caching

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.

Automation engine to build, test and ship any codebase. Runs locally, in CI, or directly in the cloud

Efficient cache for gigabytes of data written in Go.

HAProxy Load Balancer's development branch (mirror of git.haproxy.org)

Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.

Readyset is a MySQL and Postgres wire-compatible caching layer that sits in front of existing databases to speed up queries and horizontally scale read throughput. Under the hood, ReadySet caches the results of cached select statements and incrementally updates these results over time as the underlying data changes.

Provides extended PSR-6, PSR-16 (and tags) implementations

Varnish Cache source code repository

FusionCache is an easy to use, fast and robust hybrid cache with advanced resiliency features.

Download, cache and show images in a flutter app

CacheManager is an open source caching abstraction layer for .NET written in C#. It supports various cache providers and implements many advanced features.

Eloquent model-caching made easy.

The civilized way to write REST API clients for iOS / macOS

:boom: EasyCaching is an open source caching library that contains basic usages and some advanced usages of caching which can help us to handle caching more easier!

Build real-time apps (Blazor included) with less than 1% of extra code responsible for real-time updates. Host 10-1000x faster APIs relying on transparent and nearly 100% consistent caching. We call it DREAM, or Distributed REActive Memoization, and it's here to turn real-time on!

Measure token savings per AI coding agent, optimize context, and share a live local knowledge graph across 16 CLI clients.

🦀 Prevents outdated Rust code suggestions from AI assistants. This MCP server fetches current crate docs, uses embeddings/LLMs, and provides accurate context via a tool call.

Pluggable metadata management framework for versioned incremental multimodal data/ML pipelines.

Reference architecture for LLM-based applications on Google Cloud Platform with Redis Enterprise as a high-performance data layer.

Scalable API gateway that aggregates calls to multiple LLMs (OpenAI, Hugging Face, Groq, Anthropic, Gemini, etc.), includes caching, rate limiting, logging, monitoring and production-ready deployment.