Github Top Repositories

🔥 dottxt-ai/outlines is trending — and it deserves your attention. 🔗 https://github.com/dottxt-ai/outlines 📝 Structured Outputs ────────────────────────────── Introducing Outlines: A game-changing tool for structured outputs from Large Language Models (LLMs). Outlines guarantees predictable and valid output structures, eliminating the need for post-generation parsing or regex. Key Features: - Works with any model: Same code runs across multiple LLMs - Simple integration: Pass your desired output type using model(prompt, output_type) - Guaranteed valid structure: No more parsing headaches - Provider independence: Switch models without changing code Usage: 1. Install outlines using pip install outlines 2. Connect to your preferred model 3. Start generating structured outputs with model(prompt, output_type) Technical Highlights: - Built with Pydantic models for defining output structures - Supports union types for handling incomplete data - Integrates with popular LLMs like OpenAI and vLLM Audience: Outlines is perfect for developers, data scientists, and anyone working with LLMs who want to streamline their output processing and improve overall efficiency. In a nutshell, Outlines revolutionizes LLM output processing by ensuring structured and predictable results - say goodbye to parsing headaches! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Stop Maintaining Scrapers. Start Shipping Products. Build AI products, not scraping infrastructure. CoreClaw provides ready-to-use Workers & APIs for 1000+ websites — including Google Maps, Instagram, Facebook, YouTube, Amazon, Tiktok and Google Search Scraper. ✔️ No infrastructure ✔️ No proxy management ✔️ No scraper maintenance ✔️ JSON / CSV / REST API 🎁 Create a free account. Get free credits. Explore every Worker. 👉 https://coreclaw.com

💡 Pumpkin-MC/Pumpkin just hit the trending charts — here's why it matters. 🔗 https://github.com/Pumpkin-MC/Pumpkin 📝 Empowering everyone to host fast and efficient Minecraft servers. ────────────────────────────── Pumpkin is a fast and efficient Minecraft server built entirely in Rust, focusing on performance, compatibility, security, flexibility, and extensibility. It supports the latest Java and Bedrock Minecraft server versions, while adhering to Vanilla game mechanics. The server features multi-threading for maximum speed, highly configurable settings, and a foundation for plugin development. To get started, check out the Quick Start guide. Pumpkin is ideal for Minecraft enthusiasts and developers looking for a customizable and efficient server experience. Pumpkin is currently under heavy development, but it's already showing great promise. One-liner takeaway: Pumpkin is the future of Minecraft servers, built for speed, security, and customization. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 hyprwm/Hyprland just hit the trending charts — here's why it matters. 🔗 https://github.com/hyprwm/Hyprland 📝 Hyprland is an independent, highly customizable, dynamic tiling Wayland compositor that doesn't sacrifice on its looks. ────────────────────────────── Meet Hyprland, a dynamic tiling Wayland compositor that's all about delivering a seamless user experience without compromising on looks. It's designed to be highly customizable, with features like gradient borders, blur, animations, and shadows. What sets Hyprland apart is its independence - it doesn't rely on other compositors like wlroots or libweston. To get started with Hyprland, you can follow the installation guide, and then dive into the quick start tutorial to explore its capabilities. The compositor also offers a range of configuration options to tailor it to your needs. Some of the key features of Hyprland include powerful plugin support, custom bezier curves for animations, and tearing support for better gaming performance. It's also designed to be easily expandable, with a readable codebase and fast development. Whether you're a developer or just a user looking for a highly customizable Wayland compositor, Hyprland is worth checking out. With its bleeding-edge features and active community, it's an exciting project to watch. In short, Hyprland is the perfect blend of form and function - beauty and brains. Experience the future of window management with Hyprland: where looks meet performance. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🎯 DioxusLabs/dioxus landed on trending. Worth a proper look. 🔗 https://github.com/DioxusLabs/dioxus 📝 Fullstack app framework for web, desktop, and mobile. ────────────────────────────── Dioxus is a cross-platform framework that allows you to build web, desktop, and mobile applications with a single codebase. It features zero-config setup, integrated hot-reloading, and signals-based state management. With Dioxus, you can write once, run anywhere - from the web to desktop and mobile platforms. Some of the key features of Dioxus include: - Cross-platform apps in three lines of code - Ergonomic state management that combines the best of React, Solid, and Svelte - Built-in featureful, type-safe, fullstack web framework - Integrated bundler for deploying to the web, macOS, Linux, and Windows To get started with Dioxus, you can use the following Rust code:

fn app() -> Element {
    let mut count = use_signal(|| 0);

    rsx! {
        h1 { "High-Five counter: {count}" }
        button { onclick: move |_| count += 1, "Up high!" }
        button { onclick: move |_| count -= 1, "Down low!" }
    }
}

Dioxus has a growing community-driven ecosystem with a very active Discord and GitHub community. The framework is suitable for web developers, desktop developers, and mobile developers who want to build cross-platform applications with a single codebase. In short, Dioxus is the ultimate framework for building cross-platform applications with Rust - write once, run anywhere, and have fun doing it! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: dreamhunter2333/cloudflare_temp_email — let's break it down. 🔗 https://github.com/dreamhunter2333/cloudflare_temp_email 📝 CloudFlare free temp domain email 免费收发 临时域名邮箱 支持附件 IMAP SMTP TelegramBot ────────────────────────────── Cloudflare Temp Email is a free, open-source temporary email service built on Cloudflare. Its key features include a modern, responsive interface, support for multiple languages, and a high-performance Rust WASM email parser. The service allows users to create temporary email addresses with optional passwords for extra security. To use the service, simply deploy it to Cloudflare Workers using the provided documentation and GitHub Action deployment guide. The service also includes a Telegram Bot and Webhook support for message pushing and integration. From a technical perspective, the project utilizes a range of technologies including Vue 3, Vite, TypeScript, Cloudflare Workers, and Rust WASM for email parsing. The database is powered by Cloudflare D1, and storage options include Cloudflare KV and R2, with optional S3 support. The service is designed for developers and individuals looking for a free, temporary email solution. It's perfect for testing, development, or personal use, and the community-driven approach ensures it's constantly evolving and improving. One-liner takeaway: Cloudflare Temp Email is a free, high-performance temporary email service that's perfect for developers, testers, and anyone needing a secure, temporary email solution. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ tirth8205/code-review-graph is making waves. Here's the full picture. 🔗 https://github.com/tirth8205/code-review-graph 📝 Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows. ────────────────────────────── The code-review-graph tool helps AI coding assistants review code more efficiently by building a structural map of your codebase and tracking changes incrementally. It uses Tree-sitter to parse your code and MCP to provide context to your AI assistant, reducing the number of tokens it needs to read. To get started, you can install it via pip install code-review-graph and then run code-review-graph install to auto-detect and configure all supported platforms. The tool supports a wide range of languages, including Python, JavaScript, and Java, and allows you to add your own language support without forking the project. One of the key features is its ability to perform blast-radius analysis, which identifies the minimal set of files that need to be read by your AI assistant when a change is made. This results in significant token reduction, with a median per-question token reduction of ~82x across 6 real repositories. The tool also includes a GitHub Action that runs the analysis as a composite action, providing risk-scored PR reviews in CI without sending any source code to external services. Overall, code-review-graph is a powerful tool that can help you review code more efficiently and effectively. The key takeaway: stop burning tokens, start reviewing smarter with code-review-graph. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ rohitg00/ai-engineering-from-scratch is making waves. Here's the full picture. 🔗 https://github.com/rohitg00/ai-engineering-from-scratch 📝 Learn it. Build it. Ship it for others. ────────────────────────────── The AI Engineering from Scratch curriculum is a comprehensive, 20-phase program designed to bridge the gap between AI usage and professional preparation. With 503 lessons and ~320 hours of content, it covers a wide range of topics from math foundations to autonomous systems, using languages like Python, TypeScript, Rust, and Julia. Each lesson follows a consistent structure, where you derive the math, write the code, run the test, and keep the resulting artifact, which can be a prompt, skill, agent, or MCP server. The curriculum is suitable for anyone who can write code and wants to understand how AI actually works. To get started, you can read lessons online, clone and run the code, or use the built-in agent skills to find your level and track progress. By the end, you'll have a portfolio of 503 reusable tools and a deep understanding of AI engineering. Build it, use it, ship it - that's the motto, and with this curriculum, you'll be well on your way to becoming an AI engineering expert, with the power to create reusable tools that you actually understand because you built them. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🎯 agegr/pi-web landed on trending. Worth a proper look. 🔗 https://github.com/agegr/pi-web 📝 Web UI for the pi coding agent ────────────────────────────── Pi Web is a local web UI for the pi coding agent, allowing you to browse sessions, chat in real-time, manage models and skills, and preview project files from a browser workspace. Key features include browsing previous conversations by project, trying different directions safely, working across branches, and configuring models from the web UI. To get started, simply run npx @agegr/pi-web@latest or install globally with npm install -g @agegr/pi-web and then run pi-web. The project is built with a modular structure, including API handlers, components, and libraries for HTTP dispatch, session management, and file access. Pi Web is perfect for developers who want to streamline their workflow and have a more visual interface for their pi coding agent. Get coding with Pi Web - your new favorite pi coding companion! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🌟 oblien/openship caught my eye on GitHub Trending today. 🔗 https://github.com/oblien/openship 📝 Self-hosted deployment platform ────────────────────────────── Openship is an open-source, self-hostable deployment platform with built-in CI/CD. It allows you to push code, ship containers, and manage infrastructure from a desktop app, web dashboard, or CLI. The platform is designed for both solo developers and teams, providing features like built-in CI/CD, any stack support, full backend management, domains and SSL management, CDN, mail server, backups, and real-time monitoring. To get started, you can choose from three interfaces: a desktop app for a full GUI experience, a web dashboard for team collaboration, or a CLI for scripting and automation. Here's a quick start example using the CLI:

curl -fsSL https://get.openship.io | sh
openship

Openship is production-ready and actively developed, with a growing community of contributors. Whether you're a solo dev or a large team, Openship streamlines your deployment process, making it easy to focus on what matters – building great software. With Openship, you can ship code, not configs. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🎯 ComposioHQ/awesome-claude-skills landed on trending. Worth a proper look. 🔗 https://github.com/ComposioHQ/awesome-claude-skills 📝 A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows ────────────────────────────── The Claude Skills repository is a treasure trove of production-ready skills and plugins designed to enhance productivity across various use cases on Claude.ai, Claude Code, and other coding agents. With 1000+ skills available, developers can tap into a wide range of functionalities, from document processing and development tools to data analysis and business solutions. To get started, users can install the connect-apps plugin and run the setup to connect Claude to 500+ apps. The repository also provides a quickstart guide and a comprehensive list of skills, including document processing, development and code tools, data and analysis, and more. The skills are designed to be progressively loaded, allowing agents to host hundreds of skills without bloating their context window. The repository is open-source and Apache-2.0 licensed, making it easy for developers to contribute and build upon the existing skills. Whether you're a developer looking to automate tasks, a business user seeking to streamline workflows, or a researcher aiming to analyze data, the Claude Skills repository has something for everyone. One-liner takeaway: Unlock the full potential of Claude with 1000+ production-ready skills and take your productivity to the next level! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into shiyu-coder/Kronos — fresh off the trending list. 🔗 https://github.com/shiyu-coder/Kronos 📝 Kronos: A Foundation Model for the Language of Financial Markets ────────────────────────────── Kronos is the first open-source foundation model specifically designed for the "language" of financial markets, trained on data from over 45 global exchanges. It's a decoder-only model that leverages a novel two-stage framework: a specialized tokenizer quantizes continuous, multi-dimensional K-line data into hierarchical discrete tokens, and a large, autoregressive Transformer is then pre-trained on these tokens. The model is unique in its ability to handle the high-noise characteristics of financial data, making it a unified model for diverse quantitative tasks. You can access a live demo to visualize Kronos's forecasting results for the BTC/USDT trading pair. To get started, you can install the dependencies with pip install -r requirements.txt and load a pre-trained Kronos model and its corresponding tokenizer from the Hugging Face Hub. The model is suitable for quantitative analysts, data scientists, and developers interested in financial forecasting. Here's a simple example of how to use the `KronosPredictor` class:

from model import Kronos, KronosTokenizer, KronosPredictor
tokenizer = KronosTokenizer.from_pretrained("NeoQuasar/Kronos-Tokenizer-base")
model = Kronos.from_pretrained("NeoQuasar/Kronos-small")
predictor = KronosPredictor(model, tokenizer, max_context=512)

Kronos is a powerful tool for anyone looking to make more accurate financial forecasts - forecast your future with Kronos. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 diegosouzapw/OmniRoute just hit the trending charts — here's why it matters. 🔗 https://github.com/diegosouzapw/OmniRoute 📝 Never stop coding. Free MIT AI gateway: one endpoint, 268+ providers (50+ free), 500+ models — Kimi, Claude, GPT, OpenAI, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cline & Copilot. Quota-aware auto-fallback, RTK+Caveman compression saves 15-95% tokens, MCP/A2A, Desktop/PWA. Built by 500+ contributors ────────────────────────────── OmniRoute is a game-changing tool that simplifies the process of working with multiple AI providers. Its main purpose is to provide a unified endpoint for accessing over 250 AI providers, including 90+ free tiers. This means you can use various AI tools like Claude Code, Codex, and Cursor through a single configuration. With OmniRoute, you can save up to 95% of tokens thanks to its RTK and Caveman compression features. It also offers auto-fallback across providers, ensuring that you never hit rate limits and can keep working without interruptions. The tool is production-grade, with features like circuit breakers, TLS stealth, and memory guardrails. OmniRoute is designed for developers and teams who want to streamline their AI workflow and reduce costs. Its technical highlights include support for 18 routing strategies, a simple and intuitive dashboard, and a large community of users and contributors. In short, OmniRoute is a powerful tool that helps you maximize your AI potential while minimizing costs and complexities - never stop coding with OmniRoute! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe