AGNTCon + MCPCon Europe 2026

Building multi-agent systems for production remains challenging, not only due to integration complexity, but because validating that systems behave as intended is still largely unsystematic. Teams hand-wire LLMs, tools, and memory, add observability late, and lack clear ways to ensure agent interactions remain reliable and aligned as systems evolve.

This session introduces MAS-Lab, an open, spec-driven framework that makes agent systems composable and verifiable. It extends the integration discipline of protocols like MCP and A2A to all components -- models, tools, memory, messaging, governance, and observability -- through declarative specifications. The result is systematic integration, built-in observability, and reusable best practices.

During the session, we demonstrate a multi-agent trip planner and show how a single spec enables teams to compose agents, apply governance controls such as budgets and guardrails without modifying logic, and validate behavior by exploring alternative designs through reproducible experiments.

Attendees will leave with practical patterns to ensure agent systems behave predictably, remain aligned with intent, and can be trusted in production.