Github Top Repositories

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⚡ msitarzewski/agency-agents is making waves. Here's the full picture. 🔗 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. ────────────────────────────── Introducing the Agency: a comprehensive collection of AI agent personalities, each with deep expertise, unique voice, and deliverable-focused approach. The agency is divided into several divisions, including Engineering, Design, Paid Media, and Sales. Key Features: - Specialized agents with unique personalities and approaches - Deliverable-focused with real code, processes, and measurable outcomes - Production-ready with battle-tested workflows and success metrics Usage: - Option 1: Use with Claude Code for seamless integration - Option 2: Use as reference for inspiration and guidance - Option 3: Use with other tools like GitHub Copilot, Antigravity, and more Technical Highlights: - Each agent file contains identity, personality traits, core mission, workflows, technical deliverables, and success metrics - Agents are designed to be used with various tools and platforms Audience: - Developers looking for specialized AI agents to enhance their workflow - Teams seeking to improve their productivity and efficiency - Individuals interested in AI and machine learning Takeaway: With the Agency, you can assemble your dream team of AI specialists and supercharge your workflow! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🌟 truelockmc/streambert caught my eye on GitHub Trending today. 🔗 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 your favorite Movies, TV Series, and Anime from around the world, completely ad-free and tracker-free. With Streambert, you can stream content from various sources, download videos for offline viewing, and even manage subtitles. The app also features a customizable interface, a library to track your watched content, and a trending section to discover new titles. To get started, you'll need to install Node.js, obtain a free TMDB API key, and install ffmpeg for downloading content. The app is available for Linux, Windows, and can be built from source using npm. Streambert is designed for personal and educational use only, and users are responsible for ensuring they have the legal rights to access any content. The app does not host or distribute copyrighted content, and instead, sources content from third-party providers. In short, Streambert is your one-stop-shop for streaming and downloading your favorite content, with a focus on privacy and customization - watch what you want, without the hassle of ads and trackers. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: trimstray/the-book-of-secret-knowledge — let's break it down. 🔗 https://github.com/trimstray/the-book-of-secret-knowledge 📝 A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more. ────────────────────────────── The Book of Secret Knowledge is a curated collection of tools, resources, and knowledge for System and Network administrators, DevOps, Pentesters, and Security Researchers. It includes CLI tools, GUI tools, Web tools, Shell plugins, and more. This repository is constantly updated with new items and is open to contributions from the community. You can find inspiring lists, cheatsheets, blogs, and podcasts related to various topics, including networking, security, and development. Whether you're a seasoned professional or just starting out, this repository has something for everyone. Check it out and stay up-to-date with the latest tools and knowledge in the field! You'll find it's a treasure trove of information - Dig in and uncover the secrets! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ Imbad0202/academic-research-skills is making waves. Here's the full picture. 🔗 https://github.com/Imbad0202/academic-research-skills 📝 Academic Research Skills for Claude Code: research → write → review → revise → finalize ────────────────────────────── The academic-research-skills GitHub repository is a comprehensive tool designed to support academic researchers throughout the entire research pipeline, from planning to publication. This repository provides a suite of skills for Claude Code, a platform that leverages AI to assist with various tasks. The key features of this repository include its ability to handle deep research tasks, such as systematic reviews and fact-checking, as well as aiding in the writing and review of academic papers. It incorporates a range of modes for different research tasks, including Socratic guidance for research planning and a systematic review mode for thorough literature analysis. Technical highlights of this repository include its integration with the Claude Code platform, allowing for seamless interaction with AI tools. It also supports various file formats, including Markdown and LaTeX, making it versatile for different types of research outputs. The intended audience for this repository includes academic researchers across various disciplines who are looking to leverage AI tools to improve the efficiency and quality of their research. By utilizing this repository, researchers can focus on high-level thinking and interpretation, while delegating more mundane tasks to AI assistants. In terms of usage, getting started with the repository involves installing the academic-research-skills plugin through the Claude Code marketplace and then accessing its various features through a set of predefined commands. For instance, users can initiate a research project by asking for guidance on a specific topic or by requesting a literature review on a particular subject. Overall, the academic-research-skills repository represents a powerful tool for academics looking to harness the potential of AI in their research. By automating routine tasks and providing intelligent assistance, it enables researchers to concentrate on the creative and intellectual aspects of their work, leading to higher quality research outcomes. One-liner takeaway: The academic-research-skills repository is a game-changer for researchers, offering a suite of AI-powered tools that streamline the research process, from planning to publication, and free up time for the high-level thinking that drives real innovation. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🎯 multica-ai/multica landed on trending. Worth a proper look. 🔗 https://github.com/multica-ai/multica 📝 The open-source managed agents platform. Turn coding agents into real teammates — assign tasks, track progress, compound skills. ────────────────────────────── Multica is an open-source managed agents platform that turns coding agents into real teammates. With Multica, you can assign tasks to agents like you'd assign to colleagues, and they'll pick up the work, write code, report blockers, and update statuses autonomously. The platform features agents as teammates, squads for stable routing, autonomous execution, reusable skills, and unified runtimes. To get started, you can install Multica using Homebrew, an install script, or PowerShell. Then, set up and start the daemon, verify your runtime, create an agent, and assign your first task. The platform has a simple CLI for connecting your local machine to Multica, managing workspaces, and running the agent daemon. Multica is designed for human + AI teams and works with various coding agents, including Claude Code, Codex, and GitHub Copilot CLI. The platform is built using Next.js, Go, and PostgreSQL, and has a modular architecture. Whether you're a developer, a contributor, or just someone interested in AI-powered teamwork, Multica is worth exploring. With its cutting-edge technology and user-friendly interface, Multica is poised to revolutionize the way we work with AI agents. Your next 10 hires won't be human - they'll be Multica agents. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 antoinezambelli/forge just hit the trending charts — here's why it matters. 🔗 https://github.com/antoinezambelli/forge 📝 A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows ────────────────────────────── Forge is a reliability layer for self-hosted LLM tool-calling, designed to lift local models to the top of their class on multi-step agentic workflows. It achieves this through guardrails (rescue parsing, retry nudges, step enforcement) and context management (VRAM-aware budgets, tiered compaction). Key features include a WorkflowRunner for defining tools and running structured agent loops, Guardrails middleware for validating responses and enforcing required steps, and a Proxy server for transparently applying guardrails to local model servers. Forge supports various backends, including Ollama, llama-server, Llamafile, and Anthropic. It's built with Python 3.12+ and is licensed under MIT. The target audience is developers and researchers working with self-hosted LLMs, particularly those building multi-step workflows, multi-turn conversations, and long-running sessions. In a nutshell, Forge helps you build more reliable and efficient self-hosted LLM tool-calling workflows, so you can focus on what matters – creating value for your users. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔥 can1357/oh-my-pi is trending — and it deserves your attention. 🔗 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 ────────────────────────────── Oh My Pi is a powerful coding agent that ships with a comprehensive set of tools, designed to streamline your development workflow. With 40+ providers, 32 built-in tools, and 13 LSP operations, this agent is capable of handling a wide range of tasks, from code execution and debugging to project management and conflict resolution. To get started, you can install Oh My Pi using curl -fsSL https://omp.sh/install | sh on macOS or Linux, or bun install -g @oh-my-pi/pi-coding-agent using Bun. On Windows, you can use irm https://omp.sh/install.ps1 | iex in PowerShell. Oh My Pi boasts an impressive array of features, including time-traveling stream rules, first-class subagents, and unapologetically native support for macOS, Linux, and Windows. The agent also supports code review with priorities and a verdict, hashline: edit by content hash, and hindsight: memory the agent curates. One of the key highlights of Oh My Pi is its ability to integrate seamlessly with your existing tools and workflows. For example, you can use read pr://1428 to read a PR, or search to walk a diff like a directory. The agent also supports preview, then accept for proposed edits. Whether you're a seasoned developer or just starting out, Oh My Pi has something to offer. With its extensive range of features and tools, this coding agent is designed to help you work more efficiently and effectively. Takeaway: Oh My Pi is the ultimate coding sidekick, helping you code smarter, not harder. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet teng-lin/notebooklm-py: a gem from today's GitHub trending list. 🔗 https://github.com/teng-lin/notebooklm-py 📝 Unofficial Python API and agentic skill for Google NotebookLM. Full programmatic access to NotebookLM's features—including capabilities the web UI doesn't expose—via Python, CLI, and AI agents like Claude Code, Codex, and OpenClaw. ────────────────────────────── The notebooklm-py GitHub repository provides a comprehensive and unofficial Python API for NotebookLM, a powerful tool for research automation and content generation. With this library, developers can access NotebookLM's features programmatically, including capabilities not exposed in the web UI. The API supports Python 3.10+ and can be installed via pip install notebooklm-py. Key features include: * Complete NotebookLM coverage: create, list, rename, and delete notebooks, as well as manage sources, chat, research, and sharing. * Content generation: audio overviews, videos, slide decks, quizzes, flashcards, infographics, data tables, and mind maps. * Beyond the web UI: batch downloads, quiz/flashcard export, mind map data extraction, and more. The library can be used in three ways: 1. Python API: for application integration, async workflows, and custom pipelines. 2. CLI: for shell scripts, quick tasks, and CI/CD automation. 3. Agent integration: for integrating with AI agents like Claude Code, Codex, and OpenClaw. The repository includes a quick start guide, CLI reference, and Python API documentation to help users get started. notebooklm-py is ideal for prototypes, research, and personal projects, and is not affiliated with Google. However, please note that it uses undocumented Google APIs, which can change without notice, and may be subject to rate limits. To get started, users can install the library via pip and follow the quick start guide. For more information, refer to the repository's documentation, including the troubleshooting guide and release notes. In summary, notebooklm-py is a powerful tool for unlocking the full potential of NotebookLM, and with its comprehensive API and ease of use, it's a must-try for anyone looking to automate research and content generation tasks - Automate your research and content creation with notebooklm-py, and take your productivity to the next level! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: rohitg00/ai-engineering-from-scratch — let's break it down. 🔗 https://github.com/rohitg00/ai-engineering-from-scratch 📝 Learn it. Build it. Ship it for others. ────────────────────────────── The AI Engineering from Scratch curriculum is designed to bridge the gap between using AI tools and understanding how they work. With 435 lessons and 20 phases, this free, open-source resource covers everything from math foundations to deep learning and autonomous systems. Each lesson follows a consistent structure, where you build an algorithm from scratch, then use it through a production library, resulting in a reusable artifact that you can apply to real-world problems. The curriculum is suitable for anyone who wants to understand how AI works, not just call APIs. By the end, you'll have a portfolio of 435 artifacts that you actually understand because you built them. 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 engineer from scratch. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔥 ChromeDevTools/chrome-devtools-mcp is trending — and it deserves your attention. 🔗 https://github.com/ChromeDevTools/chrome-devtools-mcp 📝 Chrome DevTools for coding agents ────────────────────────────── Introducing ChromeDevTools/chrome-devtools-mcp, a game-changing tool that lets your coding agent control and inspect a live Chrome browser. This Model-Context-Protocol (MCP) server gives your AI coding assistant access to the full power of Chrome DevTools, enabling reliable automation, in-depth debugging, and performance analysis. The key features of chrome-devtools-mcp include: - Getting performance insights by recording traces and extracting actionable performance insights - Advanced browser debugging capabilities, such as analyzing network requests, taking screenshots, and checking browser console messages - Reliable automation using puppeteer to automate actions in Chrome and automatically wait for action results To use chrome-devtools-mcp, you'll need Node.js, Chrome, and npm. The tool supports a range of coding agents, including Antigravity, Claude, Cursor, and Copilot, and provides a CLI for use without MCP. From a technical standpoint, chrome-devtools-mcp is built using Node.js and leverages the power of Chrome DevTools and puppeteer. The tool is designed to be flexible and customizable, with options for slim mode and performance analysis. chrome-devtools-mcp is perfect for developers who want to supercharge their coding workflow with the power of Chrome DevTools. Whether you're looking to automate tasks, debug issues, or analyze performance, this tool has got you covered. In short, chrome-devtools-mcp is a must-have tool for any developer looking to take their coding skills to the next level - it's like having a superpower in your coding toolbox! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: rmyndharis/OpenWA — let's break it down. 🔗 https://github.com/rmyndharis/OpenWA 📝 Free, Open Source, Self-Hosted WhatsApp API Gateway ────────────────────────────── Introducing OpenWA, a free, open-source WhatsApp API Gateway designed for developers who need full control over their messaging infrastructure. With a pluggable architecture, OpenWA allows you to swap database engines, storage backends, and cache layers without changing a single line of application code. The key features of OpenWA include a REST API, multi-session support, webhooks, a web dashboard, and API key authentication. It also supports text messages, media messages, message reactions, bulk messaging, and message status tracking. To get started with OpenWA, you can use the docker compose command to start the application in development mode or production mode. The project uses a Node.js runtime, NestJS framework, and TypeScript language. OpenWA is suitable for developers who want to build custom messaging applications without vendor lock-in or hidden paywalls. With its flexible architecture and comprehensive documentation, OpenWA is an ideal choice for businesses and individuals looking for a reliable and scalable WhatsApp API Gateway. Take control of your messaging infrastructure with OpenWA - the open-source WhatsApp API Gateway that puts you in the driver's seat! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet HKUDS/CLI-Anything: a gem from today's GitHub trending list. 🔗 https://github.com/HKUDS/CLI-Anything 📝 "CLI-Anything: Making ALL Software Agent-Native" -- CLI-Hub:https://clianything.cc/ ────────────────────────────── CLI-Anything is a revolutionary project that bridges the gap between AI agents and the world's software by making any software agent-ready with just one command line. The project's purpose is to empower agents to interact with various software, enabling them to perform tasks autonomously. Key features of CLI-Anything include the CLI-Hub, a central registry where you can browse, search, and install any CLI with a single pip install cli-anything-hub command, followed by cli-hub install <name>. The project also provides demos that showcase AI agents using generated CLIs to produce real artifacts. To get started, users can visit the CLI-Hub to explore and install CLIs. The project is built using python, click, and pytest, with a focus on JSON and human-readable output. CLI-Anything is designed for developers, AI researchers, and power users who want to automate tasks and integrate various software with AI agents. With its extensive test coverage and security features, the project ensures reliable and secure interactions between agents and software. In summary, CLI-Anything is a game-changer for AI-agent interaction, and its potential is vast: one command line to rule them all. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet obra/superpowers: a gem from today's GitHub trending list. 🔗 https://github.com/obra/superpowers 📝 An agentic skills framework & software development methodology that works. ────────────────────────────── Superpowers is a software development methodology for coding agents, providing a set of composable skills and instructions to enhance their capabilities. The system starts by asking users about their goals, then breaks down the project into manageable chunks, and creates an implementation plan emphasizing test-driven development, simplicity, and code quality. Key features include test-driven-development, systematic-debugging, and collaboration tools, such as brainstorming, writing-plans, and executing-plans. To use Superpowers, simply install the plugin for your preferred coding agent, such as Claude Code, Codex CLI, or GitHub Copilot CLI. From a technical standpoint, Superpowers is built around a skills library that includes testing, debugging, and collaboration tools, all designed to work seamlessly across different coding agents. This project is suitable for developers and teams looking to streamline their development process and improve code quality. In short, Superpowers is an innovative approach to software development that can supercharge your coding agents and take your projects to the next level - automating the process, not just the code. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ dotnet/skills is making waves. Here's the full picture. 🔗 https://github.com/dotnet/skills 📝 Repository for skills to assist AI coding agents with .NET and C# ────────────────────────────── The dotnet/skills repository is a curated set of core skills and custom agents for coding agents, following the Agent Skills standard from agentskills.io. It includes plugins for various .NET tasks such as data access, performance investigations, build skills, and more. To use these skills, you can install them via the Copilot CLI, VS Code, or Cursor, by adding the marketplace and installing individual plugins. You can also install skills using the Codex CLI. The repository is perfect for .NET developers looking to automate tasks and improve their workflow. It's also a great resource for contributors who want to add new plugins or improve existing ones. The technical highlights of this repository include its compatibility with OpenAI Codex and its use of the agentskills.io standard. The takeaway: Unlock your .NET development potential with dotnet/skills and take your coding to the next level! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe