Robust Memory Retrieval System

[chris-cozy]

Summary
Implement a memory retrieval system that allows the agent to recall past information based on multiple factors such as relevance, significance, and recency. This will enable the agent to provide more contextually aware and human-like responses across interactions.

Details

• Retrieval Criteria

  • Relevance: Prioritize memories most related to the current query or context.
  • Significance: Weight important or emotionally salient events more heavily than trivial ones.
  • Recency: Recent interactions should surface more easily, while still allowing for older but significant memories.

• Ranking & Selection

  • Memories should be scored and ranked using a combination of the above criteria.
  • A configurable threshold or limit ensures only the most useful memories are surfaced.
  • Older or less relevant items can decay in priority unless reinforced by repeated references.

• Persistence & Structure

  • Store memories in a structured format (e.g., entries with metadata such as timestamp, importance, tags).
  • Support incremental updates to memory as new interactions occur.
  • Ensure retrieval works efficiently even as memory size grows.

Example Scenario

• User previously mentioned a favorite genre of movies weeks ago.
• When asking for a new recommendation, the system recalls this preference as significant even though it’s not recent.
• In contrast, a casual comment from yesterday that’s irrelevant to the current request is not surfaced.

Acceptance Criteria

• System retrieves memories using combined relevance, significance, and recency.
• Retrieved memories are ranked and filtered for usefulness.
• Significant memories persist longer than trivial ones.
• Memory retrieval scales as the knowledge base grows.
• System supports updating and reinforcing existing memories.

Why This Matters
A robust memory retrieval system transforms the agent from a short-term conversational partner into a long-term, contextually aware assistant. By factoring in relevance, significance, and recency, the agent can provide richer, more human-like interactions that feel consistent over time.