This article is automatically generated by n8n & AIGC workflow, please be careful to identify

Daily GitHub Project Recommendation: A Glimpse into the AI Brain! System Prompts and Model Configurations of Top Tools

Have you ever wondered how leading AI tools like Devin, Cursor, or Replit Agent “think” and execute complex tasks? What exactly are the “secret weapons” hidden behind them? Today, we bring you an incredibly valuable GitHub treasure: x1xhlol/system-prompts-and-models-of-ai-tools, which will take you deep into the core logic of these AI giants.

This project is like an open AI ‘spellbook,’ collecting System Prompts and model configurations from numerous well-known AI tools, including v0, Cursor, Manus, Augment Code, and Devin. It’s not just a collection of texts, but a deep insight into the internal structure and functional operation of AI tools.

Project Highlights:

  • Unveiling AI’s Internal Mechanisms: This repository offers over 20,000 lines of code and configurations, giving you a peek into the “system manuals” of these complex AI tools. Whether you want to learn top-tier prompt engineering techniques or understand the decision-making logic of AI assistants, you’ll find your answers here.
  • Covers a Wide Range of AI Tools: From the emerging AI programming assistant Devin to the popular VSCode Copilot Agent, and tools like Replit and Cursor, it covers almost all the hottest and most powerful AI applications available today, providing you with a comprehensive learning and research platform.
  • Inspire Your AI Development: For AI developers and researchers, this is an invaluable resource. You can draw inspiration from it to optimize your AI model designs, prompting strategies, and even develop smarter, more efficient AI applications.
  • Community-First, Timely Updates: The project encourages accessing the latest system instructions early through its Discord community, ensuring you always have access to cutting-edge information.

Use Cases:

Whether you are an AI researcher, prompt engineer, AI product manager, or simply a developer curious about how AI works, this repository offers incredibly valuable insights. It can help you understand the behavior patterns of large language models, optimize your interaction with AI, and even provide strong guidance when building your own AI applications.

How to Get Started:

Want to dive in? Simply click the link below to access this insightful GitHub repository. You’ll find detailed system prompts and model information for various AI tools in different folders.

GitHub Repository Link: https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools

Call to Action:

If you’re curious about the internal workings of AI or looking for ways to enhance your AI application capabilities, this project is an absolute must-see! Head over to explore, give it a Star, and join the community discussion to uncover the infinite possibilities of AI together!

Daily GitHub Project Recommendation: Jaaz - Your Private AI Creative Canvas, Revolutionizing the Canva Experience!

Today, we’re bringing you an exciting GitHub project—Jaaz, hailed as the world’s first open-source multimodal creative assistant. If you’re looking for a powerful, privacy-focused, and locally runnable alternative to Canva or Manus, then Jaaz is definitely worth your attention! With 3514 stars and 312 forks, Jaaz’s popularity is evident.

Project Highlights: Ditch Cloud Constraints, Embrace Private Creative Freedom!

Jaaz’s core appeal lies in its combination of powerful AI creative tools with ultimate privacy protection and local deployment capabilities.

  • Privacy-First, Local Operation: This is Jaaz’s most prominent feature. It promises “local-first, data stays on your device, open-source with no tracking,” ensuring you don’t have to worry about data breaches or privacy violations during creation. For individuals and businesses with high data security requirements, this is undoubtedly a huge draw.
  • Multimodal Creative Magic: Jaaz is not just an image generator; it’s a comprehensive multimodal creative platform.
    • Magic Canvas: Imagine you can doodle and point on the canvas like building with LEGOs, and AI instantly understands your intent and generates content, eliminating the need for tedious prompt writing!
    • Magic Video: From generating viral short videos from a single sentence to having AI create complete video content by simply describing steps, Jaaz makes video creation easier than ever before.
  • Intelligent AI Agent System: You can insert objects, transform styles, control logic through dialogue, and even collaborate with local ComfyUI and cloud models to ensure consistency in multi-role creation.
  • Infinite Canvas & Visual Storyboard: Provides unlimited creative space, allowing you to visually plan scenes, link layouts, and manage media, even supporting real-time collaboration.
  • Flexible Deployment: Whether it’s a completely offline or hybrid (Ollama + API) setup, Jaaz can meet your needs and offers cross-platform (Windows & macOS) support.

Technical Details & Use Cases

Jaaz primarily uses TypeScript for its frontend and application, and Python to implement its powerful AI backend logic. It supports various cutting-edge AI models such as GPT-4o, Midjourney, VEO3, and Kling. This makes Jaaz not only a powerful tool for designers and content creators but also an ideal solution for businesses needing to build private AI creative workflows. From advertising design and social media content creation to short video script visualization, Jaaz can significantly boost efficiency while ensuring your data remains secure and controllable.

How to Get Started? Experience Creative Freedom Now!

Want to experience the creative revolution brought by Jaaz firsthand? You can directly visit Jaaz’s official website to download the latest version for Mac or Windows. Additionally, the project offers an “Enterprise Cloud Full Version,” supporting private deployment and commercial licensing, ideal for teams seeking customized solutions.

Call to Action

If you also crave greater freedom and privacy protection in your creative work, then Jaaz is absolutely worth your time to explore. Give this project a star ⭐, join the community discussion, or submit your first contribution, and together witness the growth of this privacy-first open-source AI creative assistant!

Daily GitHub Project Recommendation: XLeRobot - Build Your Exclusive Dual-Arm Smart Household Assistant for $660!

Fellow tech enthusiasts and robotics dreamers, today we bring you an exciting GitHub project—XLeRobot! It’s not just a codebase; it’s a design that will revolutionize your perception of home robots: a mobile household robot with dual-arm manipulation capabilities, costing less than an iPhone, and assemblable in under 4 hours!

Project Highlights

XLeRobot’s core philosophy is to make Embodied AI accessible. Technically, it uses Python as its primary development language and stands on the shoulders of giants, drawing experience from excellent projects like LeRobot and SO-100, aiming to provide a cost-effective and functional platform. The project not only provides a detailed Bill of Materials (BOM) but also includes 3D printing files, comprehensive assembly tutorials, and software configuration guides. It even supports real-time control via keyboard, Xbox controller, or Switch Joy-Con, allowing you to personally bring the robot to life!

From an application perspective, XLeRobot has limitless potential. You can use it to explore various home automation tasks, such as moving items or assisting with chores. For education and research, it provides a low-cost, easy-to-experiment platform, allowing students and researchers to easily develop and validate embodied AI, robot control, and human-robot interaction. Imagine, for a cost of $660, owning an intelligent companion that can interact with the physical world – this is undoubtedly a big step towards widespread robot adoption. The project has already accumulated over 2700 stars and 260 forks, demonstrating its popularity.

How to Get Started

Want to experience the charm of Embodied AI firsthand? XLeRobot provides a clear path to getting started:

  1. Prepare Parts: Purchase the necessary components according to the Bill of Materials provided by the project.
  2. 3D Print: Print the required parts for the robot’s structure.
  3. Assemble Manually: Follow the detailed assembly manual to build your robot step-by-step.
  4. Software Configuration: Deploy the Python code to bring your XLeRobot to life!

The project documentation is very comprehensive, allowing even beginners to get started quickly.

🚀 Explore Now: https://github.com/Vector-Wangel/XLeRobot

Call to Action

XLeRobot is not just an open-source project, but a community-driven initiative. If you’re passionate about embodied AI and robotics technology, consider giving it a Star, forking the project, joining the ranks of contributors, or simply sharing it with your friends. Together, let’s bring robots into every home!