⚡ multica-ai/multica is making waves. Here's the full picture.

🔗 https://github.com/multica-ai/multica
📝 The open-source managed agents platform. Turn coding agents into real teammates — assign tasks, track progress, compound skills.
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Multica is an open-source platform that turns coding agents into real teammates. With Multica, you can assign tasks to agents, track progress, and compound reusable skills over time. Key features include agents as teammates, squads, autonomous execution, reusable skills, unified runtimes, and multi-workspace support.

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 is designed for human + AI teams and supports various agent providers, including Claude Code, Codex, and GitHub Copilot CLI. Multica's technical highlights include a Next.js frontend, Go backend, PostgreSQL database, and local agent daemon.

Audience: Developers, teams, and organizations looking to leverage AI agents to streamline their workflow and improve productivity.

In summary, Multica empowers you to work with coding agents as teammates, unlocking a new era of productivity and efficiency - your next 10 hires won't be human.

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🧠 Channel: https://t.me/GithubRe

🚀 Meet trimstray/the-book-of-secret-knowledge: a gem from today's GitHub trending list.

🔗 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.
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The Book of Secret Knowledge is a GitHub repository containing a vast collection of lists, manuals, cheatsheets, blogs, hacks, and tools. It's a valuable resource for System and Network administrators, DevOps, Pentesters, and Security Researchers. The repo is open-source and welcomes contributions from everyone.

It covers various topics such as CLI Tools, GUI Tools, Web Tools, Systems/Services, Networks, and more. The Table of Contents is well-organized, making it easy to find specific information.

With its easy-to-contribute guidelines and clear rules, this project aims to provide high-quality content. Whether you're looking for shell plugins, text editors, or network tools, the Book of Secret Knowledge has got you covered.

In short, the Book of Secret Knowledge is a one-stop-shop for anyone looking to expand their knowledge and toolkit - use it wisely.

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🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: odoo/odoo — let's break it down.

🔗 https://github.com/odoo/odoo
📝 Odoo. Open Source Apps To Grow Your Business.
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Oboo is an open-source suite of business apps, offering a wide range of tools to manage various aspects of a business. Key features include CRM, Website Builder, eCommerce, Warehouse Management, and more. These apps can be used standalone or integrated to form a full-featured ERP system. To get started, follow the setup instructions or explore the Odoo eLearning platform. Developers can dive into the developer tutorials to learn more. From a technical standpoint, Odoo is built with a focus on security, with a responsible disclosure policy in place. Whether you're a business user or a developer, Odoo has something to offer. One thing is sure: Oboo will revolutionize the way you manage your business - all in one place!

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🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: NVlabs/LongLive — let's break it down.

🔗 https://github.com/NVlabs/LongLive
📝 LongLive 2.0: Infra - Long Video Gen
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LongLive 2.0 is an NVFP4 parallel infrastructure for long video generation, allowing for real-time interactive video generation. The key features of this project include balanced sequence parallelism for AR training, multi-shot attention sink, and sequence parallel inference. To get started, you can follow the Quick Start guide, which provides examples for both BF16 and NVFP4 setups. The project is designed to be user-friendly, with a Full Documentation available for more detailed information. The code is released under the Apache 2.0 license, and the authors request that you cite their work if you find it useful. With LongLive 2.0, you can generate long videos in real-time, making it a powerful tool for a variety of applications. LongLive 2.0: empowering creators to generate stunning long videos in no time.

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🧠 Channel: https://t.me/GithubRe

⚡ yt-dlp/yt-dlp is making waves. Here's the full picture.

🔗 https://github.com/yt-dlp/yt-dlp
📝 A feature-rich command-line audio/video downloader
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yt-dlp is a powerful command-line tool for downloading audio and video from over a thousand sites. It's a fork of the popular youtube-dl project, with a wide range of features and options. With yt-dlp, you can download videos in various formats, extract audio, and even modify metadata.

The tool is highly customizable, with support for configuration files, authentication, and plugins. You can use it on multiple platforms, including Windows, Linux, and MacOS, and it's available in various release channels, including stable, nightly, and master.

To get started, you can install yt-dlp using pip or download the binaries from the official repository. The tool has an active community and is regularly updated to support new sites and features.

yt-dlp is perfect for users who want more control over their video downloads, including developers, power users, and anyone looking for a reliable and flexible tool.

Takeaway: With yt-dlp, you can "download the internet, one video at a time".

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🧠 Channel: https://t.me/GithubRe

🎯 janestreet/magic-trace landed on trending. Worth a proper look.

🔗 https://github.com/janestreet/magic-trace
📝 magic-trace collects and displays high-resolution traces of what a process is doing
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The magic-trace tool is a fascinating new way to understand what your code is actually doing. It collects and displays high-resolution traces of a process, allowing you to figure out why an application is handling some requests slowly, or to get a history of what your application was doing before it crashed. Key features include low overhead (2%-10%), no required application changes, and the ability to trace every function call with ~40ns resolution. To use magic-trace, simply point it to a process and let it run, or attach it to a running process and detach it with Ctrl+C. The tool is designed for developers who want to gain a deeper understanding of their code's performance and behavior. From a technical standpoint, magic-trace uses Intel Processor Trace to snapshot a ring buffer of all control flow leading up to a chosen point in time. With its interactive timeline and zoomable interface, magic-trace is an invaluable tool for anyone looking to optimize their code.

magic-trace

is the ultimate debugging sidekick - it's like having a superpower that lets you see inside your code!

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🧠 Channel: https://t.me/GithubRe

💡 Lum1104/Understand-Anything just hit the trending charts — here's why it matters.

🔗 https://github.com/Lum1104/Understand-Anything
📝 Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
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The Understand Anything GitHub repository is a powerful tool that helps developers navigate and understand complex codebases, knowledge bases, and documentation. Its key features include an interactive knowledge graph, business logic understanding, and analysis of knowledge bases. With guided tours, fuzzy and semantic search, and diff impact analysis, developers can easily explore and comprehend large codebases. The repository supports multiple platforms, including Claude Code, Codex, and VS Code, and is suitable for developers of all levels. To get started, simply install the plugin, analyze your codebase, and explore the interactive dashboard. As the creator says, the goal isn't a graph that wows you with how complex your codebase is — it's a graph that quietly teaches you how every piece fits together. Understand Anything is the ultimate tool for any developer looking to turn complexity into clarity - and that's a game-changer!

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🧠 Channel: https://t.me/GithubRe

🔥 rohitg00/ai-engineering-from-scratch is trending — and it deserves your attention.

🔗 https://github.com/rohitg00/ai-engineering-from-scratch
📝 Learn it. Build it. Ship it for others.
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The AI Engineering from Scratch curriculum is a comprehensive, free, and open-source resource designed to bridge the gap between AI education and professional readiness. With 435 lessons and 20 phases, it covers the full spectrum of AI engineering, from math foundations to autonomous systems, in four programming languages: Python, TypeScript, Rust, and Julia.

Key features include a linear progression from basic math to advanced AI concepts, hands-on coding in each lesson, and a focus on building reusable artifacts such as prompts, skills, agents, and MCP servers. The curriculum is designed for self-paced learning, with flexible entry points and a find-your-level quiz to help students determine their starting point.

Technical highlights include a strong emphasis on understanding AI algorithms from scratch, with implementations in raw math before using frameworks like PyTorch. The curriculum also covers production-ready skills like agent engineering, infrastructure, and ethics.

The intended audience is anyone interested in building a strong foundation in AI engineering, from beginners to experienced professionals looking to fill gaps in their knowledge. With its comprehensive scope, hands-on approach, and focus on practical skills, the AI Engineering from Scratch curriculum is an invaluable resource for anyone seeking to master the art of AI engineering.

Build it from scratch, and you'll never forget it: that's the power of AI Engineering from Scratch.

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🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: anthropics/claude-plugins-official — let's break it down.

🔗 https://github.com/anthropics/claude-plugins-official
📝 Official, Anthropic-managed directory of high quality Claude Code Plugins.
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The anthropics/claude-plugins-official GitHub repository is a curated directory of high-quality plugins for Claude Code. It features a collection of internal and third-party plugins, which can be easily installed via Claude Code's plugin system using /plugin install {plugin-name}@claude-plugins-official. The repository is structured into plugins and external_plugins directories, with each plugin following a standard structure that includes a plugin.json file for metadata. To contribute, developers can submit their plugins for review, and must adhere to quality and security standards. For those looking to get started, the repository provides a reference implementation and documentation. Whether you're a developer or a user, this repository is the go-to destination for extending Claude Code's capabilities. You can supercharge Claude Code with these plugins - install and unleash their power.

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🧠 Channel: https://t.me/GithubRe

🎯 anthropics/knowledge-work-plugins landed on trending. Worth a proper look.

🔗 https://github.com/anthropics/knowledge-work-plugins
📝 Open source repository of plugins primarily intended for knowledge workers to use in Claude Cowork
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The anthropics/knowledge-work-plugins GitHub repository offers a collection of plugins designed to enhance the capabilities of Claude, a productivity tool. These plugins cater to various roles and industries, including sales, customer support, product management, and more.

Key features of these plugins include their ability to connect with external tools such as CRMs, project trackers, and data warehouses, and to provide domain-specific skills and workflows. The plugins are highly customizable, allowing users to tailor them to their company's specific needs and workflows.

To get started, users can install the plugins directly from Cowork or Claude Code using the following claude plugin install sales@knowledge-work-plugins command. Once installed, the plugins activate automatically, and users can invoke specific actions using slash commands.

The plugins follow a standardized structure, consisting of a manifest file, tool connections, slash commands, and skills. The skills component is particularly noteworthy, as it encodes domain expertise and best practices that Claude can draw upon automatically.

The repository is open-sourced, allowing users to contribute and customize the plugins to suit their needs. By doing so, users can create a tailored experience for their team, making Claude an even more effective tool for their workflow.

The punchy one-liner takeaway: Unlock Claude's full potential with customizable plugins that make it an expert in your company's unique workflows and tools.

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🧠 Channel: https://t.me/GithubRe

🌟 multica-ai/andrej-karpathy-skills caught my eye on GitHub Trending today.

🔗 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.
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The multica-ai/andrej-karpathy-skills GitHub repository provides a set of guidelines to improve the behavior of large language models (LLMs) like Claude Code when it comes to coding tasks. Inspired by Andrej Karpathy's observations on the pitfalls of LLMs, these guidelines aim to address 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 LLMs to state assumptions explicitly, prefer simplicity, make minimal changes, and define success criteria.

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 Cursor project rule for applying the guidelines in Cursor projects.

The target audience for these guidelines includes developers working with LLMs and those looking to improve the quality and reliability of their code. By following these principles, developers can reduce costly mistakes, improve code simplicity, and increase productivity.

In terms of technical highlights, the guidelines provide a CLAUDE.md file that directly addresses common issues with LLMs, and the Goal-Driven Execution principle allows LLMs to loop independently until verifiable success criteria are met.

One-liner takeaway: By applying the multica-ai/andrej-karpathy-skills guidelines, you can significantly improve the reliability and quality of your code generated by large language models.

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🧠 Channel: https://t.me/GithubRe

⚡ earendil-works/pi is making waves. Here's the full picture.

🔗 https://github.com/earendil-works/pi
📝 AI agent toolkit: coding agent CLI, unified LLM API, TUI & web UI libraries, Slack bot, vLLM pods
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The pi agent harness project is a self-extensible coding agent that combines a range of tools to enhance development workflows. At its core, the project includes three key packages: @earendil-works/pi-coding-agent for interactive coding, @earendil-works/pi-agent-core for agent runtime and state management, and @earendil-works/pi-ai for unified multi-provider large language model (LLM) APIs.

To get started, users can visit the project website for demos, read the documentation, or ask the agent to explain itself. The project encourages users to share their open-source coding agent sessions to improve the agents with real-world tasks and tool use.

From a technical perspective, the project is built using a range of technologies and includes features like differential rendering and a terminal UI library. The project also prioritizes security and supply-chain hardening through measures like pinning direct external dependencies and verifying pinned direct dependencies.

Audience: The project is geared towards developers and coding enthusiasts looking to enhance their workflows and explore the potential of self-extensible coding agents.

One-liner takeaway: Supercharge your coding workflow with the pi agent harness project, a cutting-edge self-extensible coding agent that's open-source and constantly evolving.

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🧠 Channel: https://t.me/GithubRe