Github Top Repositories
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Github Top Repositories
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๐ŸŒŸ hugohe3/ppt-master caught my eye on GitHub Trending today.

๐Ÿ”— https://github.com/hugohe3/ppt-master
๐Ÿ“ AI generates a real, editable PowerPoint from any document โ€” native shapes & animations, speaker notes voiced as audio narration, and the option to follow your own .pptx template, not slide images ยท by Hugo He
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PPT Master is an innovative tool that harnesses the power of AI to generate natively editable PPTX files from any document. With key features like direct editing, native slide transitions, and entrance animations, this tool is a game-changer for presentations. To get started, simply drop in your source material, and the AI will do the rest. The tool supports various AI models, but for optimal results, it's recommended to use Claude with a large context window (~1M tokens) + AI image generation (gpt-image-2).

Technical highlights include its ability to work inside AI IDEs like Claude Code, Cursor, VS Code + Copilot, or Codebuddy, making it a versatile tool for users. The target audience includes anyone looking to streamline their presentation creation process, from students to professionals.

The tool is shaped this way to demonstrate the potential of Python and AI agents, and to help users climb the learning curve of these valuable skills. In short, PPT Master is not just a presentation tool, but a gateway to a new world of creative possibilities.
Take your presentations to the next level with PPT Master: where AI meets creativity, and the possibilities are endless.

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๐Ÿง  Channel: https://t.iss.one/GithubRe
Github Top Repositories
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๐ŸŽฏ JCodesMore/ai-website-cloner-template landed on trending. Worth a proper look.

๐Ÿ”— https://github.com/JCodesMore/ai-website-cloner-template
๐Ÿ“ Clone any website with one command using AI coding agents
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Ai Website Cloner Template is a reusable template for reverse-engineering any website into a clean, modern Next.js codebase using AI coding agents. The template uses AI coding agents to inspect the site, extract design tokens and assets, write component specs, and dispatch parallel builders to reconstruct every section.

To get started, create your own repository from the template, install dependencies with npm install, start your AI agent, and run the /clone-website skill with your target URL. The template supports various AI coding agents, including Claude Code, Codex CLI, and GitHub Copilot.

The template features a multi-phase pipeline for cloning websites, including reconnaissance, foundation, component specs, parallel build, and assembly & QA. It's perfect for platform migration, lost source code, and learning.

One-liner takeaway: With Ai Website Cloner Template, you can clone any website into a modern Next.js codebase in minutes, using the power of AI coding agents.

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Github Top Repositories
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๐Ÿ’ก garrytan/gstack just hit the trending charts โ€” here's why it matters.

๐Ÿ”— https://github.com/garrytan/gstack
๐Ÿ“ 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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Introducing gstack, an open-source software factory that leverages AI to transform the way you build products. Created by Garry Tan, President & CEO of Y Combinator, gstack is designed to help founders, CEOs, and technical leads ship products faster and more efficiently.

The tool is built around a virtual engineering team concept, where 23 specialists and 8 power tools work together to streamline the development process. With gstack, you can plan, build, review, test, and ship products using simple slash commands.

Key features include:

* Office hours: reframes your product idea with six forcing questions
* CEO review: rethinks the problem and finds the 10-star product
* Engineering review: locks in architecture and data flow
* Design review: rates design dimensions and edits the plan
* QA: tests and verifies the product

To get started, simply clone the repository, run the setup script, and start using the skills. gstack is compatible with multiple AI coding agents, including Claude Code, OpenAI Codex, and more.

The target audience includes:

* Founders and CEOs who want to ship products quickly
* First-time Claude Code users who need structured roles
* Tech leads and staff engineers who want rigorous review and QA automation

In summary, gstack is a game-changer for anyone looking to build products faster and more efficiently. With its virtual engineering team and streamlined development process, you can ship more products in less time. Try gstack today and experience the power of AI-driven development! Ship like a team of twenty, solo.

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๐Ÿš€ Meet NanmiCoder/MediaCrawler: a gem from today's GitHub trending list.

๐Ÿ”— https://github.com/NanmiCoder/MediaCrawler
๐Ÿ“ ๅฐ็บขไนฆ็ฌ”่ฎฐ | ่ฏ„่ฎบ็ˆฌ่™ซใ€ๆŠ–้Ÿณ่ง†้ข‘ | ่ฏ„่ฎบ็ˆฌ่™ซใ€ๅฟซๆ‰‹่ง†้ข‘ | ่ฏ„่ฎบ็ˆฌ่™ซใ€B ็ซ™่ง†้ข‘ ๏ฝœ ่ฏ„่ฎบ็ˆฌ่™ซใ€ๅพฎๅšๅธ–ๅญ ๏ฝœ ่ฏ„่ฎบ็ˆฌ่™ซใ€็™พๅบฆ่ดดๅงๅธ–ๅญ ๏ฝœ ็™พๅบฆ่ดดๅง่ฏ„่ฎบๅ›žๅค็ˆฌ่™ซ | ็ŸฅไนŽ้—ฎ็ญ”ๆ–‡็ซ ๏ฝœ่ฏ„่ฎบ็ˆฌ่™ซ
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MediaCrawler is a powerful open-source multi-platform media data collection tool that supports data crawling from popular platforms like Xiaohongshu, Douyin, Kuaishou, Bilibili, Weibo, Tieba, and Zhihu.

The project's key features include keyword search, specified post ID crawling, secondary comment crawling, and more. It utilizes Playwright for browser automation and offers an advantage of no JS reverse engineering required.

To use MediaCrawler, you need to install dependencies using uv or pip, and then run the crawler program using uv run main.py or python main.py.

The project is designed for researchers, developers, and enthusiasts who want to explore and learn about web data collection technology.

MediaCrawlerPro is also available, offering more features and better architecture design.

In short, unlock the power of media data collection with MediaCrawler!

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๐Ÿง  Channel: https://t.iss.one/GithubRe
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โšก Anil-matcha/Open-Generative-AI is making waves. Here's the full picture.

๐Ÿ”— https://github.com/Anil-matcha/Open-Generative-AI
๐Ÿ“ Unrestricted Open-source alternative to AI video platforms โ€” Free AI image & video generation studio with 200+ models (Flux, Midjourney, Kling, Sora, Veo). No content filters. Self-hosted, MIT licensed.
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Open Generative AI is a free, open-source AI studio that offers a range of creative tools for generating images, videos, and more. With no content filters and no subscription fees, users have full creative freedom to explore over 200 state-of-the-art models. The platform supports various input types, including text-to-image, image-to-image, text-to-video, and image-to-video, making it a versatile tool for artists, designers, and content creators.

Key Features:
- 200+ models for different tasks and styles
- Multi-image input for compatible models
- Lip Sync Studio for animating portraits or syncing lips to audio
- Extensible architecture for adding custom models or modifying the UI

Technical Highlights:
The platform utilizes sd.cpp and Wan2GP engines for local model inference, allowing users to run models on their own machines. The sd.cpp engine is bundled with the desktop app and supports image-only models, while the Wan2GP engine requires a separate server setup for video models and large image models.

Audience:
Open Generative AI is suitable for artists, designers, content creators, and developers looking for a free and open-source alternative to commercial AI video platforms. The platform's flexibility and customizability make it an attractive option for those seeking full creative control over their work.

Get Started:
Try Open Generative AI online or download the desktop app for local model inference. With its comprehensive guide and roadmap, users can dive deeper into the technical architecture and philosophy behind the platform.

Takeaway: Open Generative AI empowers creators with unlimited possibilities, no strings attached.

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๐Ÿง  Channel: https://t.iss.one/GithubRe
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Github Top Repositories
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๐ŸŽฏ topoteretes/cognee landed on trending. Worth a proper look.

๐Ÿ”— https://github.com/topoteretes/cognee
๐Ÿ“ Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.
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Cognee is an open-source AI memory platform that enables persistent long-term memory for AI agents across sessions. It ingests data in any format, builds a self-hosted knowledge graph, and allows agents to recall, connect, and act with full context. The platform combines vector embeddings, graph reasoning, and cognitive-science-grounded ontology generation.

Key features include easy building of a company brain, knowledge infrastructure, persistent and learning agents, and reliable and trustworthy agents. cognee provides a range of tools and libraries, including a Python client, a Rust client, and a TypeScript client.

To get started, users can install cognee using pip or poetry, then configure the LLM API key. The platform provides a range of APIs, including remember, recall, forget, and improve.

Cognee is designed for developers and businesses looking to build AI-powered applications with persistent memory. The platform is highly customizable, with support for multiple LLM providers and a range of configuration options.

Technical highlights include the use of vector embeddings, graph reasoning, and cognitive-science-grounded ontology generation. The platform is highly scalable, with support for large knowledge graphs and high-performance querying.

In summary, Cognee is a powerful AI memory platform that enables developers to build AI-powered applications with persistent long-term memory. With its range of tools and libraries, customizable configuration options, and highly scalable architecture, Cognee is an ideal choice for businesses and developers looking to build next-generation AI applications. Get started with Cognee today and discover the power of persistent AI memory!

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๐Ÿง  Channel: https://t.iss.one/GithubRe
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Github Top Repositories
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๐Ÿ’ก dbt-labs/dbt-core just hit the trending charts โ€” here's why it matters.

๐Ÿ”— https://github.com/dbt-labs/dbt-core
๐Ÿ“ dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
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dbt Core v2.0 is a groundbreaking, open-source tool that revolutionizes data transformation by allowing analysts and engineers to apply software engineering principles to their data workflows. At its core, dbt Core is designed for performance at scale, boasting dramatically improved parse and compile times, a stricter language specification, and more scalable artifacts.

Key features of dbt Core v2.0 include:
- Faster parse and compile times
- Stricter language specification for correctness
- More scalable artifacts in Parquet format
- Easier installation as a self-contained binary
- Improved local documentation experience

dbt Core v2.0 supports various operating systems, including macOS, Linux, and Windows, on both x86-64 and ARM architectures.

To get started with dbt Core, simply choose a distribution - either dbt Core or Fusion - and install it locally.

The dbt community is active and welcoming, with a Slack channel and Discourse forum for discussion, as well as a Contributing Guide for those who want to contribute to the project.

One-liner takeaway: Transform your data with dbt Core v2.0, the fastest and most scalable version yet, and unlock a world of data-driven insights!

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๐Ÿง  Channel: https://t.iss.one/GithubRe
โšก luongnv89/claude-howto is making waves. Here's the full picture.

๐Ÿ”— https://github.com/luongnv89/claude-howto
๐Ÿ“ A visual, example-driven guide to Claude Code โ€” from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
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The luongnv89/claude-howto GitHub repository is a comprehensive guide to mastering Claude Code, a powerful tool for automating workflows and tasks. The repository provides a structured learning path with 10 tutorial modules, covering every Claude Code feature from slash commands to custom agent teams. With copy-paste templates and Mermaid diagrams, users can quickly learn how to combine features into workflows that save hours of time. The guide is actively maintained and synced with every Claude Code release, ensuring users have the latest information and templates. Whether you're a beginner or an advanced user, this guide has something for everyone, with a progressive learning path that takes you from basic to advanced topics. The repository is MIT licensed and free forever, making it an excellent resource for anyone looking to get the most out of Claude Code. In short, master Claude Code in a weekend with this comprehensive guide and take your productivity to the next level!

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Github Top Repositories
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๐Ÿ”ฅ anomalyco/opencode is trending โ€” and it deserves your attention.

๐Ÿ”— https://github.com/anomalyco/opencode
๐Ÿ“ The open source coding agent.
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The OpenCode project is an open source AI coding agent that aims to assist developers with their coding tasks. Its key features include a build agent for development work and a plan agent for analysis and code exploration. The project is available for installation via various package managers, including npm, brew, and scoop. A desktop application is also available for download.

To get started, users can install OpenCode using a simple
curl -fsSL https://opencode.ai/install | bash
command. The installation directory can be customized using environment variables.

The project is well-documented, with a comprehensive docs section that covers configuration, contributing, and more. OpenCode has a large community, with support for multiple languages and a Discord channel for discussion.

The project is perfect for developers looking to streamline their workflow with AI assistance. Overall, OpenCode is a powerful tool that can greatly improve coding efficiency - supercharge your coding with OpenCode today.

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๐Ÿง  Channel: https://t.iss.one/GithubRe