Ross ROSS = Recommend OSS · open-source software intelligence for agents

Redis

For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine. observed · 2026-08-28

github.com/redis/redis · homepage · C · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

95/100

  • Activity 99
  • Release rhythm 86
  • Longevity 100

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 0.0
  • age_days: 6374
  • days_rel: 16
  • days_push: 7
  • n_releases_24m: 67

Full methodology

Adoption not part of the score

76114 stars · 24765 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Redis is an open-source, in-memory data structure server written in C that doubles as a cache, NoSQL data store, message broker, and document/vector query engine. It supports strings, lists, sets, hashes, sorted sets, JSON, time series, and provides full-text and vector search with transactions and scripting.

Use cases

  • cache frequently accessed data to speed up web applications
  • store user sessions in a distributed application
  • build leaderboards with sorted sets
  • implement rate limiting for APIs
  • use as a message broker or pub/sub event bus
  • run vector similarity search for AI applications
  • store and query JSON documents
  • track time-series metrics in real time

When to choose

  • you need sub-millisecond reads and writes for real-time applications
  • you want a versatile cache with multiple eviction policies and key expiration
  • you need a lightweight message broker or event store
  • you want combined document, full-text, and vector search in one engine
  • you need high-throughput data structures like counters, queues, and leaderboards

When to avoid

  • your dataset must exceed available RAM and cannot fit in memory
  • you need complex multi-table relational queries and joins
  • you require strict durability guarantees for every write without performance trade-offs
  • you need a primary system of record with rich ACID transactional semantics

Facets

service · maturity stable

database caching message-queue vector-database search-engine streaming rate-limiting databases microservices big-data windows bsd self-hosted cloud in-memory-database key-value-store nosql data-structure-server message-broker pub-sub time-series vector-search document-database session-store real-time search linux macos docker

1 source

Member repositories

RepositoryRoleHealth v2
redis/redismain95
redis/redis-docdocs10
redis/docker-library-redisinfra76

For agents

markdown · JSON · MCP: product_card(name="redis/redis")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem