ALPHA RELEASE (v0.1) — Aixgo is in active development. Not all features are complete. Production release planned for late 2025. Learn more →

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.

Multi-Agent Orchestration v0.1

Coordinate specialized agents with built-in supervisor patterns. Go channels for local development. gRPC for distributed systems coming in v0.2.

Edge to Cloud, Seamlessly v0.1

Start local with the same 8MB binary that runs everywhere. Multi-region distributed mode planned for v0.2.

Observable by Default v0.1

OpenTelemetry foundation built-in. Basic structured logging available. Complete distributed tracing and Langfuse integration coming in v0.2.

LLM Provider Freedom v0.1

OpenAI, Anthropic, xAI available now. Google Vertex AI and HuggingFace planned for Q1-Q2 2026. Switch providers with config changes.

Type-Safe Agent Contracts

Strongly typed interfaces enforced by the compiler. Refactor across 100 agents with confidence. Breaking changes caught at build time.

80-95% Lower Infra Costs

8MB binaries, <100ms cold starts, predictable memory usage. Run on 3 nodes instead of 10. No serverless warm pools, no over-provisioning, no surprise bills.

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)
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 →