Go
Why Go for AI agents
When we started building agent infrastructure at Aktagon, we evaluated several languages. The decision came down to what matters most in production: reliability, observability, and deployment simplicity.
Concurrency without complexity
Go’s goroutines and channels map naturally to agent workflows. Each agent step runs as a goroutine. Communication between steps uses typed channels. No thread pools to tune, no async/await coloring, no callback hell.
func (a *Agent) Run(ctx context.Context, task Task) (Result, error) {
results := make(chan StepResult, len(a.steps))
for _, step := range a.steps {
go step.Execute(ctx, task, results)
}
return a.collect(ctx, results)
}
Single binary deployment
go build produces a single static binary. No runtime, no dependencies, no container layers beyond scratch. This matters when deploying to edge locations or air-gapped healthcare environments.