Every time I start a new conversation with Claude, I re-explain my project context. What we decided, what the architecture looks like, what we tried and rejected. The AI has no memory.
I built edgenote-ai to fix this — a lightweight shared knowledge base on Cloudflare Workers that both humans and LLMs can read and write through MCP (Model Context Protocol).
The Problem
LLMs are stateless. They process your input, generate a response, and forget everything. Memory features like ChatGPT's are limited and proprietary — you can't control what gets remembered, search it, or share it across tools.
What I wanted:
