What is Agentfield?
Infrastructure for autonomous software.
What is Agentfield?
Infrastructure for autonomous software that treats intelligent agents like microservices
When AI becomes part of your software stack, you need a control plane that treats intelligent agents like microservices-distributed, observable, and governable. Traditional frameworks work for prototypes. They break in production.
Traditional Agent Frameworks
Monolithic Agent App
- •Durable Queues (DIY)
- •Async Execution (DIY)
- •API Gateway Wrapper (DIY)
- •State Management (DIY)
- •Observability (DIY)
- •Auth & Identity (DIY)
You have to build and maintain the entire infrastructure stack
Agentfield
Control Plane
Agent Nodes
Deploy independently
Share memory automatically
Kubernetes-like orchestration
The Challenge: The Scale & Trust Chasms
A prototype is a single file. A production system requires a complex stack of auxiliary tech, durable queues, async execution, backpressure, and webhooks. This is The Scale Chasm.
Furthermore, autonomous agents act as "digital proxies" for your business. Traditional identity (like OAuth) fails for these dynamic actors. You are left with no identity, no auth policies, and no proof of what they did. This is The Trust Chasm.
The Control Plane for Scale & Trust
Agents as Microservices
Turn any agent into a production-grade microservice. We provide auto-generated OpenAPI specs, a unified API gateway, and language-agnostic connectivity.
Built-in Identity, Trust & Audit
This is "Auth0 for AI." Every agent gets a cryptographic identity (DID). Every action is signed, creating a tamper-proof audit trail (VC) you can prove to anyone.
Deploy Independently, Coordinate Centrally
Teams deploy agents on their own timelines. The control plane handles discovery, routing, and a zero-config shared memory fabric so agents coordinate automatically without monolithic coupling.
Production Infrastructure, Built-In
Get the complete production infrastructure you were dreading building: durable queues, async execution with no timeout limits (hours/days), webhooks, built-in load balancing (spin up multiple instances, requests auto-distribute), and health checks. Docker/K8s ready.
Think of It This Way
Traditional agent frameworks are like Flask, excellent for building a single prototype or app, but not designed for large-scale, distributed, production systems.
Agentfield is like Kubernetes + FastAPI—infrastructure for building distributed autonomous software.
You write agents as typed Python functions. Agentfield handles orchestration, memory, identity, and observability.
Built for Production, Not Just Prototypes
Agentfield is designed for any developer, team, or enterprise hitting the prototype-to-production gap. You need infrastructure if:
- You need to scale beyond a single, monolithic script.
- You need agent identity/auth for autonomous actors.
- You need cryptographic proof of what your agents decided.
- You need to integrate with existing backends, frontends, and APIs.
- You need real-time observability, health checks, and metrics.
If you're building a simple prototype, traditional frameworks work fine. If you're building real autonomous software, you need infrastructure.
Get Started in 5 Minutes
Build Your First Agent
Follow our quick start guide to create and deploy your first Agentfield agent in minutes.
Why Agentfield vs Frameworks
Understand how Agentfield differs from traditional agent frameworks and when to use each.
Works on macOS, Linux • Docker/Kubernetes ready • Open source, Apache 2.0