🎯 lyogavin/airllm landed on trending. Worth a proper look.

🔗 https://github.com/lyogavin/airllm
📝 AirLLM 70B inference with single 4GB GPU
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The airllm repository on GitHub is a game-changer for large language models. Its primary purpose is to optimize inference memory usage, allowing massive models like 70B and 405B Llama3.1 to run on a single 4GB GPU without quantization, distillation, and pruning.

Key features include model compression for up to 3x inference speedup, support for various models like Llama2, ChatGLM, QWen, and more. The repository provides an easy-to-use interface, with a pip install airllm command to get started.

Technical highlights comprise block-wise quantization-based model compression, which reduces disk loading bottlenecks while maintaining accuracy. The AutoModel class automatically detects model types, eliminating the need to specify model classes.

The target audience includes data scientists, researchers, and developers working with large language models, particularly those looking to optimize model performance on limited hardware.

To get started, simply install the airllm package and initialize the model with the desired configuration. With airllm, you can run massive language models on modest hardware - a total paradigm shift in NLP: Run massive models, not massive GPUs.

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🔍 Deep-diving into mattpocock/skills — fresh off the trending list.

🔗 https://github.com/mattpocock/skills
📝 Skills for Real Engineers. Straight from my .claude directory.
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The mattpocock/skills GitHub repository contains a collection of skills designed to enhance the productivity and effectiveness of coding agents. These skills are the result of decades of engineering experience and are meant to be small, adaptable, and composable, working with any model. The skills are categorized into engineering, productivity, and misc groups, each containing user-invoked and model-invoked skills.

Key features of the repository include:
- grill-me and grill-with-docs skills for aligning with the agent and building a shared language
- tdd skill for test-driven development with a red-green-refactor loop
- diagnosing-bugs skill for disciplined diagnosis of hard bugs and performance regressions
- improve-codebase-architecture skill for rescuing a codebase that has become a ball of mud

These skills can be used by developers to improve their workflow, reduce misalignment with the agent, and produce better code. To get started, users can run the skills.sh installer and follow the quickstart guide. The repository is designed for real engineers, not just "vibe coding," and is meant to be used in conjunction with coding agents like Claude Code.

Overall, the mattpocock/skills repository offers a powerful set of tools for enhancing coding productivity and effectiveness. Take your coding to the next level with these skills - your agent will thank you!

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🌟 calesthio/OpenMontage caught my eye on GitHub Trending today.

🔗 https://github.com/calesthio/OpenMontage
📝 World's first open-source, agentic video production system. 12 pipelines, 52 tools, 500+ agent skills. Turn your AI coding assistant into a full video production studio.
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Introducing OpenMontage, the first open-source, agentic video production system. This innovative platform allows you to create stunning videos by simply describing what you want in plain language. Your agent will handle research, scripting, asset generation, editing, and final composition.

With OpenMontage, you can produce high-quality videos, including animated explainers, documentary montages, and even cinematic trailers. The system supports various tools and providers, such as Remotion, FFmpeg, and Pexels, to name a few.

To get started, simply git clone the repository, install the prerequisites, and run the setup script. Then, open the project in your AI coding assistant and describe your video idea. The agent will take care of the rest, from scriptwriting to rendering the final video.

Key features include:

* Support for various video styles and formats
* Automatic scriptwriting, narration, and subtitles
* Integration with multiple tools and providers
* Free and open-source, with optional paid API keys for additional features

The target audience for OpenMontage includes:

* Content creators looking for an efficient and cost-effective video production solution
* Developers interested in exploring the potential of agentic video production
* Anyone looking to create high-quality videos without extensive video production experience

In summary, OpenMontage is a game-changing video production platform that empowers you to create stunning videos with ease. With its innovative agentic approach, extensive feature set, and open-source nature, it's an exciting tool for anyone looking to push the boundaries of video creation. Unlock the full potential of video production with OpenMontage — and discover a whole new world of creative possibilities!

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💡 ZhuLinsen/daily_stock_analysis just hit the trending charts — here's why it matters.

🔗 https://github.com/ZhuLinsen/daily_stock_analysis
📝 LLM 驱动的多市场股票智能分析系统：多源行情、实时新闻、决策看板与自动推送，支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.
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Daily Stock Analysis is a stock intelligent analysis system that provides daily automatic analysis and pushes a "decision dashboard" to various platforms. The system uses AI models to analyze stocks and provides features such as multi-market data aggregation, web/desktop workspace, and agent strategy inquiry.

The system supports various AI models and data sources, including Anspire, AIHubMix, and SerpAPI. It also provides a web interface for configuration management, task monitoring, and manual analysis.

To use the system, you can fork the repository and configure the secrets, or use the client configuration tutorial for local deployment. The system also provides a docker deployment option.

Key features include:

* AI decision reports
* Multi-market data aggregation
* Web/desktop workspace
* Agent strategy inquiry
* Automatic push

Audience: This project is suitable for individual investors and financial professionals who want to use AI technology to analyze stocks.

Technical highlights:

* Python 3.10+
* GitHub Actions
* Docker

One-liner takeaway: Automate your stock analysis with Daily Stock Analysis, a powerful AI-driven system that provides daily insights and decision-making support.

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🧠 Channel: https://xn--r1a.website/GithubRe

🔍 Deep-diving into mukul975/Anthropic-Cybersecurity-Skills — fresh off the trending list.

🔗 https://github.com/mukul975/Anthropic-Cybersecurity-Skills
📝 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains · Apache 2.0
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The Anthropic Cybersecurity Skills GitHub repository offers a comprehensive library of 817 production-grade cybersecurity skills across 29 security domains. This library is designed to be used by AI agents, providing them with the security skills of a senior analyst. The skills are mapped to six industry frameworks, including MITRE ATT&CK, NIST CSF 2.0, and MITRE F3, making it a unified cross-framework coverage.

To get started, users can clone the repository or use npx skills add mukul975/Anthropic-Cybersecurity-Skills for immediate integration with compatible platforms like Claude Code, GitHub Copilot, and OpenAI Codex CLI.

This repository is ideal for security professionals, developers, and enterprise teams looking to enhance their AI agents' security capabilities. It's an AI-native knowledge base built from the ground up for the agentskills.io standard, providing structured decision-making workflows for senior analysts.

In a nutshell, Anthropic Cybersecurity Skills is the key to unlocking your AI agent's full security potential — giving it the skills to outsmart threats and outmaneuver attackers.

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🧠 Channel: https://xn--r1a.website/GithubRe

⚡ garrytan/gstack is making waves. Here's the full picture.

🔗 https://github.com/garrytan/gstack
📝 Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA
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The gstack GitHub repository is a game-changer for tech enthusiasts and professionals alike. Created by Garry Tan, President & CEO of Y Combinator, gstack is an open-source software factory that leverages AI to streamline the development process. This innovative tool transforms Claude Code into a virtual engineering team, comprising 23 specialists and 8 power tools, all accessible via slash commands.

gstack is designed for founders and CEOs, particularly those with technical backgrounds, as well as first-time Claude Code users and tech leads and staff engineers. The repository provides a quick start guide, allowing users to install and set up gstack in just 30 seconds. With gstack, users can plan, build, review, test, and ship their products efficiently, thanks to its integrated sprint process.

The gstack repository also includes support for OpenClaw and other AI agents, making it a versatile tool for various development environments. To get started, users can simply fork the repository, improve it, and make it their own.

In a nutshell, gstack is a revolutionary tool that empowers users to ship products faster and more efficiently, and its impact can be summed up in one punchy line: With gstack, one person can ship like a team of twenty!

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🧠 Channel: https://xn--r1a.website/GithubRe

🔍 Deep-diving into bytedance/deer-flow — fresh off the trending list.

🔗 https://github.com/bytedance/deer-flow
📝 An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
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DeerFlow is an open-source super agent harness that orchestrates sub-agents, memory, and sandboxes to perform various tasks — powered by extensible skills. It's a ground-up rewrite of the original Deep Research framework, with a focus on ease of use and customization.

Key features include skills & tools, sub-agents, sandbox & file system, context engineering, and long-term memory. To get started, you can use the one-line agent setup or follow the quick start guide, which includes configuration, running the application, and deployment sizing.

The project has a wide range of applications and is suitable for developers, researchers, and anyone interested in AI and machine learning. With its extensive documentation and active community, DeerFlow is an excellent choice for those looking to explore the possibilities of AI.

In short, DeerFlow is a powerful tool that can help you streamline your workflow and unlock new possibilities — so why not give it a try and see what you can achieve with this cutting-edge technology? DeerFlow: where AI meets limitless potential.

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🧠 Channel: https://xn--r1a.website/GithubRe

⚡ koala73/worldmonitor is making waves. Here's the full picture.

🔗 https://github.com/koala73/worldmonitor
📝 Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
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The World Monitor is a real-time global intelligence dashboard that provides AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking. It features a dual map engine with 56 map layer types, cross-stream correlation for signal convergence, and a Country Instability Index (CII) for stress scoring. The platform has 6 site variants and supports 24 languages with native-language feeds and RTL support.

To get started, you can git clone the repository, npm install, and npm run dev to run the app locally. The tech stack includes Vanilla TypeScript, Vite, globe.gl, and deck.gl for the frontend, and Tauri 2 with Node.js for the desktop app.

The World Monitor is suitable for researchers, analysts, and decision-makers who need to stay informed about global events and trends. With its real-time updates and comprehensive coverage, the World Monitor is an essential tool for anyone looking to stay ahead of the curve.

One-liner takeaway: The World Monitor is a powerful tool that helps you stay informed and make informed decisions in a rapidly changing world.

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🚀 Meet palmier-io/palmier-pro: a gem from today's GitHub trending list.

🔗 https://github.com/palmier-io/palmier-pro
📝 macOS video editor built for AI
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Palmier Pro is an open-source video editor built for AI, available for macOS 26 (Tahoe) on Apple Silicon. It's designed to integrate AI into the video editing workflow, allowing users to generate and edit videos together inside the timeline.

Key features include a Swift-native video editor, built-in generative AI with models like Seedance and Kling, and integration with agents like Claude, Codex, and Cursor via MCP.

To get started, users can download Palmier Pro for free and use it as a video editor. The MCP server and agent chat are also open-source, and the generative AI features require a login and subscription.

The target audience includes video editors, creators, and developers interested in AI-powered video editing.

Technical highlights include the use of Swift, integration with MCP, and support for various AI models.

To connect with the community, users can join the Discord server, follow Palmier_io on X, or create a Github Issue for feedback and support.

In short, Palmier Pro is a game-changer for video editors - it's like having a co-creator built into your timeline.

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🧠 Channel: https://xn--r1a.website/GithubRe

🌟 anthropics/claude-plugins-official caught my eye on GitHub Trending today.

🔗 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's divided into internal plugins developed by Anthropic and third-party plugins from partners and the community.

To install a plugin, run /plugin install {plugin-name}@claude-plugins-official or browse for it in /plugin > Discover. Each plugin follows a standard structure, including a plugin.json file with metadata.

The repository also supports skill-bundle plugins, which can declare skills directly using a skills array in the plugin.json file.

If you're interested in developing your own plugins, check out the official documentation.

One key thing to remember: always verify the trustworthiness of a plugin before installing.
The takeaway: explore the Claude Code plugin ecosystem, but always prioritize plugin security and trust.

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🧠 Channel: https://xn--r1a.website/GithubRe