2026-03-05 –, RoboCon Online
The field of automation is constantly evolving. Currently there is a common misconception that LLMs and AI agents are only useful in the vibecoding trend. That trend has captured the attention of the tech industry since the start of 2025 and has sparked a lot of discussions on several social media platforms. Also there are at least 60+ agent projects and 4000+ MCP projects tracked in pulse.com today. My talk will demonstrate how combining Robot Framework's ecosystem with locally running AI Agents and LLMs can lead to a powerful combination.
This presentation will give a high-level walkthrough and demonstration of how Robot Framework RPA can combine with local AI Agents, MCP, and various LLM types to enhance their capabilities. This talk will discuss the following main topics below.
- Brief introduction to the open source AI Agent, LLM, and MCP ecosystem landscape.
- Overview of Codename Goose (https://block.github.io/goose/), an open source AI Agent framework project developed by Block (Jack Dorsey's company).
- Talk about how Ollama (https://ollama.com/) can be used to setup a locally running private LLM instance on your own hardware.
- Walkthrough/demonstration of the basic design of using Robot Framework RPA to automate sequential tasks with Codename Goose on a local LLM that can run on anyone's hardware.
- Talk about the Codename Goose Docker container and give an overview of situations where some models are too big and demanding for anyone's personal hardware.
- Walkthrough of the basic design and building-blocks of using Robot Framework RPA to automate parallel tasks with parallel running Codename Goose Docker containers connected a cloud AI product such as Google Gemini.
This is the public GitHub repo containing all of the automation demonstrations mentioned above.
https://github.com/jg8481/Robot-Framework-AI-Agent-Datadriver
LLM, AI Agent, Decentralized AI, Private AI, Secure AI
Is this suitable for ..?: Beginner RF User, Intermediate RF User, Advanced RF User
Joshua Gorospe is a Staff Test Engineer at webAI with roughly 20 years experience in the tech industry helping fellow testers craft test strategies for various companies and products. Very interested in Web3, blockchain, AI agents, model based testing, James Bach's Rapid Software Testing methodology, and combining them with Robot Framework RPA.
Fun fact, he was combining Robot Framework with conversational AI chatbots years before ChatGPT became famous. Joshua uses that experience to create and maintain Robot Framework community projects in GitHub, do Robot Framework presentations or workshops at conferences, writing Robot Framework articles on medium.com, and continue writing his book.