Go Micro
Open-source Go framework that exposes every service endpoint as an MCP tool and every agent as an A2A service.
If you already run Go services and want agents to actually call them, Go Micro removes the glue work — endpoints become MCP tools without a hand-written schema, and A2A means other frameworks can reach your agents. The trade is real: you host it, you operate it, and you write Go. Teams that want a managed control plane or a no-code builder should look elsewhere. The v6.6.0 harness work on resume and retry is the most useful recent change for anyone putting agents near production paths.
Verified 3d ago · liveness 70/100 · cite: rightaichoice.com/tools/go-micro
- Go teams that want existing service endpoints callable by agents without writing tool schemas
- Platform engineers building a self-hosted runtime where agents and services share discovery and RPC
- Projects that need durable, resumable workflows mixing fixed steps with agent decisions
- Teams needing A2A interoperability so agents on other frameworks can call theirs
- Python or TypeScript teams looking for orchestration in their own language
- Buyers who want a managed platform handling hosting, scaling, and upgrades
- Anyone expecting a no-code or visual agent builder
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Skip Go Micro if your team writes Python or TypeScript, wants a managed agent platform that handles hosting and upgrades for you, or needs a no-code builder rather than a Go framework you operate yourself.
Model providers are not bundled, so your OpenAI, Anthropic, or other provider API usage is a separate bill on top of running the framework.
Go Micro is Apache 2.0 open-source and self-hosted, with no per-seat or per-request license fee. Your real cost is infrastructure plus model provider API usage you configure yourself. That puts it below managed agent platforms that bundle hosting and support, but above a plain Python agent library where you already pay only for model tokens. It fits teams that would rather pay in engineering time than in platform subscription.
In short
Go Micro — Open-source Go framework that exposes every service endpoint as an MCP tool and every agent as an A2A service. Best for Go teams that want existing service endpoints callable by agents without writing tool schemas, Platform engineers building a self-hosted runtime where agents and services share discovery and RPC, Projects that need durable, resumable workflows mixing fixed steps with agent decisions. Free to use.
What's new in Go Micro
Checked 2 days agoAcross the latest 5 updates: 1 launch, 2 changelog entries and 2 news mentions.
Go Micro publishes 'Services, agents, and workflows'
Post tracing Go Micro's path from service discovery and messaging primitives to its current services-to-agents-to-workflows framing.
Go Micro merges pull request #5000
Project merges PR #5000, marking over a decade of maintenance on the Go microservices framework.
Go Micro v6.6.0 released
Harness reliability release: more first-agent path coverage by local checks and deterministic recovery on agent resume and retry.
Go Micro v6.3.15 released
Harness release adds Anthropic streaming support, broader streaming provider coverage, and more reliable delegate execution.
micro loop introduced
Ships micro loop, the CI-backed two-agent Codex/Claude Code loop Go Micro described in its 'How Go Micro Builds Itself' post.
What people actually say about Go Micro — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
92 mentions across 6 sources (Hacker News, YouTube, Product Hunt, Bluesky, GitHub, Lemmy) · researched Jul 18, 2026.
Average across the 3 sources that answered — each source counts once, not each post.
- +Unified runtime for agents, services, and workflows simplifies architecture.
- +Automatic MCP tool exposure makes every endpoint AI-callable.
- +A2A protocol enables cross-framework agent communication.
- +Pluggable interfaces allow swapping registry, broker, transport without code changes.
- +Durable workflows with checkpointing and resume for long-running tasks.
- −Documentation has inconsistencies and half truths, confusing beginners.
- −Single maintainer leads to burnout risk and slower feature development.
- −Breaking changes between versions require migration effort for upgrades.
- −Limited community size compared to LangChain or Vercel AI SDK.
- −No no-code interface — requires Go proficiency for any customization.
- • Infrastructure costs for self-hosting (servers, networking, storage)
- • Potential time cost for learning and debugging due to documentation gaps
Viability Score
How well maintained and how widely used is Go Micro? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Agent harness combining a model, conversation history, and tools
- Service endpoints exposed as typed MCP tools
- A2A gateway so agents are discoverable and callable by other frameworks
- Workflows with recorded progress for repeatable service and agent steps
- Deterministic recovery when agents resume or retry (v6.6.0)
- Local checks covering the first-agent setup path (v6.6.0)
- Streaming provider support, including Anthropic (v6.3.15)
- micro new scaffolds a Go service, agent, or workflow
- micro run with hot reload, API gateway, and interactive console
- micro run --prompt generates a project from a natural-language description
- micro chat terminal client for talking to services and agents
- micro loop CI/CD tool built on a two-agent Codex/Claude Code loop
- Replaceable Go interfaces for registry, broker, transport, store, and auth
- Swap mDNS for Consul or HTTP for gRPC via a single option
- x402 payments so an agent can pay for third-party API usage
About Go Micro
Go Micro is an open-source, Apache 2.0 Go framework for teams that want their services and their agents running on one runtime. You implement a capability as a Go service and the framework handles discovery, RPC, and publish/subscribe so services find each other, make requests, and react to events. Give an agent access to those same services and every endpoint becomes a typed, AI-callable tool — no separate tool-definition layer to maintain. Agents are first-class here. You combine a model, conversation history, and tools, then define behaviour in Go; agents are discoverable over the Agent2Agent protocol so agents built on other frameworks can call yours. Workflows sit underneath for the repeatable parts of a job — fixed steps around service calls and agent decisions, with recorded progress, so a run can resume rather than restart. The July 2026 v6.6.0 harness release tightened this further: more of the first-agent path is covered by local checks, and agents get deterministic recovery when they resume or retry. Day-to-day work is terminal-first. micro new scaffolds a service, agent, or workflow; micro run brings it up with hot reload, an API gateway, and an interactive console; micro chat talks to agents from the command line. Storage, registry, broker, transport, and auth are replaceable Go interfaces — swap mDNS for Consul or HTTP for gRPC through a single option. Requires Go 1.26+. Positioning: this is the code-first, self-hosted end of the agent market. Python orchestration frameworks give you agents inside a script; Go Micro treats them as distributed systems and brings discovery, RPC, events, state, and auth along with them. If your stack is Go and your agents need to call production services, the overlap is the point.
Behind the Verdict
Pick Go Micro when the hard part of your agent project is the services, not the model. If agents need to call real endpoints, respect versioning, and survive a restart, the framework's service-first shape is a shorter path than wiring a Python orchestrator to your Go binaries. The v6.6.0 release is the one that matters for that use case — deterministic recovery on resume and retry is the difference between a demo and something you leave running. Pass when your team isn't in Go. The whole value proposition is that agents and services share one runtime and one set of Go interfaces; bringing a Python or TypeScript team to it means paying a language tax for architecture they'd get more cheaply elsewhere. LangChain and CrewAI remain the obvious neighbours for orchestration-only work. Also pass if you want hosting handled. Go Micro is self-hosted by design — registry, broker, transport, store, and auth are yours to choose and yours to run. That's a feature for platform teams and a cost for everyone else. In practice, the prompt-to-project path (micro run --prompt) is a fast way to see the shape of a system, but treat the generated services as scaffolding, not production code. The durable thing is the workflow model. An underrated angle: micro loop, shipped July 2026, turns the two-agent Codex/Claude Code loop the project uses on itself into a CI/CD tool. That, plus the Codex for Open Source sponsorship, hints the roadmap is oriented toward agent-driven development rather than yet another chat wrapper. Watch the version cadence. Several harness releases in quick succession means the API surface around agents is still settling — pin your version and read release notes before upgrading. Apache 2.0 with 23,000+ GitHub stars means the exit cost is low, which matters if
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Real-world workflow fit
Concrete scenarios for the personas Go Micro actually fits — and what changes day-one when you adopt it.
Run micro chat in a new project, set OPENAI_API_KEY, and describe a notes service; with no registered agents, the development agent generates the missing service, builds and starts it, and discovers its endpoints as tools.
Outcome: Generated services become tools on your next message, and every service endpoint is reachable as an AI-callable MCP tool without hand-writing schemas.
Scaffold agents with micro.NewAgent, assign services as tools with micro.AgentServices, then use micro run to bring everything up with hot reload, an API gateway, and an interactive console.
Outcome: Agents and services share one substrate for discovery, RPC, events, state, and auth, and swap mDNS for Consul or HTTP for gRPC through a single option.
Adopt micro loop, the two-agent Codex/Claude Code loop shipped July 2026, against your repository.
Outcome: Codex writes increments, Claude Code reviews, and CI enforces quality — the same loop Go Micro uses to build itself.
Use Cases
- Build a support agent that triages tickets, looks up customer data, and replies with human-in-the-loop approval.
- Create a durable order processing workflow that resumes after partial failures without re-executing completed steps.
- Expose existing Go microservices as MCP tools for use by any AI agent.
- Set up a multi-agent system where agents discover and call each other via the A2A protocol across frameworks.
- Deploy an agent that manages a GitHub repo with planning, code generation, and a CI pipeline triggered by events.
- Integrate x402 payments into an agent so it can autonomously pay for third-party API usage.
- Use micro loop to automate development: Codex writes increments, Claude Code reviews, CI enforces quality.
- Generate a full task management system from a single prompt with micro run --prompt.
Models Under the Hood
as of 2026-10-17
Limitations
- Go Micro is a Go framework (requires Go 1.26+), so you need working knowledge of Go to build services, agents, and workflows.
- It is open-source (Apache 2.0) and self-hosted, meaning you own deployment and operations rather than relying on a managed service.
- Providers are configured by you, and the live evidence references Anthropic streaming support and a Codex/Claude Code loop but names no specific underlying model versions, so model choice and version are up to your own configuration.
as of 2026-10-07
Verification history
We have re-verified Go Micro 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Go Micro's pricing actually pencils out — and where peers do it cheaper.
Go Micro is Apache 2.0 open-source and self-hosted, with no per-seat or per-request license fee. Your real cost is infrastructure plus model provider API usage you configure yourself. That puts it below managed agent platforms that bundle hosting and support, but above a plain Python agent library where you already pay only for model tokens. It fits teams that would rather pay in engineering time than in platform subscription.
Setup time & first value
How long it actually takes to get something useful out of Go Micro — broken out by persona, not the marketing-page minute.
For a Go developer already on the CLI: minutes to install and run micro chat, then the first generated service in a single conversation once a provider key is set. For a platform team wiring agents and services into an existing Go estate: an afternoon to a few days depending on how much of the registry, broker, and transport stack you rewire. For a team new to Go and to self-hosting: budget
Switching to or from Go Micro
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From gRPC microservices: the docs include a Migrating from gRPC guide and Native gRPC Compatibility notes.
- →From Go Micro v5: follow the Migrating from v5 to v6 guide, which covers v6 TLS verification by default.
- →From hand-rolled MCP servers: use the Add MCP to Existing Services guide and the Migration Guides section.
- ↗To a Python agent framework such as LangChain or CrewAI: there is no automated path — you would re-implement orchestration in Python and lose the shared Go service substrate.
- ↗To a managed agent platform: you would export your service logic as standalone Go binaries and give up the built-in MCP and A2A gateways.
Integrations
Resources & Guides
- Documentationgo-micro.dev
Docs · Go Micro
Full product docs from go-micro.dev
- Quickstartgo-micro.dev
Getting Started · Go Micro
Get up and running fast from go-micro.dev
- Documentationgo-micro.dev
Ai Integration · Go Micro
Full product docs from go-micro.dev
- Documentationgo-micro.dev
Mcp · Go Micro
Full product docs from go-micro.dev
- Guidego-micro.dev
Guides · Go Micro
In-depth how-to from go-micro.dev
Tutorials & Learning
YouTube returned 6 videos for “Go Micro”, and we withheld 6: 6 could not be judged, because “Go Micro” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Go Micro.
Official links
Tools that pair well with Go Micro
Common stack mates teams adopt alongside Go Micro, with the specific reason each pairing earns its keep.
MetaGPT
Open-source multi-agent framework that assigns PM, architect, engineer and QA roles to LLMs for structured software tasks
CopilotKit
Open-source React framework for agent chat, generative UI, and shared state on any AG-UI backend.
Mastra
Mastra is an open-source TypeScript agent framework for durable agents, typed workflows, and built-in evals.
Featured Head-to-Head Comparisons
Go Micro vs Spider Cloud
Choose Go Micro if you're a Go developer building a complete agent system with durable workflows and cross-framework interop; it's free and open-source, but Go-only. Choose Spider Cloud if you need a fast, reliable web data extraction layer for any AI agent or RAG pipeline, regardless of language; its freemium model and Rust engine make it cost-effective and easy to integrate. They can even complement each other: use Spider Cloud to feed web data into a Go Micro agent.
Go Micro vs Presto Voice
Presto Voice and Go Micro serve completely different markets. Presto Voice is a turnkey voice AI solution for QSR drive-thrus focused on revenue lift, while Go Micro is an open-source Go framework for developers building custom agent systems. Choose Presto if you operate a drive-thru chain and want a plug-and-play upsell engine; choose Go Micro if you're a Go developer needing a production-grade agent harness.
Go Micro vs Temporal Ai
For Go teams needing a lightweight, integrated agent harness with MCP/A2A protocols and autonomous loops, Go Micro is a compelling free choice. If your stack spans multiple languages, requires managed cloud, or demands battle-tested durability for complex workflows, Temporal AI’s broader ecosystem and enterprise features justify the freemium model. Pick Go Micro if you’re Go-only and want close-to-the-metal control; pick Temporal if you need polyglot support and production-grade fault tolerance.
Alternatives to Go Micro
View allMetaGPT
Open-source multi-agent framework that assigns PM, architect, engineer and QA roles to LLMs for structured software tasks
CopilotKit
Open-source React framework for agent chat, generative UI, and shared state on any AG-UI backend.
Frequently Asked Questions
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