Add AgentField - Infrastructure for AI backends

[santoshkumarradha]

Adding AgentField to the Data Processing and Machine Learning section.

What is AgentField?
Open-source infrastructure for AI backends—the control plane that does for AI agents what Kubernetes did for containers.

The thesis: just as web applications evolved from monoliths to microservices, AI systems need the same architectural progression. Agent nodes function as microservices for AI reasoning, connected through a shared control plane.

Key features:

• Kubernetes-style orchestration: service discovery, routing, health probes
• Async-first execution for workflows running minutes to hours
• Built-in memory fabric with vector search
• Cryptographic identity (W3C DIDs/VCs) for audit trails

Why it fits this section:
Extends Kubernetes patterns to AI agent orchestration—complementing ML training platforms by providing runtime infrastructure for autonomous agent workloads.

GitHub: https://github.com/Agent-Field/agentfield
License: MIT