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An in-memory real-time data platform and key-value store for caching, streaming, search, time-series, and vector workloads.
An in-memory real-time data platform and key-value store for caching, streaming, search, time-series, and vector workloads.
Redis is an open-source, in-memory data platform that provides ultra-low-latency data structures and services for real-time applications. It supports core data types (strings, hashes, lists, sets, sorted sets) and advanced capabilities via modules (RedisJSON, RediSearch, RedisTimeSeries, RedisBloom, RedisGraph and vector search). Redis can be deployed self-managed or via Redis Enterprise/Cloud for managed hosting, clustering, active-active geo-distribution, and enterprise features. Its combination of in-memory performance, rich data structures, persistence options (RDB/AOF), high-availability (Sentinel/Clustering), and module ecosystem makes it broadly useful for caching, messaging, analytics, and AI/agent memory workloads.
https://redis.io/docs/latest/integrate/redis-mcp/
💡 MCP (Model Context Protocol) enables AI assistants to securely interact with local and remote resources.