Tool · October 2026
How often do AI models pick Redis?
In October 2026, Redis was named in 11 of 900 picks, by 7 models, in 2 categories. Most of them were in Caching: 9 of 24 picks (38%). That is 1.2% of all 900 picks; Laguna S 2.1 named it most often (2 times).
n = 11 picksMeasured 2026-10-19Method
Model pick, not a product recommendation. The models answered without a repository, existing code or tools, so the index shows what a model names when nothing in the project constrains it. It says nothing about quality, security, price or market share.
By category
| Category | Picks | of | Share | Bar | Most named in category |
|---|---|---|---|---|---|
| Caching | 9 | 24 | 38% | this tool | |
| Background jobs | 2 | 63 | 3% | BullMQ |
By context
| Context | Picks |
|---|---|
| Next.js (TypeScript) | 0 |
| Python FastAPI | 6 |
| Vibe coder (non-technical) | 1 |
| EU users (GDPR) | 4 |
By model
| Model | Picks |
|---|---|
| Laguna S 2.1 | 2 |
| Gemini 3.1 Pro | 2 |
| Gemini 3.6 Flash | 2 |
| GPT-5.6 | 2 |
| Claude Opus 5.5 | 1 |
| Claude Sonnet 5.5 | 1 |
| Kimi K3 | 1 |
Alternatives named in the same runs
When a model picked Redis, these are the other tools it listed, by number of runs.
- Memcached: 6 runs
- Valkey: 6 runs
- fastapi-cache2: 3 runs
- KeyDB: 3 runs
- RabbitMQ: 2 runs
- Dragonfly: 2 runs
- DiskCache: 2 runs
- Amazon SQS: 1 runs
Vendor facts
We have not verified facts about Redis yet. Use the vendor's own documentation.