⚡ stablyai/orca is making waves. Here's the full picture.

🔗 https://github.com/stablyai/orca
📝 Orca is the ADE for working with a fleet of parallel agents. Run any coding agent with your own subscription. Available on desktop, mobile and VPS.
──────────────────────────────

Orca is the AI orchestrator for 100x builders, allowing you to run multiple agents like Codex, ClaudeCode, and Pi in parallel worktrees, tracked in one place. Key features include a mobile companion app, parallel worktrees, terminal splits, design mode, and native GitHub and Linear integration. orca also offers a CLI for scripting workflows and supports various agents. Usage is straightforward, with a user-friendly interface and extensive documentation. Technical highlights include WebGL rendering, infinite terminal splits, and auto-reconnect for remote worktrees. Orca is suitable for developers and power users looking to streamline their workflow. With Orca, you can script every workflow and stay productive on-the-go. Orca is the ultimate tool for AI-driven development - build faster, build smarter.

──────────────────────────────
🧠 Channel: https://t.me/GithubRe

🌟 msitarzewski/agency-agents caught my eye on GitHub Trending today.

🔗 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.
──────────────────────────────

The Agency is a collection of specialized AI agents with unique personalities, each designed to excel in a specific domain. The roster includes agents like Frontend Developer, Backend Architect, and AI Engineer, among others. These agents can be used with various tools like Claude Code, Cursor, and Codex, and can be installed via a native app or command-line scripts. The agents are production-ready, with a focus on deliverable-focused and measurable outcomes. Whether you're a developer, engineer, or AI enthusiast, The Agency provides a dream team of AI specialists at your fingertips. The takeaway: Assemble your dream team of AI specialists and transform your workflow!

──────────────────────────────
🧠 Channel: https://t.me/GithubRe

💡 shiyu-coder/Kronos just hit the trending charts — here's why it matters.

🔗 https://github.com/shiyu-coder/Kronos
📝 Kronos: A Foundation Model for the Language of Financial Markets
──────────────────────────────

Kronos is the first open-source foundation model specifically designed for the "language" of financial markets, trained on data from over 45 global exchanges. This decoder-only model is pre-trained to handle the unique, high-noise characteristics of financial data, leveraging a novel two-stage framework. It first quantizes continuous, multi-dimensional K-line data into hierarchical discrete tokens using a specialized tokenizer, and then pre-trains a large, autoregressive Transformer on these tokens.

The model is pre-trained and fine-tuned for diverse quantitative tasks, including forecasting. Kronos provides a range of pre-trained models with varying capacities, from Kronos-mini to Kronos-large, to suit different computational and application needs. A live demo is available to visualize Kronos's forecasting results.

To get started with Kronos, users can install the required dependencies and load a pre-trained model and its corresponding tokenizer from the Hugging Face Hub. The KronosPredictor class simplifies the forecasting process, handling data preprocessing, normalization, prediction, and inverse normalization.

Here is an example of how to use the KronosPredictor:

predictor = KronosPredictor(model, tokenizer, max_context=512)
pred_df = predictor.predict(
    df=x_df,
    x_timestamp=x_timestamp,
    y_timestamp=y_timestamp,
    pred_len=pred_len,
    T=1.0,          
    top_p=0.9,      
    sample_count=1  
)

Kronos is designed for quantitative researchers and practitioners who want to leverage the power of foundation models for financial market analysis and forecasting. With its unique architecture and pre-training on a large dataset, Kronos has the potential to become a game-changer in the field of quantitative finance.
Kronos: forecasting the future of finance, one candlestick at a time.

──────────────────────────────
🧠 Channel: https://t.me/GithubRe

🚀 Meet NanmiCoder/MediaCrawler: a gem from today's GitHub trending list.

🔗 https://github.com/NanmiCoder/MediaCrawler
📝 小红书笔记 | 评论爬虫、抖音视频 | 评论爬虫、快手视频 | 评论爬虫、B 站视频 ｜ 评论爬虫、微博帖子 ｜ 评论爬虫、百度贴吧帖子 ｜ 百度贴吧评论回复爬虫 | 知乎问答文章｜评论爬虫
──────────────────────────────

MediaCrawler is a powerful multi-platform social media data collection tool that supports data crawling from popular platforms like Xiaohongshu, Douyin, Kuaishou, Bilibili, Weibo, Tieba, and Zhihu.

The README provides a detailed introduction to the project, including its technical principles, key features, and usage guidelines. It also covers technical highlights such as the use of Playwright for browser automation and the advantages of using this framework.

To get started with MediaCrawler, users need to install dependencies using uv or Python's native venv environment, and then run the crawler program using the provided commands.

The project also offers a web-based visual interface for easier operation and supports various data storage formats, including CSV, JSON, and SQLite.

MediaCrawlerPro, a more advanced version of the project, is also available, offering additional features like self-media content disassembly and breakpoint resume functionality.

Takeaway: MediaCrawler is an excellent tool for social media data collection and analysis, with its ease of use, flexibility, and powerful features making it an ideal choice for researchers and developers alike.

──────────────────────────────
🧠 Channel: https://t.me/GithubRe

🔥 hugohe3/ppt-master is trending — and it deserves your attention.

🔗 https://github.com/hugohe3/ppt-master
📝 AI turns documents or topics into real, native PowerPoint decks—with native shapes, transitions and animations, data-backed charts and tables on demand, audio narration from speaker notes, and support for your own .pptx templates. · by Hugo He
──────────────────────────────

The ppt-master GitHub repository is an AI-powered tool that generates native PowerPoint presentations from any document. Its key features include the ability to create natively editable PPTX files with real PowerPoint behavior, such as native slide transitions, speaker notes, and data-backed charts and tables. The tool is designed to work with various AI models, including Kimi K3, and can be used with different templates and styles.

To use ppt-master, simply drop in your source material, and the tool will generate a complete deck with real PowerPoint behavior. The repository includes several example presentations that demonstrate the tool's capabilities, including editorial magazine, data journalism, and Swiss grid styles.

The technical highlights of ppt-master include its ability to reason the argument into shape before designing the presentation, and its use of native PowerPoint objects such as charts and tables. The tool is also designed to work with various AI models and can be used with different templates and styles.

ppt-master is ideal for anyone looking to generate high-quality PowerPoint presentations quickly and easily, including business professionals, educators, and designers. With its ability to create natively editable PPTX files, ppt-master is a game-changer for anyone who needs to create presentations on a regular basis.

In summary, ppt-master is a powerful AI-powered tool that generates native PowerPoint presentations from any document, with real PowerPoint behavior and natively editable PPTX files - and that's just the beginning, as PPT Master converges with PowerPoint itself.

──────────────────────────────
🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into infiniflow/ragflow — fresh off the trending list.

🔗 https://github.com/infiniflow/ragflow
📝 RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
──────────────────────────────

RAGFlow is an open-source Retrieval-Augmented Generation (RAG) engine that combines RAG with agent capabilities for a superior context layer in Large Language Models (LLMs). It offers a streamlined RAG workflow for enterprises of any scale. Key features include deep document understanding, template-based chunking, grounded citations, and compatibility with various data sources.

To get started, try the cloud service or self-host by cloning the repository and starting the server using pre-built Docker images. The system architecture is designed for flexibility and scalability.

Technical highlights include automated RAG workflows, configurable LLMs, and embedded models. Audience includes developers and businesses looking to transform complex data into production-ready AI systems.

In short, RAGFlow is a powerful tool for building efficient and accurate AI systems - automate your workflow and unlock the full potential of your data with RAGFlow.

──────────────────────────────
🧠 Channel: https://t.me/GithubRe

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

🔗 https://github.com/paperclipai/paperclip
📝 The open-source app everyone uses to manage agents at work
──────────────────────────────

Paperclip is an open-source platform designed to manage AI agents for work, allowing users to bring their own agents, assign goals, and track work and costs from one dashboard. It's built around four pillars: tasks, org charts, agent training, and infrastructure. Key features include goal alignment, heartbeats, cost control, and governance. Usage is straightforward, with a task manager-like interface for managing business goals. Technical highlights include atomic execution, persistent agent state, and runtime skill injection. This platform is ideal for those looking to build autonomous AI companies, coordinate multiple agents, and manage costs. With Paperclip, you can manage business goals, not pull requests - it's the ultimate tool for streamlining your AI workflow!

──────────────────────────────
🧠 Channel: https://t.me/GithubRe