Do AI agents pick Redis?
How often agents choose Redis when a developer needs caching & kv — measured across Claude, GPT, Gemini.
95% CI 51%–66%
When developers ask an AI agent for caching, Redis is picked 59% of the time — ranking #1 of 5 measured across Claude, GPT, Gemini.
34.8M package downloads / week
1 docs in FineWeb · 1.9K URLs in Common Crawl
120.9M installs / month ▲ 2% MoM
Get the full report
The per-model and per-surface breakdown for Redis — where it wins, where it loses, and to whom — plus an alert when the Pick Rate moves.
About Redis
An in-memory data store used as a cache, database, and message broker.
Redis stores data in memory, making reads and writes extremely fast. It supports a wide range of data structures—strings, hashes, lists, sets, sorted sets, streams, and more—plus optional modules for JSON, full-text search, time-series data, and probabilistic data types. Developers use it primarily for caching, session storage, real-time leaderboards, and queuing.
Where to start
Spin up a Redis server (locally via Docker or through a hosted service), then connect your application using an official client library for your language. From there, basic get/set operations and the command reference are the fastest way to learn the API.