GitHub trending list.
🔗 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, focusing on AI engineering. It covers key areas like
learn, build, and agents, providing a comprehensive overview of the AI landscape.
The learn section offers a list of must-read books and courses for deep learning, natural language processing, and reinforcement learning. It also includes landmark papers that shaped modern AI, such as Attention Is All You Need and Scaling Laws for Neural Language Models.
The build section presents various frameworks and tools for building AI systems, including PocketFlow, Google ADK, and Pydantic-AI. It also covers evals and IDEs like OpenAI Evals and Cursor.
The agents section showcases harnesses that turn LLMs into autonomous workers, such as Claude Code and Codex CLI. It also includes a list of state-of-the-art models by modality, including language, image, video, and audio models.
This repository is a valuable resource for AI engineers, researchers, and developers looking to stay up-to-date with the latest developments in AI. Whether you're a beginner or an expert, this repository has something to offer.
One-liner takeaway: Stay ahead in the AI game with this curated collection of resources, and remember, "the model is swappable, but the harness is the product".
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🧠 Channel: https://t.me/GithubRe14 257
⚡ dotnet/aspnetcore is making waves. Here's the full picture.
🔗 https://github.com/dotnet/aspnetcore
📝 ASP.NET Core is a cross-platform .NET framework for building modern cloud-based web applications on Windows, Mac, or Linux.
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ASP.NET Core is an open-source, cross-platform framework for building modern cloud-based internet-connected applications. It's part of the .NET ecosystem, allowing you to develop and run apps on Windows, Mac, and Linux. The framework is modular, providing flexibility while keeping overhead minimal.
You can get started by following the
Getting Started instructions and exploring the .NET Homepage for guides and resources. To engage with the community, try out daily builds, file issues, and join design conversations.
For developers, ASP.NET Core14 257
🎯 Universal-Debloater-Alliance/universal-android-debloater-next-generation landed on trending. Worth a proper look.
🔗 https://github.com/Universal-Debloater-Alliance/universal-android-debloater-next-generation
📝 Cross-platform GUI written in Rust using ADB to debloat non-rooted Android devices. Improve your privacy, the security and battery life of your device.
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The Universal Android Debloater Next Generation is an open-source project that aims to improve your Android device's privacy and efficiency by removing unnecessary system apps, thus reducing the attack surface. This project is a fork of the original Universal Android Debloater, with a focus on enhancing security, speed, and memory usage.
The key features of this project include a
user-friendly interface, a comprehensive package list, and the ability to debloat your device without requiring a computer. The project also provides a wiki with detailed documentation, including a getting started guide, usage guide, and information on building the source code.
From a technical standpoint, the project uses Rust and the Iced GUI library to provide a seamless user experience. The project also ensures user privacy by not collecting or transmitting any user data, with the only external connections being GET requests to GitHub for fetching package lists and checking for updates.
This project is suitable for Android users who want to take control of their device's security and performance. Whether you're a technical expert or just looking for a way to optimize your device, the Universal Android Debloater Next Generation is a valuable resource.
One-liner takeaway: Take back control of your Android device with the Universal Android Debloater Next Generation.
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🧠 Channel: https://t.me/GithubRe
14 257
🚀 Meet Kong/insomnia: a gem from today's GitHub trending list.
🔗 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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Introducing Insomnia, an open-source, cross-platform API client for various protocols like GraphQL, REST, and more. With Insomnia, you can debug, design, test, and mock APIs, as well as build CI/CD pipelines. It offers multiple storage options: Local Vault for 100% local storage, Git Sync for Git storage, and Cloud Sync for cloud collaboration.
Insomnia has a generous free plan and also offers premium features and support.
To get started with Insomnia development, you'll need Node.js and Git. The repository is structured as a monorepo, with multiple Node.js packages. You can install and link dependencies using npm i, run lint and type checking with npm run lint and npm run type-check, and start the app with live reload using npm run dev.
Insomnia is perfect for developers, testers, and teams who want to streamline their API workflow.
The one-liner: Streamline your API workflow with Insomnia - the ultimate API client for developers and teams.
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🧠 Channel: https://t.me/GithubRe
14 257
🚀 Meet makeplane/plane: a gem from today's GitHub trending list.
🔗 https://github.com/makeplane/plane
📝 🔥🔥🔥 Open-source Jira, Linear, Monday, and ClickUp alternative. Plane is a modern project management platform to manage tasks, sprints, docs, and triage.
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The makeplane/plane GitHub repository is home to Plane, a modern project management tool designed for all teams. Its purpose is to help teams track issues, run cycles, and manage product roadmaps without the chaos of managing the tool itself.
Key features include
Work Items for task creation and management, Cycles for maintaining team momentum, Modules for simplifying complex projects, Views for customizing workflows, Pages for capturing ideas, and Analytics for accessing real-time insights.
To get started with Plane, you can either sign up for a free account on Plane Cloud or self-host it on your own servers using Docker or Kubernetes. The repository provides detailed deployment guides for self-hosting.
Plane is built with React Router, Django, and Node JS, and its documentation is available for users and developers. The project has a strong focus on community, with a forum for discussions, a code of conduct for all community channels, and a security policy for reporting vulnerabilities.
The project welcomes contributions, whether it's reporting bugs, submitting feature requests, or improving documentation. It's licensed under the GNU Affero General Public License v3.0.
In short, Plane is an open-source project management tool that's constantly evolving, and your contributions can help make it even better - so join in and take your project management to new heights!
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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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The Kilo-Org/kilocode GitHub repository is home to an open-source coding agent designed to assist developers in building with AI. This agent is accessible across various platforms, including VS Code, JetBrains, and the CLI. One of its key features is the ability to pick from over
500+ models and switch between them mid-task, all while paying the model provider's rate with no markup.
To get started, you can install Kilo Code via the VS Code Marketplace, or by running npm install -g @kilocode/clicurlpnpmbunHomebrew
14 257
🎯 withastro/flue landed on trending. Worth a proper look.
🔗 https://github.com/withastro/flue
📝 The sandbox agent framework.
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Introducing Flue, the agent harness framework that empowers you to build autonomous agents and powerful AI workflows with a programmable TypeScript harness. Flue's core features include
agents that can maintain context and take actions, workflows for structured automations, sandboxes for secure environments, and tools and skills for reusable expertise.
With Flue, you can create agents that can solve complex tasks, such as triaging a bug report end-to-end, and deploy them anywhere, including Node.js, Cloudflare Workers, and GitHub Actions. The framework also provides observability features for monitoring and telemetry.
Flue is perfect for developers and organizations looking to build the next generation of autonomous agents. Whether you're a seasoned developer or just starting out, Flue provides a flexible and scalable solution for building and deploying AI-powered agents.
Flue's technical highlights include its built-in TypeScript harness, secure sandbox, and support for various deployment options. The framework also includes a range of packages, such as @flue/runtime, @flue/cli, and @flue/sdk, to make it easy to get started.
In short, Flue is the perfect tool for anyone looking to unlock the full potential of autonomous agents and AI workflows. So why wait? Start building your autonomous future with Flue today!
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🧠 Channel: https://t.me/GithubRe14 257
🎯 alibaba/zvec landed on trending. Worth a proper look.
🔗 https://github.com/alibaba/zvec
📝 A lightweight, lightning-fast, in-process vector database
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Zvec is an open-source, in-process vector database that's lightweight, lightning-fast, and designed to embed directly into applications. It delivers production-grade, low-latency, and scalable similarity search with minimal setup. Key features include full-text search, hybrid retrieval, and disk-based indices, making it suitable for large-scale datasets.
zvec supports multiple languages, including Python, Node.js, Go, and Rust, and can be installed via pip, npm, or built from source.
import zvec
schema = zvec.CollectionSchema(name="example", vectors=zvec.VectorSchema("embedding", zvec.DataType.VECTOR_FP32, 4))
collection = zvec.create_and_open(path="./zvec_example", schema=schema)
14 257
🌟 DeusData/codebase-memory-mcp caught my eye on GitHub Trending today.
🔗 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.
──────────────────────────────
The codebase-memory-mcp GitHub repository is home to the fastest and most efficient code intelligence engine for AI coding agents. Its primary purpose is to index an average repository in milliseconds and answer structural queries in under 1ms.
Key features include high-quality parsing through tree-sitter AST analysis across all 158 languages, enhanced with
Hybrid LSP semantic type resolution for 9 languages. The project ships as a single static binary for macOS, Linux, and Windows, with zero dependencies.
To get started, simply download and run the install.sh or install.ps1 script. Options include --ui for graph visualization and --skip-config for binary-only installation.
Technical highlights include LZ4 compression, in-memory SQLite, and fused Aho-Corasick pattern matching for extreme indexing speed. The project also features a built-in 3D graph visualization UI and supports 11 coding agents, including Claude Code, Codex CLI, and VS Code.
The target audience for this project includes developers, researchers, and anyone interested in AI coding agents and code intelligence.
In summary, codebase-memory-mcp is a game-changer for code intelligence — index your codebase in milliseconds and unlock a world of possibilities with its powerful engine and intuitive interface: Code intelligence, supercharged!
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🧠 Channel: https://t.me/GithubRe