Built for devs. Trusted by devs.
The 2025 Stack Overflow Developer Survey is out, and devs worldwide have spoken. They named Redis 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 Redis is fast, flexible, and—most importantly—reliable.
Built for devs. Trusted by devs.
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 because Redis gives you:
- Ultra-fast vector search with Redis Vector Library (RedisVL) for retrieval-augmented generation (RAG)
- Semantic caching 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.
Redis powers AI apps across industries—from AI copilots and chatbots to internal assistants and agentic workflows—because Redis fits seamlessly with countless dev tools. From LangChain and LangGraph to custom-built frameworks, Redis has got you covered.
Don’t take our word for it. See what 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.”
Just like with Relevance AI, Redis empowers organizations to offload infrastructure complexity and focus on building intelligent, scalable AI apps that just work.
Build with the tools the community trusts
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