# Best databases for agent memory: Redis vs. Pinecone vs. MongoDB vs. Weaviate

DevFeed: [Best databases for agent memory: Redis vs. Pinecone vs. MongoDB vs. Weaviate](<https://devfeed.tech/articles/best-databases-for-agent-memory-redis-vs-pinecone-vs-mongodb-vs-weaviate-4767.md>)

Original publisher: [Read original article](<https://redis.io/blog/best-databases-for-agent-memory/>)

Author: James Tessier

Published: 2026-07-10T00:00:00Z

Content type: comparison

Language: en

Sources: [Redis Blog](<https://devfeed.tech/sources/redis-blog.md>)

Topics: [AI Bots](<https://devfeed.tech/topics/ai-bots.md>)

Tags: [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [cache](<https://devfeed.tech/tags/cache.md>), [databases](<https://devfeed.tech/tags/databases.md>), [embeddings](<https://devfeed.tech/tags/embeddings.md>), [memory](<https://devfeed.tech/tags/memory.md>), [redis](<https://devfeed.tech/tags/redis.md>), [retrieval](<https://devfeed.tech/tags/retrieval.md>), [tech-de](<https://devfeed.tech/tags/tech-de.md>), [vector](<https://devfeed.tech/tags/vector.md>)

## AI overview

A comparison of Redis, Pinecone, MongoDB, and Weaviate for AI-agent memory workloads. It frames agent memory as short-term recall, long-term vector retrieval, and operational state, and describes Redis as covering all three patterns.

## Source excerpt

AI agents don't have one memory requirement. They have three: recalling what happened seconds ago, retrieving what they learned weeks ago, and tracking what they're doing right now. Most databases handle one of those patterns well, which is why so man...