Long-running AI agents need persistent state beyond the context window. Redis excels at working memory with sub-millisecond reads and TTL-based cleanup, while Postgres with pgvector handles episodic and semantic memory with ACID durability and >94% precision@5 recall. A hybrid write-through architecture uses Redis for hot state
Table of contents
Redis vs. Postgres for Agent State ComparisonTable of ContentsThe "Context Window Isn't Memory" ProblemRedis as Agent Working MemoryPostgres as Agent Episodic and Semantic MemoryBenchmark: Latency vs. Recall for Hybrid Memory SystemsThe Hybrid Architecture: Bridging Redis and PostgresDecision Framework: When to Use WhatKey TakeawaysSort: