💡 manaflow-ai/cmux just hit the trending charts — here's why it matters.

🔗 https://github.com/manaflow-ai/cmux
📝 Ghostty-based macOS terminal with vertical tabs and notifications for AI coding agents
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cmux is a macOS terminal designed for AI coding agents, built on top of Ghostty and offering features like vertical tabs, notifications, and an in-app browser.

Key features include:
- Notification rings and a notification panel for managing agent notifications
- An with a scriptable API
- Vertical and horizontal tabs for organizing workspaces
- SSH support for remote machine workspaces
- Claude Code Teams integration
- Custom commands and scriptable functionality via the CLI and socket API

To get started, you can download the DMG or install via Homebrew.

Audience: Developers working with AI coding agents, particularly those using Claude Code and other similar tools.

Technical highlights: Native macOS app built with Swift and AppKit, GPU-accelerated using libghostty.

Give a million developers composable primitives like cmux and they'll build the most efficient workflows - faster than any product team.

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🧠 Channel: https://t.me/GithubRe

🔥 multica-ai/andrej-karpathy-skills is trending — and it deserves your attention.

🔗 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 Andrej Karpathy Skills GitHub repository provides guidelines for improving Claude Code behavior, inspired by Andrej Karpathy's observations on LLM coding pitfalls. The project addresses issues like wrong assumptions, overcomplication, and lack of clarity in code.

Key features include four principles:
1. Think Before Coding - explicit reasoning and questioning assumptions,
2. Simplicity First - minimal code and no overengineering,
3. Surgical Changes - touching only necessary code,
4. Goal-Driven Execution - defining success criteria and looping until verified.

These principles are designed to be used by developers working with LLMs, particularly those using Claude Code. The guidelines can be installed as a plugin or added to a project's CLAUDE.md file.

Technical highlights include the use of success criteria to transform imperative tasks into verifiable goals and the emphasis on simplicity and caution over speed.

To get started, users can install the guidelines as a Claude Code plugin or add them to their project's CLAUDE.md file.

The target audience is developers and teams working with LLMs and Claude Code, looking to improve their coding workflow and reduce mistakes.

In summary: Follow these guidelines to make your LLMs loop until they get it right - success criteria and verification are key to efficient coding with LLMs.

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🧠 Channel: https://t.me/GithubRe

⚡ Fincept-Corporation/FinceptTerminal is making waves. Here's the full picture.

🔗 https://github.com/Fincept-Corporation/FinceptTerminal
📝 FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.
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Fincept Terminal is a state-of-the-art financial intelligence platform that offers institutional-grade financial analytics, AI automation, and unlimited data connectivity. Its key features include multi-asset analytics, AI agents, real-time trading, and global intelligence. The platform is built using C++20 and Qt6 for UI and rendering, with embedded Python for analytics.

To use Fincept Terminal, you can download the installer for your platform or build it from source using CMake and Ninja. The platform is suitable for financial professionals, quantitative analysts, and developers who need advanced financial analytics and automation capabilities.

With its extensive feature set and high-performance capabilities, Fincept Terminal is an ideal choice for those who want to take their financial analysis to the next level.
The Fincept Terminal is the ultimate tool for financial Insights.

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🧠 Channel: https://t.me/GithubRe

🚀 Meet paperless-ngx/paperless-ngx: a gem from today's GitHub trending list.

🔗 https://github.com/paperless-ngx/paperless-ngx
📝 A community-supported supercharged document management system: scan, index and archive all your documents
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Paperless-ngx is a document management system that helps you digitize your physical documents, making them searchable and easily accessible online. The system is the official successor to the original Paperless and Paperless-ng projects, designed to be community-driven and supported by a team of people.

Key features of Paperless-ngx include a user-friendly interface, document scanning and uploading, tagging and categorization, and search functionality. The system is highly customizable, with a docker compose installation option for easy deployment.

To get started with Paperless-ngx, you can use the docker compose installation method or follow the step-by-step guides in the documentation. The system is also available for migration from Paperless-ng, with a simple drop-in replacement process.

From a technical standpoint, Paperless-ngx is built using a range of technologies, including Python and JavaScript. The system is designed to be scalable and secure, with a focus on community involvement and contribution.

The target audience for Paperless-ngx includes individuals and organizations looking to digitize their documents and streamline their workflow. The system is particularly useful for those who need to manage large volumes of documents, such as businesses, law firms, and government agencies.

Overall, Paperless-ngx is a powerful and flexible document management system that can help you transform your physical documents into a searchable online archive.
With its user-friendly interface and customizable features, Paperless-ngx is an ideal solution for anyone looking to go paperless - Ditch the paper, not the memories!

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🧠 Channel: https://t.me/GithubRe

🔥 anthropics/claude-cookbooks is trending — and it deserves your attention.

🔗 https://github.com/anthropics/claude-cookbooks
📝 A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
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The Claude Cookbooks GitHub repository provides a collection of code snippets, guides, and examples to help developers build with Claude, a powerful AI assistant. The repository offers a wide range of recipes for various capabilities, including classification, retrieval augmented generation, and summarization. It also covers tool use and integration, third-party integrations, multimodal capabilities, and advanced techniques.

To get started, you'll need a Claude API key, which can be obtained for free. The code examples are primarily written in Python, but the concepts can be adapted to other programming languages.

The repository is organized into sections, including:
- Capabilities: Explore techniques for text and data classification, retrieval augmented generation, and summarization.
- Tool Use and Integration: Learn how to integrate Claude with external tools and functions.
- Third-Party Integrations: Supplement Claude's knowledge with external data sources.
- Multimodal Capabilities: Discover how to use Claude with vision and generate images.
- Advanced Techniques: Learn about sub-agents, uploading PDFs, automated evaluations, and more.

The Claude Cookbooks are designed for developers who want to build with Claude and create innovative AI-powered applications. Whether you're a seasoned developer or just starting out, this repository provides a valuable resource for exploring the capabilities of Claude.

One-liner takeaway: Unlock the full potential of Claude with the Claude Cookbooks, your go-to resource for building innovative AI-powered applications.

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🧠 Channel: https://t.me/GithubRe

🔥 Leonxlnx/taste-skill is trending — and it deserves your attention.

🔗 https://github.com/Leonxlnx/taste-skill
📝 Taste-Skill - gives your AI good taste. stops the AI from generating boring, generic slop
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The Taste Skill repository on GitHub offers a unique set of tools for developers looking to enhance their frontend designs with the help of AI agents. At its core, Taste Skill is designed to provide agent skills that improve layout, typography, motion, and spacing in AI-built interfaces, moving away from boilerplate-looking UIs. The repository includes both implementation skills that output code and image-generation skills for creating reference images. These skills can be easily installed using the npx skills add command, allowing developers to integrate them into their projects seamlessly.

One of the key features of Taste Skill is its flexibility and customization options. Developers can choose from a variety of skills, each with its own specific focus, such as design-taste-frontend for a general, all-around frontend design or gpt-taste for stricter, GPT/Codex-oriented design rules. Additionally, skills like image-to-code-skill enable an image-first workflow where images are generated, analyzed, and then implemented in code.

The technical highlights of Taste Skill include its framework-agnostic approach, making it compatible with major coding frameworks like React, Vue, and Svelte. The skills are also designed to be portable, using SKILL.md files that can be easily loaded by agents or copied into projects and conversations. For those interested in image generation, skills like imagegen-frontend-web and imagegen-frontend-mobile produce design images that can be used with ChatGPT Images, Codex, or other agents that generate images.

Taste Skill is aimed at developers and designers looking to elevate their frontend designs with the assistance of AI. It's particularly useful for those working on premium frontend projects where layout, typography, and motion are crucial. By providing a set of specialized and adjustable skills, Taste Skill helps in creating unique, high-quality designs that stand out from the typical AI-generated UIs.

To get started, developers can install the skills using npx skills add https://github.com/Leonxlnx/taste-skill, and then explore the various skills and their applications. For feedback and contributions, the community is invited to open issues or pull requests on GitHub or reach out directly to the maintainers.

In summary, Taste Skill is a powerful tool for anyone looking to enhance their frontend design capabilities with AI, offering a range of skills and customization options to fit different project needs. With its ease of use, flexibility, and focus on high-quality design, Taste Skill is set to make a significant impact in the world of frontend development. So, take your designs to the next level with Taste Skill - where AI meets design excellence.

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🧠 Channel: https://t.me/GithubRe

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

🔗 https://github.com/moeru-ai/airi
📝 💖🧸 Self hosted, you-owned Grok Companion, a container of souls of waifu, cyber livings to bring them into our worlds, wishing to achieve Neuro-sama's altitude. Capable of realtime voice chat, Minecraft, Factorio playing. Web / macOS / Windows supported.
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Project AIRI is an open-source project that aims to re-create Neuro-sama, a virtual character that can interact with users in a more human-like way. The project's goal is to provide a digital companion that can play games, chat, and perform various tasks, making it a unique and engaging experience.

Key features of Project AIRI include its use of modern web technologies such as WebGPU, WebAudio, and WebAssembly, allowing for a more immersive and interactive experience. The project also has a strong focus on community involvement, with a dedicated Discord server and a translation project on Crowdin.

To get started with Project AIRI, users can download the latest release for their operating system or try it out in their web browser. The project also provides a list of devlogs that detail the latest updates and changes.

From a technical standpoint, Project AIRI is built using a range of technologies, including Web Workers, WebSocket, and NVIDIA CUDA. The project's use of these technologies allows for a high level of performance and customization.

The project is suitable for a wide range of users, including developers, gamers, and anyone interested in AI and virtual companions.

Takeaway: With Project AIRI, you can have your own digital companion that can play games, chat, and interact with you in a more human-like way, anywhere and anytime.

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🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: shiyu-coder/Kronos — let's break it down.

🔗 https://github.com/shiyu-coder/Kronos
📝 Kronos: A Foundation Model for the Language of Financial Markets
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Kronos is the first open-source foundation model for financial candlesticks (K-lines), trained on data from over 45 global exchanges. It's a decoder-only model, pre-trained specifically for the "language" of financial markets, designed to handle the unique, high-noise characteristics of financial data. Key features include a novel two-stage framework, with a specialized tokenizer that quantizes continuous, multi-dimensional K-line data into hierarchical discrete tokens, and a large, autoregressive Transformer that serves as a unified model for diverse quantitative tasks.

Usage is straightforward, with a KronosPredictor class that handles data preprocessing, normalization, prediction, and inverse normalization. The model can be fine-tuned on your own data, and there's a live demo available to visualize forecasting results. Technical highlights include a family of pre-trained models with varying capacities, and a predict_batch method that enables parallel prediction on multiple datasets simultaneously.

The model is suitable for quantitative analysts, traders, and researchers who need to analyze and forecast financial markets. With Kronos, you can easily integrate financial forecasting into your workflow, and take advantage of its cutting-edge technology to make more informed investment decisions.
Get ready to forecast with Kronos - the future of financial market analysis is here!

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🧠 Channel: https://t.me/GithubRe