MGX (Now Atoms)
The World's First AI Dev Team
4.4•24 reviews•3.2K followers
The World's First AI Dev Team
4.4•24 reviews•3.2K followers
MGX (Now Atoms) is a multi-agent AI platform based on real software SOPs. Chat with the AI team leader, product manager, architect, engineer, and data analyst 24/7 to create websites, blogs, shops, analytics, games, or anything else you can imagine.
This is really a great AI tool！
MGX (Now Atoms)
@yi_chen219 Thank you so much for your kind words! We're thrilled to hear you're enjoying MetaGPT X. We've worked hard to create a multi-agent programming system that delivers real value, and feedback like yours motivates us to keep improving.
Atoms
@yi_chen219 Thank you! 🙌 We're thrilled you find MGX valuable. Our AI agents are ready to help bring your ideas to life - can't wait to see what you'll build! 🚀
MGX (Now Atoms)
@yi_chen219 Thank you, we look forward to you creating imaginative applications with us.
MGX (Now Atoms)
@yi_chen219 Glad you're enjoying it! 😊
MGX (Now Atoms)
@yi_chen219 Glad you're enjoying it! 😊
This looks really great.
Atoms
@ice_yao Thanks! Wish you have a wonderful experience
MGX (Now Atoms)
@ice_yao Thank you for the kind words! 🚀
MGX (Now Atoms)
@ice_yao Thank you for the kind words! 🙌 We’re thrilled that you find MGX impressive. Our goal is to provide an exceptional experience, and we’re excited to see how you make the most of it. Stay tuned for more updates! 🚀
TalkMe AI
Great idea, great product. Congrats on the launch!
Give me a list of 5 actual products you made that are currently live in the internet.
Just came across this today and the multi-agent structure genuinely surprised me. Most AI coding tools throw everything at one agent having a PM, architect and engineer agent with actual handoffs is a much more honest take on how software gets built. Want to try this on a real project.
Elisi : AI-powered Goal Management App
MGX sounds super ambitious — love the concept of turning AI agents into a full dev team that actually follows proper SOPs. Quick question: how much guidance does a user need to provide upfront? Do I have to write out a detailed spec, or can I just throw in a vague idea like “build me a blog for travel stories” and the team figures out the rest?
Also, curious how the AI handles back-and-forth revisions — do the agents keep track of previous changes, or does it feel like starting over each time? Would love to hear if anyone’s already built something cool with MGX!
Atoms
@williamrobertscott
Thanks for your great questions! You've touched on one of our core design principles - making development as effortless as possible!
The beauty of MGX is that you can indeed just share your vision, and let the AI team handle the execution. Simply tell them your goal clearly, and they'll figure out the details, propose features, and handle the implementation.
Here are some examples of what others have built with minimal input:
An artistic portfolio: https://art-portfolio-xn11wn-v3.mgx.world
A sleek link hub: https://linkhub-7rkvvs-v1.mgx.world
A professional portfolio: https://alex-portfolio-yhx5c3-v1.mgx.world
The best part? You can instantly remix any of these projects and customize them with your content. No need to start from scratch!
MGX (Now Atoms)
@williamrobertscott That's an excellent question. We have numerous examples in AppWorld where you can click "view chat" to see the prompts used. They vary tremendously - from one-line requests to detailed PRDs.
Humans are remarkably powerful communicators. Saying "Write a Linux" represents tens of millions of lines of code, while "Make a personal page" might mean hundreds. Yet humans can leverage precise language to accomplish either. We view natural language programming as a process of transforming "ambiguous to precise" instructions, maximizing leverage at each step. A decade ago, using C macros might give you a 10x text leverage (one byte controlling ten). Today, we're seeing 1000x or greater.
However, language contains many ambiguities. "Buy an apple" could refer to fruit or electronics, and involves considerations about price, quantity, weight, origin, logistics, amount, channel, brand, timing, quality control, organic status, expiration date, and countless combinations. AI doesn't yet have human-like preferences - it functions more as a probability-driven stateless function.
I encourage thoroughly exploring MGX alongside us to discover its boundaries and help improve it. Its leverage is incredibly high, with efficiency far exceeding humans for shorter code generation (roughly under 5,000 lines). I'll be publishing a blog post specifically addressing my thoughts on this soon.
Regarding revisions - yes, MGX agents do maintain context across iterations, allowing them to track previous changes rather than starting from scratch each time. This enables continuous refinement and development that builds on prior work.
MGX (Now Atoms)
@williamrobertscott Thank you for your thoughtful questions! As a core developer, I can share our approach to these challenges.
MGX can work with both detailed specs and high-level ideas. For a 'travel blog' request, our PM agent will first generate structured requirements and confirm with you. This ensures alignment while saving your time on detailed specifications.
Regarding iterations, our agents maintain context throughout the development process, tracking changes and design decisions. Each revision builds upon previous work rather than starting fresh.
I'd encourage you to start with a simple concept and see how our agents break it down. What kind of project are you considering? I can provide more specific technical details based on your use case.
MGX (Now Atoms)
@williamrobertscott We’d love for you to dive into MGX and see what’s possible! Here’s a selection of popular templates from App World to get you started: 🎨 Art Portfolio: https://art-portfolio-xn11wn-v3.mgx.world 🎮 Interactive Game: https://flappysnake-v2.mgx.world 📊 Data Dashboard: https://chart-js-dashboard-bbn89v-v1.mgx.world 🌐 Personal Site: https://alex-portfolio-yhx5c3-v1.mgx.world
These examples are just the beginning—you can Remix any template and quickly turn it into your own unique project. Can’t wait to see what you build! Feel free to share your thoughts with us anytime.
MGX (Now Atoms)
@williamrobertscott Thank you for your thoughtful feedback and great questions! 🙌 MGX is designed to be flexible—whether you provide a detailed spec or just a general idea like “build me a blog for travel stories,” the agents can adapt to your input and collaborate to deliver results. For revisions, the AI team keeps track of previous changes, ensuring a seamless back-and-forth process without starting from scratch. It’s all about making the experience intuitive and efficient. We can’t wait to see the amazing projects users create with MGX! 🚀
This looks really interesting, would love to try! I'm very bullish on multi-agent systems. Congrats on the launch and good luck! 👏
How does it compare with current tools like Devin, or IDEs like Cursor?
Atoms
@new_user__1942023a9284e5313298d03
Thanks for asking! MGX takes a fundamentally different approach from Cursor and Devin. While they focus on being AI coding assistants, MGX leverages MetaGPT's multi-agent framework (45k+ stars on GitHub) to simulate a complete development team.
Think of it like this: instead of a single AI assistant, MGX provides specialized AI agents that collaborate like a real team. Each agent has specific expertise and responsibilities, working together seamlessly through structured SOPs.
Our research paper 'MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework' (https://arxiv.org/abs/2308.00352) details this unique approach, which is fully open-source.
Currently, we excel at web development with various templates and Supabase backend integration, while maintaining project context through iterations. Would love to hear what kind of development work you're interested in! 🚀
MGX (Now Atoms)
@new_user__1942023a9284e5313298d03 Thank you for your kind words and interest in MetaGPT X (MGX)! We're excited about its potential too.
MetaGPT X differentiates itself from tools like Devin and Cursor by taking a multi-agent architecture approach to software development. Here's how it compares:
Architecture: Unlike single-agent systems, MGX employs specialized agents (like product managers, architects, engineers, and QA) that work together with distinct roles and goals—similar to how human teams collaborate.
Context Efficiency: Each agent only processes relevant context, significantly reducing token consumption compared to single-agent approaches.
Specialized Expertise: With dedicated agents for specific tasks, MGX delivers higher quality outcomes—architects focus on stable system design, engineers on implementation, QA on testing, etc.
Extensibility: New agents can be easily added to the system without extensive customization.
Independent Evolution: Individual agents can be optimized separately, allowing for targeted improvements.
Would you be interested in trying out MGX? We'd love to hear about your specific use cases!
MGX (Now Atoms)
@new_user__1942023a9284e5313298d03 Thank you so much for the kind words! 🙌 MGX stands out by offering a fully collaborative multi-agent system with personified roles like PMs and architects, making it feel like a real virtual team. While tools like Devin and Cursor are great, MGX focuses on structured teamwork and real-world SOP integration. We’d love to hear your thoughts once you try it out! 🚀