micro--go-micro
Asim Aslam
14ec9b955f
* Update docs and roadmap to March 2026 with focus priorities - ROADMAP.md: Updated from Nov 2025 to reflect Q1 completions and current state - ROADMAP_2026.md: Updated status to March 2026, added model package as delivered - CURRENT_STATUS_SUMMARY.md: Rewrote with March 2026 status and clear next priorities - PROJECT_STATUS_2026.md: Added model package section, updated recommendations - Website roadmap: Updated Q3 security status and timestamps Key focus areas identified: documentation guides, multi-protocol MCP, LlamaIndex SDK, and OpenTelemetry integration. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * Add CLAUDE.md and four documentation guides to fill doc gaps - CLAUDE.md: Project guide with structure, build commands, and priorities - ai-native-services.md: End-to-end tutorial building an MCP-enabled task service - mcp-security.md: Production security guide (auth, scopes, rate limiting, audit) - tool-descriptions.md: Best practices for writing Go comments that help agents - agent-patterns.md: Six integration patterns from single-agent to event-driven - Updated docs index with new "AI & Agents" section linking all four guides These were the highest priority gaps identified in the roadmap analysis: the framework has solid features that were under-documented. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc --------- Co-authored-by: Claude <noreply@anthropic.com>
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Docs
Documentation for the Go Micro framework
Overview
Go Micro is a framework for microservices development. It's built on a powerful pluggable architecture using Go interfaces. Go Micro defines the foundations for distributed systems development which includes service discovery, client/server rpc and pubsub. Additionally Go Micro contains other primitives such as auth, caching and storage. All of this is encapsulated in a high level service interface.
Learn More
To get started follow the getting started guide. Otherwise continue to read the docs for more information about the framework.
Contents
- Getting Started
- MCP & AI Agents - Turn services into AI-callable tools with the Model Context Protocol
- CLI & Gateway Guide - Development vs Production modes
- Quick Start
- Architecture
- Configuration
- Registry
- Broker
- Client/Server
- Transport
- Store
- Plugins
- Examples
Development & Deployment
- micro run - Local development with hot reload, API gateway, and agent playground
- micro build & deploy - Build binaries and deploy to production
- micro server - Optional production web dashboard with auth
AI & Agents
- Building AI-Native Services - End-to-end tutorial for MCP-enabled services
- MCP Security Guide - Auth, scopes, rate limiting, and audit logging
- Tool Description Best Practices - Writing docs that make agents effective
- Agent Integration Patterns - Multi-agent workflows and architectures