Claude Code Memory: Why You Keep Explaining the Same Thing to Claude (and the Five Layers That Fix…
A developer has created a new method called weighted-compact to address the context loss issue in Claude Code sessions. Unlike existing hook-based solutions that rely on continuous API calls and high memory usage, weighted-compact processes session files locally to create a queryable artifact. This approach extracts and scores correction pairs from user interactions, storing them efficiently on disk with minimal RAM usage. AI
IMPACT Offers a more efficient, local solution for maintaining context in long AI coding sessions, reducing reliance on cloud services.