# wellle/rmq

Message queue system written in Go and backed by Redis

Repository: https://github.com/wellle/rmq
Canonical: https://ross.abutalabs.com/products/rmq
Language: Go
License: MIT
License Family: permissive
Topics: go, golang, redis, message-queue
Last push: 2024-12-13T13:54:57+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 4028, "days_push": 628, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1617, forks 207 (observed 2026-08-28T04:05:11.935638+00:00)

## What it is
rmq is a message queue library for Go backed by Redis, supporting connections, queues, consumers, batching, and Redis clusters. It lets Go services enqueue and consume tasks asynchronously using Redis as the storage layer.

## Use cases
- enqueue background jobs from a Go service
- process tasks asynchronously with worker consumers
- build a lightweight job queue without RabbitMQ or Kafka
- distribute work across multiple Go workers via Redis
- queue and batch-deliver events backed by Redis
- monitor queue statistics for a Go application

## When to choose
- you already run Redis and want a simple Go-native message queue
- you need lightweight background job processing without heavyweight broker infrastructure
- you want queue statistics, batching, and consumer management from a Go library

## When to avoid
- you need guaranteed delivery, complex routing, or AMQP features
- you don't want a Redis dependency
- you need a distributed queue across datacenters with strong ordering guarantees

## Facets
- artifact type: library
- maturity: active
- function: message-queue, caching
- domain: backend, developer-tools
- platform: go, windows
- tags: redis-backed, task-queue, background-jobs, go-library, messaging, redis, linux, macos

## Member repositories
- wellle/rmq (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:11.935638+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:49:59.151041+00:00, confidence not recorded.
  - readme: https://github.com/wellle/rmq (fetched 2026-08-28T04:05:11.935638+00:00, sha 05bbb9c996ec)
- Data as of 2026-08-30T08:39:29.467469+00:00.