7 min readJust now
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How I gave every AI assistant a shared, temporal memory — and why portability matters more than you think.
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I got tired of training every new AI tool
Every time I switch from Claude to Cursor, from Windsurf to Kiro, I lose everything. My preferences. My context. My history. It’s like hiring a new assistant every week who knows nothing about you.
And here’s the uncomfortable part: I wasn’t choosing tools based on which was best. I was choosing based on which one knew me best. I was locked in, not by features,…
7 min readJust now
–
How I gave every AI assistant a shared, temporal memory — and why portability matters more than you think.
You don’t have a premium Medium Account? 🔗 Read the complete article
I got tired of training every new AI tool
Every time I switch from Claude to Cursor, from Windsurf to Kiro, I lose everything. My preferences. My context. My history. It’s like hiring a new assistant every week who knows nothing about you.
And here’s the uncomfortable part: I wasn’t choosing tools based on which was best. I was choosing based on which one knew me best. I was locked in, not by features, but by memory.
Sound familiar?
This is exactly how Google and Meta won. They didn’t build the best products. They built products that knew you so well that switching felt impossible.
I refused to let that happen with AI tools, I wanted them to be able to work together as a team and to learn from the interactions I have with each one of them.
What I Actually Wanted
I wanted one memory system that:
- Works with Claude Desktop, GPT, Cursor, Kiro — anything that supports MCP
- Understands me: my preferences, my projects, my patterns, my clients everything
- Remembers context across conversations and tools