Instant Local Redis for
Modern Developers.
Run a full-featured Redis server in under 500ms with a single command. Zero Docker Desktop RAM hogging, zero WSL2 setup, zero C++ compilers. Built with pure Node.js & WebAssembly.
Why Developers Ditch Docker for redis-local
Compare redis-local directly against Docker Desktop, WSL2 virtual machines, and legacy Windows binaries.
| Feature / Metric | ⚡ redis-local | 🐳 Docker Desktop | 🐧 WSL2 / Linux VM | 📦 MSOpenTech (Archived) |
|---|---|---|---|---|
| Startup Time | ⚡ < 500 ms | ⏳ 15 – 45 seconds | ⏱️ 5 – 15 seconds | ⏱️ 1 – 2 seconds |
| RAM Consumption | 🪶 ~25 – 35 MB | 🚨 2.5 GB – 4.5 GB | ⚠️ 1.0 GB – 2.0 GB | 🪶 ~30 MB |
| Installation Friction | ✨ Zero (npx redis-local) | ❌ 1.2 GB Installer + Engine | ❌ WSL Kernel + Distro | ❌ Manual ZIP extraction |
| C++ Compilers Required | ✅ None (Pure JS + Wasm) | ✅ None | ✅ None | ❌ Visual Studio 2017 |
| Locked Corporate Laptops | ✅ 100% (No Admin Rights) | ❌ Often Blocked by IT | ❌ Hyper-V restricted | ❌ Unpatched CVEs |
| BullMQ & Lua Scripting | ✅ Supported (Wasmoon Wasm) | ✅ Supported | ✅ Supported | ❌ Broken (Redis 3.x) |
| CI/CD Headless Testing | ✅ Instant in GitHub Actions | ⚠️ Slow Docker-in-Docker | ❌ Unsupported | ❌ Windows-only binary |
Built for Real-World Development
Full BullMQ & Job Queue Compatibility
BullMQ relies heavily on atomic Lua scripts (EVALSHA, EVAL) to handle locks, token renewals, repeatable jobs, and delayed queues. redis-local embeds a WebAssembly Lua 5.4 engine (wasmoon), allowing BullMQ to run flawlessly without crashes or missing commands.
Sub-Second Startup
Boots in under 500ms directly on Node.js. Run it on-demand in npm scripts or leave it running in a background terminal.
Streams & Pub/Sub
Build event-driven apps with full support for XADD, XREAD, XRANGE, PUBLISH, and SUBSCRIBE.
Auto-Persistence
Snapshot your dataset seamlessly with the --save flag. Writes atomic JSON state dumps and auto-restores on restart.
Universal Client Support
Connects with any Redis client: ioredis, @redis/client, Python's redis-py, Go, or redis-cli.
Zero Configuration Required
Point your code to 127.0.0.1:6379 and run.
Replace Jira, Confluence & TestRail with One Fast Workspace.
We built redis-local to eliminate developer friction within our own engineering teams. Experience the same speed in your day-to-day project management, AI test management, and engineering docs with Klority.
Frequently Asked Questions
Common Questions
Everything you need to know. Click a question to expand the answer.
What is redis-local?
redis-local is an open-source, zero-dependency Redis replacement created for developer workstations, automated testing, and CI pipelines. It executes native RESP protocol commands in pure JavaScript and uses WebAssembly (wasmoon) for atomic Lua script evaluation.
Does redis-local support BullMQ out of the box?
Yes. BullMQ relies heavily on complex, atomic Lua scripts (like moving jobs between delayed, wait, and active sets). redis-local compiles Lua 5.4 via WebAssembly with full redis.call() bindings, allowing BullMQ queues, workers, and rate limiters to run with 100% compatibility.
Why use redis-local instead of Docker Desktop?
Docker Desktop requires WSL2 on Windows, consumes 2.5GB to 4.5GB of RAM just to keep the virtual machine alive, and is often locked down on corporate laptops by enterprise IT policy. redis-local starts in under 500ms, uses ~28MB of RAM, and runs with a single command without administrator privileges.
How does data persistence work?
When launched with the --save flag, redis-local automatically writes atomic JSON state snapshots (redis-dump.json) upon shutdown or periodic intervals, restoring your data when restarted.
Can I run redis-local in CI/CD pipelines?
Yes! In GitHub Actions or GitLab CI, simply run npx redis-local --port 6379 & before your test suite. There is no need to set up Docker-in-Docker or wait for container daemons to initialize.
Is redis-local suitable for production?
No. redis-local is engineered specifically for local development, rapid prototyping, and automated CI test runs. For production systems, you should use standard Redis Enterprise, AWS ElastiCache, or Redis Cloud.
Navigation