Build, run and scale AI agents like API and microservices
AgentField is an open-source control plane that turns AI-agent code into callable APIs and coordinates its execution across workflows. Developers use it to route, queue, retry, trace, and scale agents written in Python, Go, or TypeScript, from individual agents to large fan-outs. Catalogue add-ons support working with AgentField and its agent-building workflow.
This repository also configures its own agents. See what agentfield tells them →
Skill Claude CodeCodex
Build and install a personal AI agent on this machine's AgentField: real source in /agentfield-agents, packaged with agentfield-package.yaml, installed with af install, started with af run, registered on the local control plane, and visible in AgentField Desktop with a keys form and an auto-start toggle. Use when the…
Skill Claude CodeCodex
Whenever you have a discrete task to perform — one the user delegated, or one that arose inside your own work — check FIRST whether an installed AgentField agent covers it, and offload to it by default when one does. Coverage, not task size, is the test: even a small job goes to a covering agent. The check is cheap …
Skill Claude CodeCodex
Design and ship a multi-agent system on AgentField. Use when the user asks to build, scaffold, design, or run an agent, reasoner network, multi-agent backend, or 'an agent that does X' — whenever the work would otherwise be a single LLM call or a flat LangChain/CrewAI/AutoGen chain. The skill produces composite…