Best databases for AI agent memory: a 2026 comparison

What this post added

This post introduces Redis Agent Memory as a managed service for AI agent memory, featuring two tiers: session memory for working context and long-term memory for vector embeddings. It details automatic promotion between tiers, native TTL support for data aging, and structured key patterns for data deletion. It also positions Redis Iris as a context engine combining memory, retrieval, live data, and semantic caching, mentioning LangCache for LLM cost reduction and Redis Flex for tiered storage.