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7 months ago
I spent 7 months building a "weekend project." Started because my local LLM kept forgetting my name mid-conversation. Ended up building a full reverse proxy with NLP-powered fact extraction, intent-aware memory injection, multi-user isolation, and a web dashboard. The realization that changed everything: the LLM is the easy part. The hard part is the deterministic infrastructure around it context management, memory persistence, user identity, file processing. Every time I moved a decision from "let the LLM figure it out" to "handle it in code," reliability went up.
Some questions for the community:
- What's your biggest frustration with local AI setups that nobody talks about?
- Would you trust a local memory layer that runs entirely on your machine, or does "AI that remembers you" feel inherently creepy?
