submitted by /u/karakitap
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Three Memory Architectures for AI Companions: pgvector, Scratchpad, and Filesystem
Reddit r/artificial / 4/7/2026
💬 OpinionIdeas & Deep AnalysisTools & Practical Usage
Key Points
- The article compares three different memory architectures for AI companions: pgvector-based vector storage, a “Scratchpad” approach, and a filesystem-based method.
- It explains how each architecture handles storing, retrieving, and reusing prior context to improve continuity and personalization in companion-style interactions.
- It highlights practical trade-offs among the options, such as retrieval quality, latency, implementation complexity, and how well each scales with more memories.
- The piece frames “memory” as an architectural choice that directly affects user experience outcomes like coherence over time and task consistency.
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