AI Agents at work

Welcome!

​Are you tired of expensive proprietary cloud services in the AI ecosystem? Do you want to build your AI agent locally on your laptop in minutes using clean Python SDK, with LLM of your choice and delightful UI out of the box?

​Or maybe you just want to learn how we unlock a new era of software tools by deploying a helm chart into kubernetes cluster running inside a virtual machine on your laptop and all this is running seamlessly with virtually zero difference from production environment?

​If you answered yes to any of these questions, don’t miss our talk! We’ll show you more than just creating agents with the BeeAI platform.

Thanks to MCP and all the MCP server directories, agents can now autonomously discover new tools and other agents. This lays down the foundation for the future agentic economy, where businesses will sell to autonomous agents (B2A) and eventually agents will sell to other agents (A2A). However, one key part is still missing: agents currently lack a standard mechanism to subscribe to and pay for external services. In this talk, we’ll walk you through the newly proposed agentic payment protocols, such as X402 or L402. We’ll also demonstrate how to give agents full autonomy to discover and pay for new external MCP-enabled services and automatically pay for them.

​A live product showcase to see how we build a powerful AI agent in under 15 minutes. We'll show you how to leverage Make.com's platform to create and connect an AI agent to thousands of apps, automating complex workflows with ease. We'll also pull back the curtain on the agent's core building blocks, including RAG, output parsers, and effective thread management.

Let's chat!