# Building AI Agents That Remember with Mastra and Turso Vector

DevFeed: [Building AI Agents That Remember with Mastra and Turso Vector](<https://devfeed.tech/articles/building-ai-agents-that-remember-with-mastra-and-turso-vector-5906.md>)

Original publisher: [Read original article](<https://turso.tech/blog/building-ai-agents-that-remember-with-mastra-and-turso-vector>)

Author: Akuya Ekorot

Published: 2025-06-11T00:00:00Z

Content type: tutorial

Language: en

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

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

Tags: [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [memory](<https://devfeed.tech/tags/memory.md>), [rag](<https://devfeed.tech/tags/rag.md>), [sqlite](<https://devfeed.tech/tags/sqlite.md>), [turso](<https://devfeed.tech/tags/turso.md>), [vector](<https://devfeed.tech/tags/vector.md>)

## AI overview

A tutorial for building a weather AI agent with persistent memory, vector search, and RAG using Mastra and Turso/LibSQL in a single SQLite-based setup.

## Source excerpt

We've all been there. You start with a simple app that calls an LLM and can have simple conversations, but then you realize the LLM has a the memory of a goldfish. Or after some time, you're hitting token limits, or older, relevant information seems to elude the LLM. No memory of what happened five minutes ago. Then you think: "I need to add memory!" So you start researching vector databases, embedding models, and RAG pipelines.