Build a Team of AI Agents with Shared Memory
What this webinar is about?
What would you delegate if a team of AI agents already knew your projects, understood its responsibilities, and could pick up where another agent left off?
In this practical webinar, we’ll unpack a real workflow built around a team of Grok Bots. Each bot has a job, they use shared memory to stay up to date, track work on a common task board, and bring decisions to you before taking important actions.
You’ll see how the pieces work together through a real example: an agent reads the context for its task, does the work, saves what it learned, and passes anything that needs sign-off to a human. We’ll also show how that memory can be available across connected AI tools, so useful context isn’t trapped in one bot or chat.
What you’ll learn?
What Grok Bots can do and how to give different bots clear roles
How to build an agent team around the work you actually do
How shared memory helps agents stay current across tasks and AI tools
How to track their work and set up a human approval step
Where this workflow can save time on repeatable project work
We’ll use Grok Bot for the agents, if you haven't used it, you are also welcome, this is a great opportunity to learn about it, we welcome curious people. We’ll also show how connected tools such as ChatGPT or Claude can use the same context. No coding is required to follow the workflow.
Who should join?
Come if you’re curious about how AI agents work and want a concrete example beyond a single chatbot. This session is especially useful for people who use multiple AI tools, manage several projects, want to automate repeatable work, or are ready to build an AI team that can support their day-to-day work while they focus on strategy and decisions.
What you’ll leave with
By the end, you’ll understand Grok Bot’s capabilities and have a practical starting point for using a bot on one of your own projects. You’ll know how to assign roles, connect agents through shared memory, and build toward a team that works together across your AI tools.
Speaker
Hira Siddiqui is the founder of Berlin-based Plurality Network. She works on shared context for AI tools and agents, and shares practical use cases for making AI workflows useful in everyday work.