Agentfield

Introduction to Agentfield

Agentfield is an open-source control plane for building and scaling AI agents as microservices. It provides a Kubernetes-style execution and scaling fabric combined with an in-built Zero-Trust Identity and Auth Layer. This makes it the complete backend system for deploying agents as distributed microservices while enforcing trust at every step through cryptographic identity, authorization policies, and verifiable audit trails.

The platform simplifies the development of autonomous software by abstracting away the complexity of infrastructure, allowing developers to focus on writing code that runs as APIs. Every agent has its own endpoints, schemas, and versioning without requiring glue code or routing setup. Agentfield ensures every action is cryptographically signed and auditable, providing a secure and compliant environment for deploying AI agents.

Takeaways

• Open-source control plane for production-grade autonomous software
• Kubernetes-style execution and scaling fabric
• Built-in Zero-Trust Identity and Auth Layer
• Cryptographic identity for every agent
• Tamper-proof audit trails for compliance
• Supports multi-hour autonomous workflows
• Secure inter-agent communication
• Zero-config deployment and coordination
• Live progress tracking via Server-Sent Events (SSE)
• Guided AI autonomy with structured guardrails

How Agentfield Works

Agentfield operates by enabling developers to write functions that become APIs, with each function running as an independent agent. These agents can be deployed independently, scale automatically, and communicate securely with one another using built-in mechanisms like context propagation, shared memory, and event-driven coordination.

Every agent is assigned a cryptographic identity (DID) at registration, and every action generates a tamper-proof Verifiable Credential (VC). The control plane manages service discovery, load balancing, and workflow orchestration automatically, eliminating the need for manual configuration. Developers can use SDKs for Python, TypeScript, and Go to build and manage their agents.

Core Benefits and Applications

Agentfield is ideal for applications such as document processing, batch analysis, complex orchestrations, and AI-powered decision-making systems where trust, security, and scalability are critical.