rulego/rulego
⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go. observed · 2026-08-28
Health v2 · maintenance only
90/100
- Activity 99
- Release rhythm 84
- Longevity 81
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: 45
- age_days: 1137
- days_rel: 30
- days_push: 7
- n_releases_24m: 16
Adoption not part of the score
1585 stars · 155 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
RuleGo is a lightweight, high-performance, embedded rule engine and component orchestration framework for Go. It lets developers compose reusable components into dynamic rule chains for data processing, integration, and workflow automation, with hot-reload and no external middleware dependencies.
Use cases
- build an iot edge rule engine in go
- orchestrate business logic without restarting the app
- route and transform mqtt messages
- build low-code data pipelines
- integrate http, mqtt, kafka, and tcp endpoints into workflows
- run llm agent workflows with mcp support
- glue together disparate systems and protocols
When to choose
- you need an embedded rule engine in a Go application
- you want lightweight edge computing on resource-constrained devices
- you need dynamic, hot-reloadable workflow orchestration
- you want to integrate many protocols (http, mqtt, kafka, tcp, websocket) with one framework
When to avoid
- you need a full standalone BPM suite with human task management
- your stack is not Go and you cannot run RuleGo-Server as middleware
- you need a visual-only no-code tool without writing code
Facets
framework · maturity active
workflow-automation middleware routing agent-framework mcp etl streaming webhook scheduling iot developer-tools backend artificial-intelligence self-hosted go cross-platform self-hosted embedded rule-engine rule-chains low-code edge-computing component-orchestration hot-reload endpoint-abstraction ipaas data-integration automation ai-agents data-engineering linux
4 sources
- readme: https://github.com/rulego/rulego · fetched 2026-08-28 · 45191d7be03c
- homepage: https://rulego.cc · fetched 2026-08-29 · 9e9cedfa36be
- site_page: https://rulego.cc/pages/endpoint-quickstart · fetched 2026-08-29 · dd3ea0e48836
- site_page: https://rulego.cc/pages/faq · fetched 2026-08-29 · 61e85e30a9ee
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| rulego/rulego | main | 90 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem