Redis

In-Memory Database / Cache / Message Queue R Integrations & Community

Basic Information

  • Developer: Redis Ltd. (formerly Redis Labs)
  • Founder: Salvatore Sanfilippo
  • Country/Region: USA (Headquarters) / Israel (Founded)
  • Official Website: https://redis.io
  • GitHub: https://github.com/redis/redis
  • Type: In-Memory Database / Cache / Message Queue
  • First Release: May 2009
  • Latest Version: Redis 8.6.2
  • License: Dual License (RSALv2 + SSPLv1, starting from Redis 7.4)

Product Description

Redis is an open-source in-memory data structure store, used as a database, cache, message broker, and stream processing engine. Redis is renowned for its exceptional performance and supports a variety of data structures, including strings, hashes, lists, sets, sorted sets, bitmaps, HyperLogLog, geospatial indexes, and streams. Redis 8 is the highest-performing, most secure, and feature-rich version to date, specifically designed for modern ML and AI applications.

Core Features

  • Blazing Fast Performance: In-memory operations with read/write latency typically in microseconds
  • Rich Data Structures: Strings, hashes, lists, sets, sorted sets, streams, etc.
  • JSON Documents: Supports indexed and searchable JSON documents (JSONPath expressions)
  • Vector Collections: Supports vector collections and time series operations (AI/ML scenarios)
  • Semantic Caching: Fully managed semantic caching to reduce LLM latency and costs
  • Pub/Sub: Message publish/subscribe system
  • Persistence: Supports RDB snapshots and AOF log persistence
  • Clustering: Supports distributed cluster mode
  • Multiple Eviction Policies: Flexible cache eviction and key expiration policies
  • Geospatial Queries: Supports geospatial polygon queries (new in 7.4+)

Business Model

  • Open Source Edition Free: Community edition is free to use (RSALv2 + SSPLv1 license)
  • Redis Cloud: Fully managed cloud service
  • Free: 30MB free
  • Essentials: Pay-as-you-go
  • Pro: Enterprise-grade features
  • Redis Enterprise: Enterprise deployment solutions

Market Performance

  • The most popular key-value database globally
  • Over 68k GitHub Stars
  • Used by large companies like Twitter, GitHub, Stack Overflow, etc.
  • Rapidly growing adoption in the AI/ML field

Relationship with OpenClaw Ecosystem

Redis is used in OpenClaw as a cache and message queue. OpenClaw leverages Redis's high-speed caching capabilities to accelerate frequent data reads (such as user sessions, API response caching) and uses its pub/sub functionality for real-time message passing between agent tasks. Redis's vector collections and semantic caching capabilities can also be used to optimize LLM calls, reducing API costs and latency.