Hybrid SQLite FTS5 and LibSQL Memory Design for On-Chain Autonomous Agents

A DEV Community article argues that many autonomous agents wrap external vector databases like Pinecone or Weaviate, which can cause high latency and rising costs when storing static transaction history. For on-chain agents, such as those monitoring DEX liquidity or rebalancing treasuries on Base L2, the author contends that deterministic SQL state combined with lexical and semantic retrieval is more suitable. The proposed approach starts with local SQLite using FTS5 for exact string matching such as wallet addresses, then scales to distributed LibSQL (Turso) when multiple worker instances cause write-lock contention. The article includes a minimal table schema and Python code for recording and recalling agent execution states. It concludes by suggesting a hybrid fallback where precise FTS lookup precedes semantic retrieval.
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