Ross ROSS = Recommend OSS · open-source software intelligence for agents

apache/rocketmq

Apache RocketMQ is a cloud native messaging and streaming platform, making it simple to build event-driven applications. observed · 2026-08-28

github.com/apache/rocketmq · homepage · Java · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

90/100

  • Activity 99
  • Release rhythm 74
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 119.0
  • age_days: 3563
  • days_rel: 13
  • days_push: 7
  • n_releases_24m: 7

Full methodology

Adoption not part of the score

22570 stars · 11996 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Apache RocketMQ is a distributed cloud-native messaging and streaming platform built for low-latency, high-throughput, financially reliable event-driven applications. Version 5.x adds AI-native capabilities such as million-scale LiteTopics for agent session management, batch consumption, and fine-grained flow control.

Use cases

  • build event-driven microservices with publish/subscribe messaging
  • process financial-grade transactional messages with exactly-once semantics
  • stream events between big data pipelines and analytics systems
  • manage AI agent session state and multi-agent communication at scale
  • decouple services asynchronously with ordered and scheduled messages
  • self-host a Kafka alternative with message tracing and a dashboard

When to choose

  • you need trillion-scale message capacity with low latency and high reliability
  • you require transactional, ordered, or retroactive messaging in one platform
  • you want MQTT, gRPC, and JMS protocol support from a single broker
  • you are orchestrating long-running AI agent sessions that must survive disconnects

When to avoid

  • you only need simple fire-and-forget queues where Redis or RabbitMQ suffices
  • your team is JVM-averse since the broker and tooling are Java-based
  • you need a fully managed service and cannot operate a distributed cluster
  • you rely on Kafka's ecosystem of stream processing connectors exclusively

Facets

service · maturity stable

message-queue streaming rpc auth authorization monitoring rate-limiting microservices big-data cloud-computing windows jvm self-hosted cloud event-driven pub-sub transactional-messaging mqtt grpc apache-project ai-native lite-topic session-management messaging real-time ai-agents linux macos docker kubernetes

9 sources

Member repositories

RepositoryRoleHealth v2
apache/rocketmqmain90

For agents

markdown · JSON · MCP: product_card(name="apache/rocketmq")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem