Building Smart Agents: LangGraph + Perplexity with Memory for Developers

Author(s): Sai Bhargav Rallapalli

Originally published on Towards AI.

A Hands-On Guide to Creating Intelligent AI Agents with Persistent Memory using LangGraph and Perplexity AI.

Hey fellow developers and AI enthusiasts! Have you heard the buzz? Perplexity AI is offering Pro membership to all Airtel users in India! This is a fantastic opportunity, and it’s sparking a wave of innovation, especially around building intelligent agents. Today, I’m going to walk you through creating your very own Perplexity-powered AI agent using LangGraph, complete with conversational memory.

The article discusses the process of building intelligent AI agents using Perplexity AI and LangGraph, emphasizing the importance of persistent memory for creating fluid conversations. It covers steps including project setup, crafting the agent’s logic with Python, exposing the agent through a REST API, and testing the agent’s capability to maintain context across interactions, effectively demonstrating how AI can remember previous user engagements while enhancing functionality and usability.

Read the full blog for free on Medium.

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Published via Towards AI