Agentic AI is changing how developers and startups build intelligent systems—especially in edge environments where low-latency, real-world data is critical. However, deploying and scaling agent-based applications on distributed edge infrastructure remains a challenge for many early-stage teams.

This session introduces k0rdent, an open-source extension to Kubernetes that simplifies the deployment of agentic AI workloads at the edge. We'll walk through the basics of Kubernetes-based infrastructure for agent frameworks like LangChain, Autogen, and Semantic Kernel, and show how k0rdent bridges the gap between developer-friendly agent workflows and real-world edge deployments.

Attendees will see how to:

Set up an edge-native cluster with GPU support in minutes.

Run agent-based AI inference tasks (e.g., computer vision, chat interfaces) on these clusters.

Connect edge workloads to real-time event streams (like NATS or MQTT) for fast feedback loops.

Automate lifecycle management—crucial for startups with small DevOps teams.

We'll wrap up with tips and best practices for early-stage teams building their first agent-driven edge workflows, including safety and testing basics for AI deployments.

Whether you're prototyping your first agent or looking to scale to production, join us to explore how k0rdent can help you go from idea to edge-native deployment faster.

Outline Aligned with Topics of Interest
1. Getting Started with Agentic AI and the Edge

Define agentic AI for edge scenarios.

Challenges of real-world deployment (latency, data sovereignty, updates).

2. Intro to Agent Frameworks and k0rdent

Brief overview of frameworks (LangChain, Semantic Kernel, Autogen).

How k0rdent simplifies running these frameworks on edge clusters.

Basic cluster creation workflow (developer-friendly).

3. Real-World Applications

Show real examples (e.g., computer vision agents, autonomous retail agents) - with demo of a production application

How edge GPU acceleration helps agentic tasks.

4. Human-Agent Interfaces & Experience Design

Practical UX considerations for edge agents (e.g., low-latency feedback).

How to connect with frontend/mobile/web experiences.

5. Responsible AI and Testing Basics

How to test, update, and monitor edge AI agents safely.

Basics of versioning, rollback, and resource management with k0rdent.

6. Developer Experience and Best Practices

Early learnings from deploying edge-native agents.

Tips for small teams: avoid over-engineering, automate updates.

7. Live Demo or Visual Walkthrough

Show the agent deployment workflow on k0rdent.

Highlight NATS data flows for real-time agent feedback.