#594 · Primary category: AI Agents & Automation

rulego

ai automation data-flow edge-computing go intergrations iot ipaas low-code low-code-framework mcp mcp-client mcp-server rule-engine rulego workflow workflow-automation workflow-engine

⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.

Project last updated:08/26/26

GitHub Stars

1.6K

Forks

155

Contributors

10

License

Apache-2.0

Why we included this project

RuleGo is a Go rule engine you can embed in your own service or run on its own, and it pairs classic orchestration with an LLM agent layer. Business logic lives in JSON rule chains that reload at runtime, so you can change behavior without recompiling or restarting. An agent in RuleGo is itself a chain, built from a ReAct reasoning loop, tool calls, sub-agent delegation, session memory, and MCP integration, which lets you slot LLM reasoning into the same pipeline as ordinary nodes like REST calls, MQTT pushes, or database operations. Because the runtime is lightweight and dependency-free, it suits edge and IoT deployments as well as a standalone cloud service. It is a solid choice when you want workflows and agents you can adjust live instead of redeploying code.

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