How to optimize memory retrieval and reasoning in a local AI companion?
Feathered-Beast · reddit · 2026-08-24
The author is building a local AI companion and working on its cognitive layer: understanding intent, selecting relevant context, retrieving useful memories, reasoning, generating responses, and updating state. Current challenges include optimizing memory selection without flooding the prompt, handling outdated or conflicting memories, determining relevance, enabling pre-response reasoning, and modeling persistent mood/interests without repetition. The author seeks approaches from others building local agents.
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