Practical · Building a Memory-Enabled AI Writing Partner (Part 2): Database (From JSON to Single Table to Relational Tables)

Wed, 28 Jan 2026 10:00:00 +0800

If you’ve already read Building a Memory-Powered AI Writing Partner (Part 1): Multi-Agent Architecture Evolution, you likely have a high-level understanding of how multiple agents collaborate and how memory is chained together. But what truly makes a system viable long-term isn’t just a pretty architecture diagram—it requires a data foundation that can withstand growth: one that supports querying, modification, and rollback.

This article focuses on the evolution of the “fact layer” (the database): JSON files → SQLite single database (KV) → SQLite single database (relational tables). Semantic search, hybrid search, full graph indexing, and cloud migration are covered separately in the next article, Building a Memory-Powered AI Writing Partner (Part 2): Retrieval Systems (Vector Search, Hybrid Search, and Cloud Migration).

Database Design - Tag - Shengxu · Cloud Architecture & DevOps

Practical · Building a Memory-Enabled AI Writing Partner (Part 2): Database (From JSON to Single Table to Relational Tables)