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MemoraDB is a high-performance in-memory database (IMDB) designed for ultra-low latency key-value storage and operations, featuring RESP protocol compliance, atomic commands, and TTL-based expiry. Optimized for microsecond response times, it's ideal for real-time applications like caching and session stores.
A TypeScript/Node.js reimplementation of CodeCrafters style build-your-own-X challenges (Redis, HTTP server, tree-walking interpreter), plus a custom stage-based test harness that drives each solution over its real protocol (TCP/HTTP/CLI) and gates progression stage by stage.
In-memory key–value store with LRU eviction, hash–list indexing, sustaining <10µs access latency and persistent retrieval at ~1–2ms, epoll-based TCP server handling 10K+ concurrent connections with the RESP-2 protocol for scalable client–server communication. Benchmarked extensively via redis-benchmark achieving 92K GETs/sec and 84K SETs/sec .
Noema is a semantic cache for LLM apps in Java 21: caches responses by meaning via a from-scratch HNSW vector index, with request coalescing. Built on a RESP key-value engine (redis-cli compatible).
A Redis server reimplemented from scratch in C99. Full RESP protocol, 50+ commands across strings, lists, hashes, sorted sets, streams, transactions, and geo. No libraries. No dependencies.
Embedded Redis Server is a lightweight, in-process Redis-compatible server written in Kotlin. Designed for testing, development, and CI/CD pipelines. Features Spring Boot auto-configuration, RESP2 protocol support, and zero external dependencies. Use it just like H2 Database - simply add the dependency and start coding!
A key-value store built from scratch in Python to understand Redis internally: hand-written RESP protocol parser, lazy TTL expiration, append-only log persistence, and thread-per-connection concurrency. Speaks real RESP, so redis-cli works with it directly.