AgentField is an open-source Go-based control plane that runs AI agents as scalable, production-ready services. It exposes agent logic over REST endpoints, supports multi-agent fan-out, and provides memory, async execution, and observability features.
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What it is
AgentField is an open-source control plane that lets you build AI agents callable by any service in your stack, supporting Python, Go, or TypeScript agent logic. It turns agent code into production infrastructure with routing, coordination, memory, async execution, and observability. Every function becomes a REST endpoint, and a single agent can scale from one instance to thousands within a workflow.
How it works
The system provides a centralized control plane (stateless Go service) and a durable PostgreSQL queue to manage fan-out, retries, and tracing. When a request fans out to multiple branches, the control plane orchestrates execution, with cross-agent calls routed through the mesh and execution traces produced. Memory scopes, cross-agent calls, and audit trails are supported components.
Getting started
Installation and usage materials are in the README and linked docs. The README shows an installation command:
curl -fsSL https://agentfield.ai/install.sh | bash
It also demonstrates how to build and run agents via code and examples, including REST endpoints exposed by app.run() and how to trigger agent behavior through REST calls and SDKs. See the provided Python, Go, and TypeScript examples and deployment guides for Docker Compose, Kubernetes, and production setups.
Recent releases
Latest release is v0.1.122 (2026-08-05):
## AgentField 0.1.122
### Installation
```bash
curl -fsSL https://agentfield.ai/install.sh | bash
Version Pinning
VERSION=v0.1.122 curl -fsSL https://agentfield.ai/install.sh | b
There are prior rc and patch releases noted in the releases section with staging warnings and similar installation commands.
## Traction
The repository has 2475 stars, 394 forks, and 77 open issues. It is written in Go and licensed under Apache-2.0. It was created on 2025-11-05 and last pushed on 2026-08-04.
## Behind the repo
Not applicable here since there is no linked startup/company section in the provided facts.
## Caveats
License is Apache-2.0. Age is indicated by created date 2025-11-05. There are multiple staging/pre-release notes in older releases (rc versions) in the release notes. The latest release details include a standard installation flow via installer script.