A Go framework for distributed systems, Go Micro provides core RPC and event-driven communication capabilities. It targets developers building microservices, offering sane defaults and a pluggable architecture to simplify development and enable an agent-first workflow.

How It Works

The framework abstracts distributed system complexities through features like built-in authentication, dynamic configuration, a data storage interface, automatic service discovery (defaulting to mDNS), client-side load balancing, and dynamic message encoding (protobuf, JSON). Its pluggable interface design ensures runtime agnosticism, allowing any underlying technology to be swapped in. A key differentiator is its Model Context Protocol (MCP) integration, which transforms services into AI-callable tools.

Quick Start & Requirements

• Install: go get go-micro.dev/v5@latest and go install go-micro.dev/v5/cmd/micro@v5.16.0. Use specific versions to avoid module path conflicts.
• Prerequisites: Go, protoc-gen-micro.
• Run: micro new <service-name>, cd <service-name>, micro run.
• Links: 📖 Documentation, Discord, Examples, MCP Guide, Deployment Guide.

Highlighted Details

• Agent-First Workflow: Services automatically become AI-callable tools via MCP, accessible through an Agent Playground and MCP Tools Registry.
• Pluggable Architecture: Core distributed system abstractions are Go interfaces, allowing runtime agnosticism and easy replacement of underlying technologies.
• Simplified Development: Abstracts complexities of distributed systems with sane defaults, enabling rapid prototyping and development.
• Integrated Workflow: micro run provides local development with hot-reloading, API gateway, and more. micro deploy facilitates systemd-based Linux deployments without Docker or Kubernetes.

Maintenance & Community

The project is open-source with sponsorship opportunities and a Discord community. Adopters include organizations in fields like earth observation.

Licensing & Compatibility

The license type is not specified in the provided README.

Limitations & Caveats

Deployment is primarily focused on Linux environments using systemd, with no explicit support or mention of Docker or Kubernetes for deployment.