Data Management

Redis

Real-time data platform for AI agents and applications — caching, vector search, streaming, and session management

redis.io

Verified API available Works with n8n · Workato Free tier ~82k monthly visits

Quick facts
What is it	Real-time data platform for AI agents and applications — caching, vector search, streaming, and session management
Pricing	Freemium — from $5/mo
Free tier	Yes
Platform	Web Application
API	Yes
Works with	n8n, Workato
Best for	powering real-time AI agent memory and context, caching database queries to speed up web applications
Domain registered	2010

Data updated Aug. 1, 2026

What does Redis do?

Redis is a real-time data platform that helps developers build fast, scalable applications and AI agents. It started as an in-memory key-value store and has grown into a full-featured platform supporting caching, vector search, streaming, session management, and more. The company behind it offers Redis Cloud (fully managed), Redis Software (on-premises), and the open-source Redis framework. The homepage pitches Redis as the go-to data layer for AI agents, promising sub-millisecond response times and the ability to serve fresh context to large language models.

What makes Redis stand out is its versatility. You can use it as a simple cache to speed up database queries, as a vector database for semantic search in RAG pipelines, or as a message broker for event-driven architectures. Redis supports over 450 commands and offers client libraries for Python, Node.js, Java, Go, .NET, and more. The platform includes Redis Insight, a GUI for visualizing and debugging data, and RIOT for importing data from other sources. For AI workloads, Redis provides specialized tools like Redis Iris (real-time context engine), Redis LangCache (token optimization), and Redis Agent Memory (persistent agent memory).

Redis is built for developers and DevOps teams who need low-latency data access at scale. It's used by over 100 Fortune 500 companies and has been downloaded over 10 billion times via Docker. Common use cases include caching web application data, managing user sessions, powering real-time leaderboards in games, and providing vector search for AI applications. If you're building an app or AI agent that needs to read and write data in milliseconds, Redis is a solid choice.

Data Management

#ai agents#caching#developer tools#in-memory-database#real-time data#session management#streaming#vector search

Key features

What makes it stand out

Sub-millisecond read/write speeds for caching and real-time data access

Vector search and semantic search to provide AI models with relevant context

Agent memory and context retrieval for consistent AI agent experiences

Event-driven streaming and messaging for real-time data pipelines

Token optimization to reduce AI inference costs by caching common queries

Who is Redis for?

Who benefits most from this tool

powering real-time AI agent memory and context

caching database queries to speed up web applications

building real-time chat, gaming leaderboards, and session stores

Pricing

Free tier available — start without a credit card

Free

30 MB storage
shared deployment type
Shared cloud deployment
30 MB single DB
Best-effort SLA, community support

Essentials

$5.0/month

99.99% uptime
250 MB-100 GB storage
shared deployment
Shared deployment
250 MB-100 GB RAM & SSD, single DB
SAML SSO, RBAC, encryption in transit, encryption at rest
Up to 99.99% uptime, basic support only
Redis Flex at 10% RAM for lowest cost

Pro

$200.0/month

Everything in Essentials, plus:

99.999% uptime
dedicated deployment
Dedicated cloud deployment
Unlimited RAM, multiple DBs
Everything in Essentials, plus active-active (multi-region), auto-tiering, private connectivity
Up to 99.999% uptime
Flex for TBs of data, millions of ops/sec, adjustable pricing, and RAM:Flash ratio

Trust & presence

Search presence Top 10k site

Domain Domain registered 2010

Gallery

Click any image to enlarge

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