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Memory Solo — AI Engineer Year 2024

Context Memory Layer

A memory service based on summarization and vector recall that keeps long-running chats consistent.

Problem

In long conversations the model exceeded its context window, and earlier decisions and preferences were lost.

Approach

  • Conversation history was summarized and layered by importance.
  • Relevant memories were recalled via vector search.
  • Memory was integrated into existing chat apps as a service.

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