Agentfield

Agentfield is an open-source control plane that empowers you to deploy AI agents as distributed microservices with robust security. Unify Kubernetes-style agent execution with Zero-Trust Identity, ensuring cryptographic identity, audit trails, and verifiable provenance for your applications.

Key Features

Kubernetes for AI Agents
Built-in IAM and Audit
Agent Cryptographic Identity & Audit Trails
Verifiable Provenance
Identity and Infrastructure, Solved
Teams Deploy Independently
Deploy Like Real Software
Write Code, Get Infrastructure

Best For

✓ Best For

• Developers
• Startups
• Independent Software Developers

⚠ Not Ideal For

• Large Enterprise Teams with Complex Legacy Systems
• Non-Technical Users Requiring Simple Deployment Solutions

Category: Developer Tools

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Tags: Artificial Intelligence , Open Source , Developer Tools

| Launched 1 month ago

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Frequently Asked Questions

Agentfield is an open-source control plane designed to manage and secure AI agents and microservices. It provides a unified platform for deployment, scaling, and governance of distributed applications.

Agentfield utilizes a Kubernetes-style agent execution fabric combined with a Zero-Trust Identity layer. This allows for granular control and security enforcement throughout the lifecycle of your agents.

Agentfield offers features like built-in IAM, cryptographic identity, audit trails, and verifiable provenance. It simplifies the deployment and management of distributed microservices.

Yes, Agentfield integrates seamlessly with existing Kubernetes clusters, extending its capabilities with Zero-Trust security and agent management features.

Cryptographic identity in Agentfield ensures that each agent is uniquely identified and authenticated, preventing unauthorized access and providing verifiable audit trails.

Agentfield's architecture utilizes cryptographic identity and authorization policies to protect data in transit and at rest, providing a secure environment for your applications.