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Agentfield

Agentfield

Agentfield is an open-source control plane revolutionizing how you deploy AI agents. Unify Kubernetes-style agent execution with Zero-Trust Identity, ensuring secure, verifiable microservices and complete audit trails for your distributed 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
  • Integration Tax
  • Every Agent Has Cryptographic Identity

Best for

Best for

  • Developers
  • Startups
  • AI/ML Teams

Not ideal for

  • Large Enterprise Teams (complex governance)
  • Non-Technical Users (requires development expertise)
Developer Tools Artificial Intelligence Open Source Launched 9 months ago

Gallery

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Frequently asked questions

Agentfield is an open-source control plane designed to manage and deploy AI agents as distributed microservices. It provides a secure and scalable backend for your agent-based applications.
Agentfield unifies Kubernetes-style agent execution with a Zero-Trust Identity layer. This allows you to deploy agents securely, track their activity, and enforce trust at every step.
Agentfield offers features like built-in IAM, cryptographic identity, audit trails, and Kubernetes integration, enabling secure and scalable agent deployment.
Yes, Agentfield is an open-source project, allowing for community contributions and customization to fit your specific needs. You can find the source code on GitHub.
Agentfield utilizes cryptographic identity and authorization policies to ensure that only authorized agents can access resources. It also provides verifiable audit trails for all agent activity.
Cryptographic identity in Agentfield provides a secure and verifiable way to authenticate and authorize agents, preventing unauthorized access and ensuring data integrity.

Made by

Santosh Radha S

Santosh Radha

maker

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