# It’s official: We’re the #1 AI agent data storage tool

**Tagline:** News & Media | **Authors:** Jim Allen Wallace, Rini Vasan | **Categories:** Tech, Announcements | **Published:** 2025-08-08 | **Updated:** 2025-08-08

## Built for devs. Trusted by devs.

The [2025 Stack Overflow Developer Survey](https://survey.stackoverflow.co/2025) is out, and devs worldwide have spoken. They named us the most-used data management tool for AI agents—ahead of GitHub MCP Server, Supabase, ChromaDB, pgvector, and more.

**43% of devs** building AI agents trust us for memory and data storage. That’s because we’re fast, flexible, and—most importantly—reliable.

![Source: Stack Overflow, 2025 Developer Survey](https://cdn.sanity.io/images/sy1jschh/production/818d1974e9a6521c8d873bd4a72da391e41307c2-1600x1400.png)

## **Big deal? Well, it is.**

Why? Because AI agents need memory to store and recall context, tools, user preferences, and past interactions—all in real time.

Devs are using [Redis for AI](https://redis.io/redis-for-ai) because we give you:

- **Ultra-fast vector search** with [Redis Vector Library](https://docs.redisvl.com/en/latest/) (RedisVL) for retrieval-augmented generation (RAG)

- **[Semantic caching](https://redis.io/langcache/)** to reduce redundant LLM calls and cut costs

- **Scalable agentic memory** that doesn’t break in production

- **Built-in dev tools** you already know—no need to learn a new stack

## **Work with the stack you’re already using.**

We power AI apps across industries—from AI copilots and chatbots to internal assistants and agentic workflows—because we fit seamlessly with countless dev tools. From LangChain and LangGraph to custom-built frameworks, we’ve got you covered.

Don’t take our word for it. See what **[Relevance AI](https://redis.io/customers/relevance-ai/)**, a leader in AI agents for sales and support, has to say:

- **99% faster vector search**—Redis cuts search latency from 2 seconds to just 10 milliseconds

- **100% sales support automation**—AI agents now handle full SDR functions and CRM updates autonomously

- **Advanced RAG** dramatically improves data retrieval accuracy to elevate agent memory and context delivery

“When we found Redis, we saw that its tagline stayed true—it was incredibly faster than any other solution…vector search speeds go from 2 seconds to 10 milliseconds.” — *Jacky Koh, Co‑Founder & CEO, Relevance AI*

Just like with Relevance AI, we empower organizations to offload infrastructure complexity and focus on building intelligent, scalable AI apps that just work.

### **Build with the tools the community trusts**

🔗 [Explore Redis for AI docs](https://redis.io/docs/latest/develop/ai/)

💥 [Start building with Redis Vector Library](https://docs.redisvl.com/en/latest/) 

📺 Watch: [How to Build Scalable Agent Memory with Redis & LangChain](https://events.redis.io/memory-management-ai-agents-ondemand)

📅 [Register for Redis Released](https://redis.io/released/)

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