Ross ROSS = Recommend OSS · open-source software intelligence for agents

micro/go-micro

A Go agent harness and service framework observed · 2026-08-28

github.com/micro/go-micro · homepage · Go · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

95/100

  • Activity 99
  • Release rhythm 87
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 1.0
  • age_days: 4250
  • days_rel: 8
  • days_push: 8
  • n_releases_24m: 63

Full methodology

Adoption not part of the score

23043 stars · 2418 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Go Micro is a Go framework and CLI that combines an AI agent harness with a microservices framework, giving agents tools, memory, guardrails, planning, and service discovery on one runtime. Service endpoints automatically become AI-callable tools via MCP, agents are reachable over the A2A protocol, and deterministic work is orchestrated with durable, checkpointed flows.

Use cases

  • build AI agents in Go with tools and memory
  • expose microservice endpoints as MCP tools for LLMs
  • generate services from a natural language prompt
  • orchestrate multi-agent workflows with durable flows
  • make agents discoverable via the A2A protocol
  • scaffold and hot-reload microservices locally with a CLI
  • build a chatbot that talks to backend services

When to choose

  • you're building agents or agent-backed services in Go
  • you want MCP/A2A interoperability out of the box
  • you need a batteries-included microservices runtime with pluggable discovery, RPC, and pub/sub
  • you want deterministic workflows that hand off to LLM agents

When to avoid

  • you need a lightweight agent library without a full service framework
  • your stack is Python or TypeScript rather than Go
  • you want a minimal HTTP framework without AI/agent features
  • you need a very mature, conservative framework — the agent features are new and evolving

Facets

framework · maturity active

agent-framework rpc mcp web-framework workflow-automation chatbot llm-inference middleware service-discovery cli microservices large-language-models backend developer-tools apis go windows cli self-hosted agent-harness a2a-protocol mcp-gateway services-as-tools durable-workflows code-generation microservices-framework pluggable-architecture ai-agents automation linux macos docker

6 sources

Member repositories

RepositoryRoleHealth v2
micro/go-micromain95

For agents

markdown · JSON · MCP: product_card(name="micro/go-micro")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem