The Future of AI Agents is Go

Build and test AI systems as single binaries. Alpha release - production features coming late 2025.

Try Alpha Version →

From Prototype to Planet-Scale in 60 Seconds

1. Install

go get github.com/aixgo-dev/aixgo

2. Create config/agents.yaml

supervisor:
  name: coordinator
  model: grok-beta
  max_rounds: 10

agents:
  - name: data-producer
    role: producer
    interval: 1s
    outputs:
      - target: analyzer

  - name: analyzer
    role: react
    model: grok-beta
    prompt: |
      You are a data analyst. Analyze incoming data and provide insights.
    inputs:
      - source: data-producer
    outputs:
      - target: logger

  - name: logger
    role: logger
    inputs:
      - source: analyzer

3. Create main.go

package main

import (
    "github.com/aixgo-dev/aixgo"
    _ "github.com/aixgo-dev/aixgo/agents"
)

func main() {
    if err := aixgo.Run("config/agents.yaml"); err != nil {
        panic(err)
    }
}

4. Deploy anywhere

# Local development
go run main.go

# Production - single 8MB binary
go build -o agent
./agent

# Edge, Lambda, Cloud Run, Kubernetes - one binary, zero configuration

Why the Industry is Moving to Go

Python dominated AI because it was easy to prototype. Go will dominate production because it's built to ship.

Container Size

Python frameworks

1.2GB with dependencies

Aixgo

8MB single binary

Impact:

Deploy to edge devices, serverless, anywhere

Startup Performance

Python frameworks

30-45s cold start

Aixgo

<100ms instant startup

Impact:

True serverless viability, real-time response

Runtime Safety

Python frameworks

Runtime - Discover errors in production

Aixgo

Compile-time - Compiler catches errors before deploy

Impact:

Ship with confidence, sleep at night

LLM Data Validation

Python frameworks

Runtime only - Type changes found in production

Aixgo

Compile-time - Type changes caught before deploy, auto-retry

Impact:

Refactor with confidence, LLM errors auto-recover

The Go Advantage

What Matters in ProductionPython FrameworksAixgo
Deploy Anywhere1GB+ containers, complex deps8MB binary, zero deps
Cold Start Speed10-45 seconds<100ms
Type SafetyRuntime discoveryCompile-time guarantees
ConcurrencyGIL bottleneckNative parallelism
Scaling PatternRewrite for distributionSame code, local → distributed
Operational CostHigh compute overhead60-70% infrastructure savings

Built for What's Next

Aixgo isn't just another framework. It's the foundation for the next generation of AI systems.

13 Orchestration Patterns

All patterns production-ready: Supervisor, Sequential, Parallel, Router, Swarm, RAG, Reflection, Ensemble, and more. Go channels locally, gRPC for distributed.

8+ LLM Providers

OpenAI, Anthropic, Google Gemini, xAI, Vertex AI, HuggingFace, Ollama, and vLLM. Switch providers with a config change. Auto-detection by model name.

Full Observability Stack

OpenTelemetry tracing, Langfuse integration, Prometheus metrics, automatic cost tracking. Kubernetes health probes included.

Enterprise Security

4 auth modes, RBAC, SSRF protection, prompt injection defense, SIEM integration. Rate limiting and audit logging built-in.

Type-Safe Validation

Pydantic AI-style validation with automatic retry. 40-70% improvement in structured output reliability. Compile-time type checking.

60-70% Lower Infra Costs

8MB binaries, <100ms cold starts, ~50MB memory. Router pattern saves 25-50% on LLM costs. Local inference with Ollama for zero API costs.

What We're Building

Alpha Release - ✅
November 2025
  • ✅ 6 LLM providers (OpenAI, Anthropic, Gemini, xAI, Vertex AI, HuggingFace)
  • ✅ 7 agent types + 6 orchestration patterns
  • ✅ Full observability (OpenTelemetry, Langfuse, Prometheus, Distributed Tracing)
  • ✅ Complete security suite (Auth, RBAC, Rate Limiting, Injection Protection)
  • ✅ Docker, Cloud Run deployment
  • ✅ Kubernetes deployment (partial - manifests and RBAC)
v0.2.x Enhancements - ✅
December 2025 - January 2026
  • ✅ Phased agent startup with dependency ordering (v0.2.3+)
  • ✅ Public agent package for library-style integration
  • ✅ VertexAI SDK migration with production hardening
  • ✅ Enhanced streaming reliability and resource management
  • ✅ SSRF protection for Ollama integration
  • ✅ Topological sort for eliminating startup race conditions
Beta Release
Q4 2025
  • 📋 Kubernetes deployment (complete - operator and automation)
  • 📋 Secrets management and rotation
  • 📋 Long-term memory and personalization
  • 📋 Multi-modal support (Vision, Audio, Document Parsing)
  • 📋 Additional vector database providers (Qdrant, pgvector)
v1.0 Production
Q1 2026
  • 📋 API stability guarantees and backward compatibility
  • 📋 Kubernetes operator for automated lifecycle management
  • 📋 Multi-region deployment with state replication
  • 📋 Infrastructure as Code (Terraform modules)

Join the Alpha

The AI infrastructure built on Python is reaching its limits. Aixgo is what comes next. Join us in building it.

Try Alpha Version →