OSS + ELC EU 2026

AI agents are evolving from simple chatbots to coordinated systems that plan, collaborate, and execute real-world tasks. But moving from a working prototype to a production-grade multi-agent system is where most teams struggle.

In this session, we will share battle-tested patterns from deploying agent swarms in industrial environments. We cover:
The architectural shift from single-agent to multi-agent: when and why you need a swarm
Comparing open source frameworks (LangChain, AutoGen, Strands Agents SDK) — strengths, trade-offs, and selection criteria
Practical orchestration patterns: task delegation, shared memory, tool coordination via MCP (Model Context Protocol)
Live demo: building a multi-agent system that collaborates to solve a real task
Safety-first design: guardrails, execution boundaries, and observability for production
Attendees will leave with a reusable architectural blueprint applicable to any open source agent framework.