Github Top Repositories

🚀 Meet truelockmc/streambert: a gem from today's GitHub trending list. 🔗 https://github.com/truelockmc/streambert 📝 A cross-platform Electron Desktop App to stream and download any Movie, TV Series or Anime in the World. Zero Ads and Tracking ────────────────────────────── Streambert is a cross-platform Electron Desktop App that lets you stream and download movies, TV series, and anime from around the world without any ads or tracking. The app offers customization options, a library feature to track what you've watched, and trending sections to discover new content. It also supports subtitles and multithreading for faster downloads. To use Streambert, you'll need to install Node.js and obtain a free TMDB API read access token. The app is available for Linux, Windows, and can be built from source using npm. Some key features include: - Streaming and downloading movies, TV series, and anime - Customizable interface and features - Library and trending sections - Subtitle support and multithreading for faster downloads - Completely ad-free and tracker-free The app is designed for anyone looking for a convenient and private way to stream and download their favorite movies, TV series, and anime. The developer emphasizes that the app is for educational and personal use only and does not host or distribute any copyrighted content. Here's a simple example of how to install the app on Linux:

sudo dpkg -i streambert_*.deb

Streambert is a powerful tool for streaming and downloading content, and its open-source nature makes it a great option for those who value privacy and customization. With its user-friendly interface and extensive features, Streambert is a great choice for anyone looking for a convenient and private way to enjoy their favorite movies, TV series, and anime. One-liner takeaway: Streambert is the ultimate ad-free streaming and downloading solution for movie and TV lovers. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into rmyndharis/OpenWA — fresh off the trending list. 🔗 https://github.com/rmyndharis/OpenWA 📝 Free, Open Source, Self-Hosted WhatsApp API Gateway ────────────────────────────── Check out OpenWA, a free and open-source WhatsApp API Gateway designed for developers who want full control over their messaging infrastructure. This project offers a pluggable architecture, allowing you to swap database engines, storage backends, and cache layers without changing your application code. Key features include a full dashboard for session, webhook, and API key management, multi-session support to run multiple WhatsApp sessions concurrently, and docker native for zero-configuration production readiness. To get started, you can use the docker option or set up local development environment. The project is built on top of NestJS 11.x, TypeScript 5.x, and Node.js 22 LTS, ensuring a robust and scalable architecture. Whether you're a developer looking for a customizable WhatsApp API solution or an enterprise seeking to integrate WhatsApp into your existing infrastructure, OpenWA is definitely worth exploring. Take control of your messaging infrastructure with OpenWA - the open-source WhatsApp API Gateway that's free, flexible, and powerful. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet msitarzewski/agency-agents: a gem from today's GitHub trending list. 🔗 https://github.com/msitarzewski/agency-agents 📝 A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables. ────────────────────────────── Welcome to The Agency, a collection of specialized AI agents designed to transform your workflow. Each agent has a unique personality, process, and deliverables, making them a valuable addition to your team. The agency-agents repository offers a range of agents across various divisions, including engineering, design, paid media, and sales. You can use these agents in different ways, such as integrating them with tools like Claude Code or using them as a reference for your own projects. To get started, you can install all agents or manually copy the ones you need. The repository also provides technical highlights and code examples to help you understand how the agents work. The target audience for this repository includes developers, designers, and sales professionals looking to automate and improve their workflows. Whether you're building a web application or managing a paid media campaign, The Agency has an agent that can help. In short, The Agency is your dream team of AI specialists - they never sleep, never complain, and always deliver. Assemble your team and transform your workflow today. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into anthropics/claude-plugins-official — fresh off the trending list. 🔗 https://github.com/anthropics/claude-plugins-official 📝 Official, Anthropic-managed directory of high quality Claude Code Plugins. ────────────────────────────── The anthropics/claude-plugins-official GitHub repository is a curated directory of high-quality plugins for Claude Code, offering a range of tools to enhance user experience. With internal plugins developed by Anthropic and third-party plugins from partners and the community, users can explore and install plugins directly from the marketplace via Claude Code's plugin system. To install a plugin, simply run the command /plugin install {plugin-name}@claude-plugins-official or browse through the plugin directory. From a technical standpoint, each plugin follows a standard structure, with required plugin.json metadata and optional configurations for MCP servers, slash commands, agents, and skills. This repository is perfect for developers and users looking to extend Claude Code's capabilities. In short, the anthropics/claude-plugins-official repository is your one-stop shop for unlocking the full potential of Claude Code - install, explore, and innovate! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: obra/superpowers — let's break it down. 🔗 https://github.com/obra/superpowers 📝 An agentic skills framework & software development methodology that works. ────────────────────────────── Superpowers is a software development methodology that enhances your coding agents with a set of composable skills. Its purpose is to streamline the development process, ensuring that your agent follows a structured approach to building software. The key features of Superpowers include brainstorming, test-driven development, and subagent-driven-development, which enable your agent to refine ideas, write tests, and execute plans efficiently. To use Superpowers, you can install it via various plugin marketplaces, such as Claude Code, Codex CLI, or GitHub Copilot CLI, depending on your preferred coding agent. From a technical standpoint, Superpowers emphasizes Test-Driven Development, Systematic over ad-hoc processes, and Complexity reduction, ensuring that your agent prioritizes simplicity and verification. The target audience for Superpowers includes developers who want to leverage coding agents to improve their development workflow. In summary, Superpowers is a powerful tool that helps you build better software with your coding agent - it's like having a superpower for your code. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: can1357/oh-my-pi — let's break it down. 🔗 https://github.com/can1357/oh-my-pi 📝 ⌥ AI Coding agent for the terminal — hash-anchored edits, optimized tool harness, LSP, Python, browser, subagents, and more ────────────────────────────── Introducing oh-my-pi, a cutting-edge coding agent that integrates a powerful IDE into its core. This innovative tool, built on top of Mario Zechner's Pi, is designed to revolutionize the way you code. With 40+ providers, 32 built-in tools, and 13 LSP operations, oh-my-pi is an all-in-one solution for developers. To get started, you can install oh-my-pi using curl -fsSL https://omp.sh/install | sh on macOS and Linux, or bun install -g @oh-my-pi/pi-coding-agent with Bun. Windows users can use irm https://omp.sh/install.ps1 | iex in PowerShell. Oh-my-pi boasts an impressive array of features, including code execution with tool-calling, LSP integration for seamless coding, and a real debugger for efficient issue resolution. It also supports time-traveling stream rules, first-class subagents, and native performance on all platforms, including Windows. The tool is designed to be user-friendly, with features like code review with priorities and verdicts, hashline editing for perfect edits, and hindsight for curated memory. Oh-my-pi also integrates seamlessly with GitHub and supports ACP for editor-drivable functionality. In summary, oh-my-pi is a game-changing coding agent that streamlines your development workflow. With its extensive features and user-friendly interface, it's an essential tool for any serious developer. Revolutionize your coding experience with oh-my-pi – it's the ultimate productivity boost! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 HKUDS/CLI-Anything just hit the trending charts — here's why it matters. 🔗 https://github.com/HKUDS/CLI-Anything 📝 "CLI-Anything: Making ALL Software Agent-Native" -- CLI-Hub:https://clianything.cc/ ────────────────────────────── CLI-Anything is a groundbreaking project that bridges the gap between AI agents and the world's software by making any application agent-ready with a single command line. The purpose is to provide a universal interface for both humans and AI agents, enabling structured and composable workflows. The project offers several key features, including a CLI-Hub where you can browse, install, and manage community-built CLIs, and a SKILL.md generation feature that allows AI agents to discover and install CLIs autonomously. To get started, usage is straightforward: install the cli-anything-hub package, then use the cli-hub command to install your desired CLI. From a technical standpoint, CLI-Anything leverages Python 3.10+, supports multiple AI coding agents, and provides a lightweight and universal interface with minimal overhead. The project is geared towards a wide range of audiences, including developers, AI researchers, and anyone interested in making software more accessible to AI agents. In short, CLI-Anything is revolutionizing the way we interact with software, making it possible for AI agents to seamlessly integrate with any application - the future of human-AI collaboration is here, and it's command-line driven. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🎯 rohitg00/ai-engineering-from-scratch landed on trending. Worth a proper look. 🔗 https://github.com/rohitg00/ai-engineering-from-scratch 📝 Learn it. Build it. Ship it for others. ────────────────────────────── The GitHub repository rohitg00/ai-engineering-from-scratch offers a comprehensive curriculum for learning AI engineering from the ground up. This free, open-source resource provides 428 lessons across 20 phases, covering topics from math foundations to autonomous systems, with a focus on hands-on implementation in Python, TypeScript, Rust, and Julia. The curriculum is structured to help learners build a strong foundation in AI concepts, with each lesson following a consistent pattern of reading, deriving math, writing code, running tests, and keeping reusable artifacts. The repository includes a range of features, such as a placement quiz to help learners find their starting point and a personalized learning path with hour estimates. The target audience for this repository includes individuals who want to understand how AI actually works, not just call APIs. The curriculum is designed to be accessible to those with basic coding skills, and no prior knowledge of AI is required. By the end of the curriculum, learners will have a portfolio of 428 artifacts that they can use in their daily workflow, including prompts, skills, agents, and MCP servers. The repository also includes a range of tools and resources, such as SkillKit, to help learners get started and stay on track. In short, rohitg00/ai-engineering-from-scratch is a valuable resource for anyone looking to learn AI engineering from scratch, with a focus on hands-on implementation and practical application. Build it, don't just learn it. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ multica-ai/andrej-karpathy-skills is making waves. Here's the full picture. 🔗 https://github.com/multica-ai/andrej-karpathy-skills 📝 A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls. ────────────────────────────── The multica-ai/andrej-karpathy-skills GitHub repository is based on Andrej Karpathy's observations about the pitfalls of Large Language Models (LLMs) in coding. The repository aims to improve the behavior of Claude Code, an LLM-based coding assistant, by providing a set of guidelines that address common issues such as wrong assumptions, overcomplication, and lack of clarity. The guidelines are based on four key principles: Think Before Coding, Simplicity First, Surgical Changes, and Goal-Driven Execution. These principles encourage the LLM to think critically, write simple code, make targeted changes, and focus on achieving specific goals. To use these guidelines, you can install them as a Claude Code plugin or add them to your project's CLAUDE.md file. The repository also includes a committed Cursor project rule, allowing you to apply the same guidelines when working with Cursor. The key insight behind these guidelines is that LLMs are good at looping until they meet specific goals, so it's better to give them success criteria and let them work towards it. By following these guidelines, you can expect to see fewer unnecessary changes, simpler code, and cleaner pull requests. In summary, the multica-ai/andrej-karpathy-skills repository provides a set of guidelines to help you get the most out of your LLM-based coding assistant, and the punchy one-liner takeaway is: Give your LLMs clear goals, and they'll code like pros! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🌟 tinyhumansai/openhuman caught my eye on GitHub Trending today. 🔗 https://github.com/tinyhumansai/openhuman 📝 Your Personal AI super intelligence. Private, Simple and extremely powerful. ────────────────────────────── OpenHuman is an open-source AI assistant designed to integrate with your daily life, providing a simple and powerful experience. With 118+ third-party integrations and auto-fetch, it connects to your accounts and pulls data locally, compressing everything into Markdown files stored in a Karpathy-style Obsidian wiki. Key features include: - Simple, UI-first & Human: a clean desktop experience with a mascot that speaks and reacts to its surroundings - Memory Tree + Obsidian Wiki: a local-first knowledge base built from your data and activity - Batteries included: web search, web-fetch scraper, coder toolset, and native voice are wired in by default To get started, you can either download from the website or run the installation script:

curl -fsSL https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.sh | bash

OpenHuman is suitable for anyone looking for a powerful and private AI assistant, with a focus on minimizing vendor sprawl and keeping workflow knowledge on-device. The project is still in early beta and under active development, but it has the potential to revolutionize the way we interact with AI assistants. Star the repo and help others find the path: OpenHuman is the agent that learns about you in minutes, not weeks. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🎯 Imbad0202/academic-research-skills landed on trending. Worth a proper look. 🔗 https://github.com/Imbad0202/academic-research-skills 📝 Academic Research Skills for Claude Code: research → write → review → revise → finalize ────────────────────────────── The Academic Research Skills GitHub repository, created by Imbad0202, offers a comprehensive toolkit for academic researchers to streamline their workflow from research to publication. This suite of skills is designed to work with the Claude Code platform, providing a range of features to assist in research, paper writing, and peer review. The key features include Deep Research with 13-agent research teams, Academic Paper writing assistance with Style Calibration and Writing Quality Check, and Academic Paper Reviewer for multi-perspective peer review. It also includes an Academic Pipeline orchestrator with adaptive checkpoints and claim verification. To use this toolkit, you can install it in 30 seconds using the Claude Code CLI or VS Code. Simply run the commands /plugin marketplace add Imbad0202/academic-research-skills and /plugin install academic-research-skills, then try /ars-plan to start a Socratic dialogue for your paper structure. The technical highlights of this toolkit include its ability to handle the grunt work of research, such as hunting down references, formatting citations, and verifying data, allowing researchers to focus on the parts that require their brainpower. The toolkit is designed with a human-in-the-loop approach, avoiding the failure modes of fully autonomous AI research pipelines. This toolkit is suitable for academic researchers who want to improve the quality and efficiency of their research workflow. With its comprehensive features and user-friendly interface, it's an ideal tool for researchers looking to streamline their workflow and produce high-quality research papers. In summary, the Academic Research Skills toolkit is a powerful tool for academic researchers, providing a range of features to assist in research, paper writing, and peer review, and is designed to work in conjunction with the Claude Code platform. The punchy one-liner takeaway is: Augment your research with AI, not the other way around. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🔍 Deep-diving into colbymchenry/codegraph — fresh off the trending list. 🔗 https://github.com/colbymchenry/codegraph 📝 Pre-indexed code knowledge graph for Claude Code, Codex, Cursor, and OpenCode — fewer tokens, fewer tool calls, 100% local ────────────────────────────── Overview of CodeGraph The codegraph repository offers a cutting-edge solution to supercharge code exploration with semantic code intelligence. It provides a local, pre-indexed knowledge graph for agents like Claude Code, Cursor, Codex CLI, and opencode, enabling them to query the graph instantly instead of scanning files. Key Features The key features of CodeGraph include: - Smart Context Building: one tool call returns entry points, related symbols, and code snippets - Full-Text Search: find code by name instantly across the entire codebase - Impact Analysis: trace callers, callees, and the full impact radius of any symbol - Always Fresh: file watcher uses native OS events with debounced auto-sync - Support for 19+ languages and framework-aware routes for 13 frameworks Usage To get started, run the installer with npx @colbymchenry/codegraph, then initialize your project with codegraph init -i. Agents will use CodeGraph tools automatically when a .codegraph/ directory exists. Technical Highlights CodeGraph offers significant performance improvements, with 94% fewer tool calls and 77% faster exploration in benchmark tests. It is 100% local, with no data leaving your machine and no external services required. Audience CodeGraph is designed for developers who use agents like Claude Code, Cursor, Codex CLI, or opencode for code exploration. It is particularly useful for large codebases and complex projects. Punchy Takeaway CodeGraph revolutionizes code exploration by providing a pre-indexed knowledge graph, making it an indispensable tool for developers seeking to supercharge their coding experience: CodeGraph - explore smarter, not harder. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🔍 Deep-diving into HKUDS/ViMax — fresh off the trending list. 🔗 https://github.com/HKUDS/ViMax 📝 "ViMax: Agentic Video Generation (Director, Screenwriter, Producer, and Video Generator All-in-One)" ────────────────────────────── ViMax is an innovative video generation platform that aims to revolutionize the way we create videos. The traditional process of video creation is time-consuming, requiring multiple specialists and lengthy workflows. ViMax changes this by automating the entire pipeline from narrative input to final video output. The key features of ViMax include: - Idea2Video: transforming raw ideas into complete video stories - Novel2Video: adapting complete novels into episodic video content - Script2Video: creating videos from scripts - AutoCameo: generating videos from user-uploaded photos From a technical standpoint, ViMax uses a multi-agent framework to ensure character and scene consistency. The system features intelligent long script generation, expressive storyboard design, and automated shot planning. ViMax is designed for anyone looking to create high-quality videos without the need for extensive technical expertise. Whether you're a filmmaker, a writer, or simply someone with a great idea, ViMax provides the tools to bring your vision to life. In short, ViMax is a game-changer for video creation - just input your concept, and let ViMax handle the rest. Automate your video production, amplify your creativity. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe