When building our local AI agent CLI (VYN), we made a radical decision that eliminated 90% of our deployment friction: we completely abandoned native Windows executable support.
Here is why we did it, and what we learned about systems...
I built our AI agent's memory system three times. The first version was embarrassing.
Every time the user said something, the agent stored it as a string in SQLite. Every time the user asked a question, it ran a basic SQL query:
WHERE content LIKE '%keyword%'
🚀 Just Launched: Wencis v0.1.0 is officially live on PyPI!
Over the past week, I've been building and refining Wencis — an open-source, local-first async reasoning engine designed to solve one of the biggest bottlenecks in AI agent development: debugging reasoning loops and...
The more useful your AI assistant becomes, the more dangerous it is.
This is the Intimacy-Privacy Tradeoff.
For an AI assistant to be truly useful over a long time horizon, it needs deep context about you: your financial goals, your codebase structure, your unfinished ideas, your...