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title: Agent State Management: Redis vs Postgres for AI Memory
description: 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...
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# Agent State Management: Redis vs Postgres for AI Memory

**[SitePoint](https://daily.dev/sources/sitepoint)** · 15 min read · 1 upvotes · 0 comments

## Summary

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 and async consolidation to Postgres for long-term storage. Benchmarks show Redis-only degrades below 70% recall past 50 turns, while the hybrid achieves <1ms hot reads with >92% recall. Practical Python and SQL schemas, Docker Compose setup, and a decision framework for choosing between Redis-only, Postgres-only, or hybrid are included.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.sitepoint.com/state-management-for-long-running-agents-redis-vs-postgres/>

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#pgvector](https://daily.dev/tags/pgvector), [#postgresql](https://daily.dev/tags/postgresql), [#redis](https://daily.dev/tags/redis)

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