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Decision brief
Agency is a Go-idiomatic library aimed at developers looking to work with Large Language Models and generative AI techniques.
Good fit when
- If you're proficient in Go and want to implement LLMs within a familiar ecosystem, consider agency.
- Use when your project demands idiomatic Go code for implementing AI agents and exploring language models.
Avoid when
- Avoid agency if your primary programming expertise lies outside of the Go ecosystem.
- Not recommended if you require real-time performance characteristics that surpass what typical LLM exploration libraries can provide.
- Pricing:
- freemium - Agency is available under MIT license and is free for use, modification, and distribution. Additional services or integrations might involve costs not outlined within the repository.
Observed Jul 15, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (589d since push)
- As of today
- Provenance
- Not a fork · Organization account
- As of today
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
go get github.com/neurocult/agencyHow it fits your stack(13)
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A Go-idiomatic library to explore LLMs and generative AI capabilities through effective and clean code design.
Capability facts
- Languages
- go
Source: github.language · Aug 21, 2026
Categories
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README
💻 Quick Start
Install package:
go get github.com/neurocult/agency
Chat example:
package main
import (
"bufio"
"context"
"fmt"
"os"
_ "github.com/joho/godotenv/autoload"
"github.com/neurocult/agency"
"github.com/neurocult/agency/providers/openai"
)
func main() {
assistant := openai.
New(openai.Params{Key: os.Getenv("OPENAI_API_KEY")}).
TextToText(openai.TextToTextParams{Model: "gpt-4o-mini"}).
SetPrompt("You are helpful assistant.")
messages := []agency.Message{}
reader := bufio.NewReader(os.Stdin)
ctx := context.Background()
for {
fmt.Print("User: ")
text, err := reader.ReadString('\n')
if err != nil {
panic(err)
}
input := agency.NewTextMessage(agency.UserRole, text)
answer, err := assistant.SetMessages(messages).Execute(ctx, input)
if err != nil {
panic(err)
}
fmt.Println("Assistant:", string(answer.Content()))
messages = append(messages, input, answer)
}
}
That's it!
See examples to find out more complex usecases including RAGs and multimodal operations.
For agents
This page has a .md twin and JSON over the API.