Github Top Repositories

🔍 Deep-diving into agegr/pi-web — fresh off the trending list. 🔗 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, providing a browser workspace for session browsing, real-time chat, model configuration, skill management, and project file preview. Key features include browsing previous conversations, 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 access it at http://localhost:30141. Technical highlights include a customizable port, hostname, and environment variables for configuration. This project is suitable for developers who want a more intuitive interface for their pi coding agent. In short, Pi Web streamlines your pi coding experience - so why not give it a try and level up your coding game? ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🌟 diegosouzapw/OmniRoute caught my eye on GitHub Trending today. 🔗 https://github.com/diegosouzapw/OmniRoute 📝 Never stop coding. Free MIT AI gateway: one endpoint, 268+ providers (50+ free), 500+ models — Claude, GPT, Gemini, Kimi K3, GLM, DeepSeek. Works with Claude Code, Codex, Cursor, Cline & Copilot. Quota-aware auto-fallback, RTK+Caveman compression saves 15-95% tokens, MCP/A2A, multimodal, Desktop/PWA. Built by 500+ contributors. ────────────────────────────── The OmniRoute GitHub repository offers a free AI gateway that connects to 250 providers, with 90+ free options, through a single endpoint. Key features include auto-fallback across providers, RTK + Caveman compression to save up to 95% of tokens, and a cost-optimized routing system. To use OmniRoute, simply point your CLI tools or coding agents to the /v1 endpoint. The repository provides a dashboard to track free tiers, quota, and token usage. Technical highlights include circuit breakers, TLS stealth, and 21,000+ tests for production-grade reliability. OmniRoute is suitable for developers, researchers, and businesses looking to streamline their AI workflows. In a nutshell, OmniRoute helps you never hit limits and save up to 95% tokens while providing a unified endpoint for all your AI tools - code without limits! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: langchain-ai/open_deep_research — let's break it down. 🔗 https://github.com/langchain-ai/open_deep_research 📝 No description. ────────────────────────────── Open Deep Research is a fully open-source, configurable, and high-performance deep research agent that works with multiple model providers, search tools, and MCP servers. It's designed to simplify complex research tasks and has achieved a #6 ranking on the Deep Research Bench Leaderboard. The agent can be easily set up and customized using the configuration.py file, where you can select different LLM providers, search APIs, and other settings. For example, you can choose from various LLM providers like OpenAI, Anthropic, or local models via Ollama, and configure the search API to use Tavily or other compatible tools. To get started, follow the quickstart guide: git clone https://github.com/langchain-ai/open_deep_research.git cd open_deep_research uv venv source .venv/bin/activate uv sync uvx --refresh --from "langgraph-cli[inmem]" --with-editable . --python 3.11 langgraph dev --allow-blocking You can then launch the agent with the LangGraph server locally and access the LangGraph Studio UI in your browser. The agent is also deployable to the LangGraph Platform or Open Agent Platform for non-technical users. With its high performance, flexibility, and ease of use, Open Deep Research is a powerful tool for anyone looking to streamline their research workflow - and with great customization options, you can research smarter, not harder. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet DioxusLabs/dioxus: a gem from today's GitHub trending list. 🔗 https://github.com/DioxusLabs/dioxus 📝 Fullstack app framework for web, desktop, and mobile. ────────────────────────────── Dioxus is a cross-platform framework that lets you build web, desktop, and mobile apps with a single codebase. It features zero-config setup, integrated hot-reloading, and signals-based state management. With Dioxus, you can create fullstack applications that integrate seamlessly with backend functionality using Server Functions. The framework also includes a bundler for deploying to various platforms. Here's an example of a simple counter app in Dioxus:

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 strong focus on community and documentation, with a very active Discord and GitHub community, as well as comprehensive documentation. It supports a wide range of platforms, including web, desktop, mobile, and server-side rendering. Overall, Dioxus is a powerful and flexible framework that makes it easy to build complex, cross-platform apps. With its unique features and strong community support, it's an excellent choice for developers looking to create high-quality, fullstack applications. Write once, run anywhere - that's the power of Dioxus! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ chrislgarry/Apollo-11 is making waves. Here's the full picture. 🔗 https://github.com/chrislgarry/Apollo-11 📝 Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules. ────────────────────────────── The Apollo-11 GitHub repository is a fascinating project that showcases the original guidance computer source code for the Apollo 11 mission's Command and Lunar Modules. This repository, available in multiple languages, aims to provide a accurate representation of the original source code, and welcomes pull requests to correct any discrepancies between the transcribed code and the original scans. Key features include the Comanche055 and Luminary099 source code, which can be compiled using Virtual AGC. The project has been digitized by the Virtual AGC and MIT Museum teams, with contributions from various individuals. The repository is suitable for space enthusiasts, historians, and developers interested in the Apollo 11 mission and its technology. To get started, simply clone the repository and explore the CONTRIBUTING.md file for guidelines on contributing to the project. One punchy takeaway: The Apollo-11 repository is a cosmic time capsule, preserving the code that made history and inspiring new generations of space enthusiasts and developers. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🎯 hyprwm/Hyprland landed on trending. Worth a proper look. 🔗 https://github.com/hyprwm/Hyprland 📝 Hyprland is an independent, highly customizable, dynamic tiling Wayland compositor that doesn't sacrifice on its looks. ────────────────────────────── Hyprland is a dynamic tiling Wayland compositor that offers a unique blend of looks and functionality. With its highly customizable nature, users can tailor the experience to their preferences. Key features include eyecandy such as gradient borders, blur, and animations, as well as powerful plugin support and a built-in plugin manager. To get started, users can check out the installation guide and quick start tutorial. The compositor also boasts tearing support for improved gaming performance, custom bezier curves for smooth animations, and socket-based IPC for easy communication between components. From a technical standpoint, Hyprland is 100% independent, with no dependencies on wlroots, libweston, kwin, or mutter. The codebase is easily expandable and readable, making it a great choice for developers who want to contribute. The target audience for Hyprland includes power users who want a high degree of customization, developers who appreciate the fast and active development cycle, and anyone looking for a bleeding-edge Wayland compositor. In short, Hyprland is the perfect choice for those who want a fast, customizable, and feature-rich Wayland compositor - and with its active community and extensive documentation, it's an excellent option for anyone looking to take their desktop experience to the next level. Hyprland: where looks meet functionality and customization knows no bounds. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ AlexsJones/llmfit is making waves. Here's the full picture. 🔗 https://github.com/AlexsJones/llmfit 📝 Hundreds of models & providers. One command to find what runs on your hardware. ────────────────────────────── Meet llmfit, a terminal tool that simplifies the process of finding and running large language models (LLMs) on your local hardware. Its purpose is to detect your system's RAM, CPU, and GPU, then score hundreds of models across quality, speed, fit, and context dimensions. This allows you to quickly identify which models will run well on your machine. Key features include an interactive TUI, classic CLI mode, support for multi-GPU setups, MoE architectures, dynamic quantization selection, and local runtime providers like Ollama and llama.cpp. You can browse models, benchmark them on your hardware, and even contribute your benchmarking results back to the project. Technical highlights include a memory-bandwidth model for estimating speed, runtime sampling, and real community measurements. The tool is well-documented, with guides for getting started, using the TUI, benchmarking, and contributing to the project. Audience: developers, researchers, and anyone interested in running LLMs on their local hardware. Whether you're looking for a simple way to serve models or need a more advanced tool for managing local LLM instances, llmfit is worth exploring. llmfit is easy to install via various methods, including Scoop, Homebrew, and pip. With its permissive MIT license, you're free to use and contribute to the project. In short, llmfit is a powerful tool that helps you find and run the right LLMs on your hardware. Try it out and see how it can simplify your workflow: "Run the right model, on your hardware, in minutes – not hours." ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into tradesdontlie/tradingview-mcp — fresh off the trending list. 🔗 https://github.com/tradesdontlie/tradingview-mcp 📝 AI-assisted TradingView chart analysis — connect Claude Code to your TradingView Desktop for personal workflow automation ────────────────────────────── The TradingView MCP Bridge is a personal AI assistant for your TradingView Desktop charts. It connects your locally running TradingView app to Claude Code via Chrome DevTools Protocol, enabling AI-assisted chart analysis, Pine Script development, and workflow automation. Key features include: - Pine Script development: write, inject, compile, debug, and iterate on scripts with AI assistance - Chart navigation: change symbols, timeframes, zoom to dates, add/remove indicators - Visual analysis: read chart indicator values, price levels, and annotations - Draw on charts: trend lines, horizontal lines, rectangles, text annotations Usage is straightforward: install the bridge, launch TradingView with the debug port, and add the bridge to your Claude Code MCP config. From a technical perspective, the bridge uses the Chrome DevTools Protocol to interact with your locally running TradingView Desktop instance. It does not connect to TradingView's servers, modify any files, or intercept network traffic. This tool is designed for researchers and developers interested in exploring human-AI collaboration in financial workflows. In summary, the TradingView MCP Bridge empowers your AI assistant to interact with your TradingView charts, and with great power comes great responsibility: use it to augment your trading workflow and stay compliant with TradingView's Terms of Use. One-liner takeaway: The TradingView MCP Bridge unlocks AI-assisted trading workflows, giving you a competitive edge in the markets. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: every-app/open-seo — let's break it down. 🔗 https://github.com/every-app/open-seo 📝 Open source alternative to Semrush and Ahrefs ────────────────────────────── OpenSEO is an open-source alternative to expensive SEO tools like Semrush and Ahrefs. It's an all-in-one SEO tool that you can control, with a pay-as-you-go model. You can connect it with AI agents like Claude Code, OpenClaw, or Hermes, and even build your own custom skills. The key features of OpenSEO include keyword research, rank tracking, competitor insights, backlinks, site audits, and AI visibility. You can use it for free on their website, or self-host it using Docker or Cloudflare. When self-hosting, you'll need a DataForSEO API key, which you can pay for directly. OpenSEO is perfect for individuals and businesses looking for a cost-effective and customizable SEO solution. Whether you're a seasoned developer or just starting out, OpenSEO is a great tool to have in your arsenal. So why not give it a try and take control of your SEO today? Break free from expensive SEO tools and unlock your website's full potential with OpenSEO! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into AstrBotDevs/AstrBot — fresh off the trending list. 🔗 https://github.com/AstrBotDevs/AstrBot 📝 AI Agent Assistant & development framework that integrates lots of IM platforms, LLMs, plugins and AI feature, and can be your openclaw alternative. ✨ ────────────────────────────── AstrBot is an open-source, all-in-one chatbot platform that integrates with popular instant messaging apps, providing a reliable and scalable conversational AI infrastructure for individuals, developers, and teams. Its key features include AI LLM conversations, multimodal support, agent platforms, and plugin extensions with over 1000 plugins available. AstrBot supports multiple platforms such as QQ, WeChat Work, Feishu, DingTalk, Telegram, Slack, and more. The platform also offers various deployment methods, including one-click deployment, Docker deployment, desktop application deployment, and launcher deployment. Technical highlights of AstrBot include its support for internationalization, agent sandbox for safe execution of code, and webUI support. AstrBot is suitable for a wide range of audiences, from individuals building personal AI companions to enterprises creating intelligent customer service systems. In a nutshell, AstrBot is a powerful tool for building conversational AI applications, and its flexibility and customizability make it an excellent choice for anyone looking to create a chatbot. Get started with AstrBot today and discover a new world of conversational AI possibilities! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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💡 oblien/openship just hit the trending charts — here's why it matters. 🔗 https://github.com/oblien/openship 📝 Self-hosted deployment platform ────────────────────────────── Openship is an open-source, self-hostable deployment platform that simplifies the process of pushing code, shipping containers, and managing infrastructure. With built-in CI/CD, zero-config pipelines, and support for any stack, Openship streamlines the deployment process. The platform offers a range of features, including built-in CI/CD, any stack support, full backend management, and real-time monitoring. You can deploy projects using the CLI, desktop app, or web dashboard, and manage infrastructure on Openship Cloud, any Linux server, or multi-server setups. Technical highlights include standard Docker containers for portability, auto-scaling on cloud, and real-time monitoring for live build logs and container metrics. The platform is suitable for solo devs and teams alike, with a REST API and MCP for automation and tooling integration. To get started, simply run

npm i -g openship

or

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

, then

openship up

to install and start the service. One-liner takeaway: Openship simplifies deployment and infrastructure management, making it easier to push code and ship containers, all from a single platform. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe