micro/go-micro

A Go agent harness and service framework

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Summary Information

Updated 48 minutes ago
Added to GitGenius on September 2nd, 2026
Created on January 13th, 2015
Open Issues & Pull Requests: 5 (+0)
GitHub issues: Enabled
Number of forks: 2,423
Total Stargazers: 23,058 (+0)
Total Subscribers: 485 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 0.0 hours
Mean response time: 2.8 days
90th percentile: 2.8 hours
Tracked items: 1,168

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 16% of issues opened in the past year have been closed. Three people close 99% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 4
New in 7 days: 1
Closed in 7 days: 2
Avg open age: 39 days
Stale 30+ days: 3
Stale 90+ days: 0

Recent activity

Opened in 7 days: 1
Closed in 7 days: 2
Comments in 7 days: 1
Events in 7 days: 4

Top labels

  • enhancement (293)
  • codex (286)
  • needs-human (6)
  • bug (4)
  • security (4)
  • question (3)
  • dependencies (1)

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Detailed Description

go-micro is a microservices framework for Go that provides a harness for building distributed systems and AI agents.

The framework addresses the challenge of building scalable, distributed applications by offering a unified abstraction layer for common microservices concerns. It handles service discovery, load balancing, message encoding, and inter-service communication through a pluggable architecture. This approach allows developers to focus on business logic while the framework manages the infrastructure complexity of distributed systems. The tool also supports building AI agents, extending its utility beyond traditional microservices patterns.

The framework suits teams building distributed systems in Go who want to avoid reinventing infrastructure components. It works well for applications requiring service-to-service communication, dynamic service discovery, and pluggable transport mechanisms. The project is particularly relevant for organizations adopting microservices architectures or exploring AI agent frameworks within a Go ecosystem.

The project shows active development with regular commits across multiple areas of the codebase. Pull requests are reviewed and merged consistently, indicating ongoing maintenance and feature development. The maintainers respond to issues and incorporate community contributions, suggesting a project that remains engaged with its user base. Documentation is maintained alongside code changes, reflecting attention to keeping guidance current with implementation.