A developer built a cloud-based context layer for AI that stores personas, knowledge, and skills, accessible via MCP across multiple AI tools like Claude, ChatGPT, and Gemini, improving reusability and collaboration.
Hey everyone ! Long story short, I started working heavily with AI about a year ago. As I was learning to code, I would document everything in html files that I kept either on github or on my computer (How to do X feature, How to implement Stripe, Errors & Fixes that I came Across, Ai System Commands, Design Rules for AI, AI Personas, massive knowledge Files about SEO, Marketing, etc.) Basically every new thing that I did and would reuse would be documented in html files. And every time i wanted to use it again I would have to drop it in a new chat to "awaken" the ai to the persona or knowledge, or in my codebase for new projects. When I wanted to share a file to my teammate i had to send it to him so he could feed his ai chats with it but if he updated the context then he had to send it back to me, and it quickly became messy. Anyways, I create a lot of tools, and wanted to be able to reuse components i had already built without having the ai always rewrite the code (and make mistakes) knowing i had the exact architecture somewhere. I did not know much about mcp so I tried playing around with it lately, and ended up building a cloud-based context layer for ai. It's like a mix between google drive and github for the versioning) for AI context files (skills, knowledge, instructions, etc). I can connect it via MCP to any tools like Claude, Chatgpt, Gemini, Lovable, and probably many more that i didn't try but it allows me to get my files from anywhere and have the ai browse it as well as create files, updates versions, and invite teammates to a common vault. I'm very happy with it because it is basically improves the workflow i started using about a year ago and was wondering if that would be useful to anyone else ? The tool is free, if you want to try it just lmk, I'd be happy to know what anyone could use it for. Also if you have a specific tool or workflow you currently use to store your ai context and feed it to AI, I'd love to hear from your experience.
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