So I built something to fix this. It's called In Memoria. Its an MCP server that gives AI tools persistent memory. Instead of starting fresh every conversation, the AI remembers your coding patterns, architectural decisions, and all the context you've built up.
The setup is dead simple: `npx in-memoria server` then connect your AI tool. No accounts, no data leaves your machine.
Under the hood it's TypeScript + Rust with tree-sitter for parsing and vector storage for semantic search. Supports JavaScript/TypeScript, Python, and Rust so far.
It originally started as a documentation tool but had a realization - AI doesn't need better docs, it needs to remember stuff. Spent the last few months rebuilding it from scratch as this memory layer.
It's working pretty well for me but curious what others think, especially about the pattern learning part. What languages would you want supported next?
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