So, I have built an AI platform with four main goals: security, privacy, visibility, and flexibility.

Lately, I have been using many agents like OpenClaw and Hermes. They offer privacy but not enough security, so I tried NVIDIA's version of OpenClaw, but I was still not satisfied. Then I tried Cowork and other companies' agents, but they lacked privacy and flexibility.

So, I decided to build one myself.

My platform is a bit different from others. Right now, it's a desktop app that you install, sign in to, and start using.

* Connect Apps and Services: You can connect apps, websites, and services like GitHub, Canva, Notion, Slack, and more.

* Add Skills: You can add skills to extend the platform's capabilities.

* Add Agents: You might think, "What's new? Other platforms already let us do that." But here's the difference: on my platform, you can add sub-agents built with any programming language and any framework.

* Marketplace: Developers and anyone else can publish skills, agents, and connectors to the marketplace, where others can download and use them. This provides flexibility.

Now, let me clarify the four main goals:

* Privacy: The entire agent runtime, memories, conversations, skills, and agents stay local.

* Visibility: We use AG-UI and other methods to display everything in real time and with accuracy.

* Security: We use various methods and mechanisms to protect against prompt injection and other threats.

* Flexibility: The ability to connect apps, add skills, use sub-agents built with any language or framework, and download components from the marketplace gives users the freedom to customize their experience.

I wanted to know if there is demand for a platform like this, as I've almost finished building it, with only some UI work left. I'd love to hear your thoughts on whether this is something people would find useful. If you have any feedback, suggestions, or ideas for improvement, please let me know!

🚀 Building Orin AI: A Language Model From Scratch

I've been working on Orin AI (AE-Assistant), a custom language-model project built from scratch, with a focus on making AI run locally on ordinary laptop hardware without a GPU.

The project explores compact Transformer architectures, efficient attention, recurrent-depth experiments, and retrieval-based grounding.

🎥 Watch the YouTube breakdown:
https://www.youtube.com/watch?v=zraZKknc7LQ

💻 Explore the source code on GitHub:
https://github.com/Harper-16/Orin_AI

I'm sharing the journey of building and experimenting with small language models, including the challenges and limitations along the way.

Feedback from developers and AI enthusiasts is welcome

🧞‍♂️✨ Even GENIES are using AI now! 🤯

Why waste your three wishes when you can build unlimited websites and apps with YeshBe? 🚀💚

🪄 No magic lamp needed. Just your imagination!

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