AI-agent infrastructure [ukr]

This session explores the evolution from simple LLM chains to robust cognitive architectures, focusing on deploying stateful agents within your own perimeter (On-Premise). We will compare modern orchestration frameworks, contrasting Google ADK (Agent Development Kit) for structured, model-agnostic agent design against LangGraph for granular state control and CrewAI for multi-agent role-playing. A key focus will be the Model Context Protocol (MCP) — the new standard for connecting agents to internal data and tools without vendor lock-in. We will demonstrate how to build a flexible runtime using Vercel AI SDK Core (deployed in Docker) to serve these agents, ensuring full independence from cloud providers. Finally, we will cover the AgentOps stack, detailing how to implement self-hosted observability (via Langfuse) and access policies to safely manage autonomous systems in production.