Building Autonomous AI Agents with Long-Term Memory

About the event

Hands-on session with Saksham Arora (Software Engineer II, Intuit) in collaboration with mem0

What if your AI agent could remember past conversations, adapt over time, and make smarter decisions autonomously?

In this hands-on session, you’ll learn how to build autonomous AI agents with long-term memory - enabling them to retain context, improve interactions, and handle complex workflows more effectively. In collaboration with mem0, this session will explore practical approaches to memory-powered AI systems and real-world agent architectures. Whether you're building AI copilots, assistants, or workflow automations, this session will help you move beyond simple prompt-response systems.

You’ll explore:

How autonomous AI agents work and where long-term memory fits in
Techniques to store, retrieve, and manage contextual memory for smarter agent behavior
Live build: creating an AI agent with persistent memory and real-time interactions
Best practices for designing scalable and reliable agent workflows using modern AI tooling

🧠 Plus, a live Q&A with Saksham to help you apply these concepts to your own AI projects and experiments.

Perfect for developers and builders looking to create more intelligent, context-aware AI applications.

Who should join

Build AI-powered applications that can retain context and improve over time

Explore practical workflows for creating autonomous agents with memory capabilities

Experiment with real-world AI agent architectures through hands-on implementation

Key takeaways

Learn how to design autonomous AI agents with long-term memory systems

Build an AI agent that can store, retrieve, and use contextual information effectively

Apply best practices for creating scalable, reliable, and interactive agent workflows

Unlock bonus resources on attending the session!

Get access to handpicked resources and reads that will take your expertise to the next level.

Speaker for the session

Saksham Arora

Software Engineer II @ Intuit

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