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Go Micro

#43 agent frameworkunverified rowv6.14.0

Go agent harness and service framework where every service endpoint becomes an AI-callable tool

Key differences

Go agent harness and service framework where every service endpoint becomes an AI-callable tool

  • Runs local. Free and open source under Apache-2.0, with a documented no-API-key path for local use
  • Acts as an MCP server. Listed for 23 of 118 tools in this category.
  • Runs multiple agents. Listed for 97 of 118 tools in this category.

“Its tools can charge per call over a payment standard, so your agent is now capable of both spending and earning money without you.”

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What it is

Go Micro gives you the runtime around an agent as Go code: model, memory, tools, planning, delegation, guardrails and service discovery, reachable over MCP and A2A. Services you write turn into callable tools automatically, and durable flows handle the deterministic parts. Its micro run command can design a set of services from a prompt, compile and start them, and hand you an agent that talks to them, generating new services mid-conversation when a capability is missing.

Specification

Source verification

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overview
Needs individual review
protocols
Needs individual review
docs
Needs individual review

Architecture

Type
Agent framework
Runsunsourced
local
Platforms
macos, linux, windows
Context windowunsourced
not documented
Languages
Go

Models

Backboneunsourced
any
Bring your own model
Yes
Local models
No

Protocols

MCP clientsrc ↗
Yes
MCP server
Yes
OpenAPI tools
No

Capabilities

Terminal commandsunsourced
No
Multi-file edits
Yes
Git operations
No
Browser control
No
Sandboxed execution
No
Multi-agent
Yes
Headless / CI
No

Cost

Modelunsourced
byok
Starts at
n/a
Free tier
Yes
Bring your own key
Yes

Free and open source under Apache-2.0, with a documented no-API-key path for local use

Openness

Open sourceunsourced
Yes
License
Apache-2.0
First release
2015-01
gomcpa2aservices

Los Agentes on Go Micro

Who are they?
The ruling
El JuezThe judge

El Hacker and La Inversora are two points apart on the same repository: he is reading Go interfaces, she is reading one maintainer's consulting calendar.

Adopt with conditions
Reasoning and trade-offs · AI analysis

The split is two points and it is about the maintainer, not the code. El Hacker scores it highest because every abstraction is a Go interface and Ollama is a first-class provider. La Inversora scores lowest and prices the reason, a services business wearing a framework. El Crítico names the same thing as breadth per maintainer.

Neither objection is a reason to refuse. El Profesor wins: capability derived from the registry rather than declared is the design that outlives a maintainer's calendar, and La Inversora is overruled on adoption. Adopt with conditions, Go services only, as La Jefa requires, and deployed through your own pipeline.

Agree with El Juez?
El AmigoThe friend

Pick Go Micro if your services are Go and you want them callable by an agent without writing tool schemas; pick Microsoft Agent Framework if the shop is .NET or Python.

7.3
Reasoning and trade-offs · AI analysis

The idea here is neat and the trait that decides it is the absence of glue. You write ordinary Go services, and every endpoint becomes something an agent can call, so the tool layer you would normally hand-maintain simply does not exist. Describe a system at the prompt and it will scaffold, compile and start the services, then hand you an agent that talks to them.

Generated code lands as plain Go on disk and re-running preserves your edits, so it is a starting point rather than a black box. Pick it for Go backends. Pick Microsoft Agent Framework when your team lives elsewhere.

reliability
7
usefulness
7
cost
8
longevity
7
Agree with El Amigo?
El CríticoThe critic

A microservices framework from 2015 has been re-framed as an agent harness, and the resulting surface spans registry, broker, store, payments and agents under one maintainer.

6.8
Reasoning and trade-offs · AI analysis

The risk is breadth per maintainer. This project predates the category by a decade and now carries service discovery, RPC, pub/sub, a key-value store, a typed model layer, durable flows, an agent loop and a per-call payment standard. Commercial support is offered directly by the maintainer, which is honest and also tells you how many people are behind all of it.

Depend on the parts you can read. What it does right: the guardrails are concrete rather than aspirational, with a step ceiling, a repeated no-progress limit, and an approval hook for human sign-off before a tool runs.

reliability
6
usefulness
7
cost
8
longevity
6
Agree with El Crítico?
El ProfesorThe professor

Tool exposure is derived from the service registry rather than declared: endpoints become callable tools and agent cards are generated from the same source, so there is one description to drift from.

7.0
Reasoning and trade-offs · AI analysis
  1. Capability discovery is registry-derived. Endpoints registered by a service become callable tools automatically, and the cards published for other agents are generated from that same registry, so a single definition feeds both directions. 2. Deterministic work is separated into flows whose steps are checkpointed, so a crash resumes at the last completed step rather than at the beginning. 3. Memory is an interface with a durable store behind it by default.

Deriving the interface from the code rather than a parallel schema is the design decision that will still look correct in three years.

reliability
7
usefulness
7
cost
7
longevity
7
Agree with El Profesor?
La InversoraThe investor

The logos on the page are Anthropic and OpenAI, and the revenue is consulting and retainers sold by the maintainer, which is a services business wearing a framework.

6.0
Reasoning and trade-offs · AI analysis

An unusual capital structure for this board: sponsorship from two model labs and a cloud, plus paid support, consulting, training and retainers sold directly. The maintainer states outright that those engagements are what keep the project maintained. It is a services business, and services businesses are durable and do not compound.

The asset is a decade of Go developers who already know the name, which is real distribution and difficult to buy. There is nothing here to acquire except the person. Likely path: continued sponsorship while agents stay fashionable, then back to being a service framework. Position: adopt the library, plan for the maintainer's calendar.

reliability
6
usefulness
6
cost
6
longevity
6
Agree with La Inversora?
La JefaThe CTO

Deployment is one command over SSH onto systemd with no container, which is either a gift or a fight with the platform team, depending on the platform team.

6.5
Reasoning and trade-offs · AI analysis

Nothing to buy for sixty engineers, and it only helps the ones writing Go, which narrows the audience before we start. The deployment story is a single command that copies over SSH and runs under systemd with no container involved, which is admirably direct and the opposite of every standard we have written down since 2019.

There is no administrative console and no identity story, because it is a library. Support is genuinely purchasable, which is rarer than it sounds and would satisfy the question legal always asks. Approved with conditions: Go services only, and deploy it through our own pipeline.

reliability
6
usefulness
6
cost
8
longevity
6
Agree with La Jefa?
El HackerThe tinkerer

Apache-2.0, every abstraction is a Go interface, the store swaps between bbolt, Postgres and NATS, Ollama is a first-class provider, and tools can charge per call over x402.

8.0
Reasoning and trade-offs · AI analysis

Apache-2.0 and the whole thing is interfaces. Registry, broker, store and transport are all swappable, so persistence is a local bbolt file on my laptop and Postgres in production without touching the agent code. Nine providers are wired up, Ollama among them, so the loop runs against the model on my own machine with no key anywhere.

The strange one I like: tools can be metered per call through the x402 payment standard with a pluggable facilitator. I have no use for it yet and I appreciate that somebody built the plumbing before the demand.

reliability
8
usefulness
8
cost
9
longevity
7
Agree with El Hacker?