
Deploy Agentfield Control Plane
Kubernetes-style orchestration for multi-agent AI systems with IAM
control-plane
Just deployed
example node
Just deployed
Postgres
Just deployed
/var/lib/postgresql/data
Deploy and Host AgentField Control Plane on Railway
AgentField is a Kubernetes-style control plane for AI agents. It provides production infrastructure for deploying, orchestrating, and observing multi-agent systems with cryptographic identity, workflow tracking, and audit trails—without the complexity of managing Kubernetes.
About Hosting AgentField Control Plane
Hosting AgentField requires a PostgreSQL database for persistent storage and a server process running the Go-based control plane binary. The control plane exposes REST/gRPC APIs for agent registration, workflow execution, and memory management. A built-in web UI provides real-time monitoring of agent status, workflow DAGs, and execution traces. Agents connect via HTTP and communicate through the control plane—never directly—enabling centralized observability and routing.
Common Use Cases
- Orchestrating multi-agent AI workflows with automatic execution tracking
- Building production agent systems with persistent memory and session management
- Auditing AI agent actions with W3C Verifiable Credentials and cryptographic identity
Dependencies for AgentField Control Plane Hosting
- PostgreSQL 15+
- Go 1.23+ runtime (included in Docker image)
Deployment Dependencies
Why Deploy AgentField Control Plane on Railway?
Railway is a singular platform to deploy your infrastructure stack. Railway will host your infrastructure so you don't have to deal with configuration, while allowing you to vertically and horizontally scale it.
By deploying AgentField Control Plane on Railway, you are one step closer to supporting a complete full-stack application with minimal burden. Host your servers, databases, AI agents, and more on Railway.
Template Content
control-plane
agentfield/control-plane:latestexample node
Agent-Field/agentfieldPostgres
pgvector/pgvector:pg17
