What is Agent Memory?
The ability of an agent or LLM to store, recall, and leverage past interactions or information during task execution.
More about Agent Memory:
Agent Memory refers to the persistent or session-based storage of facts, context, or past interactions by an agent or LLM. This memory enables better context retention, personalized responses, and coherent multi-turn dialogue.
Agent memory is foundational for context injection, advanced agentic workflows, and applications like virtual assistants or customer service bots.
Frequently Asked Questions
How do AI systems implement agent memory?
Techniques include context windows, persistent knowledge bases, and session history tracking.
What are the benefits of agent memory?
It supports continuity, personalization, and context-aware reasoning across complex workflows.
From the blog
Using AI to make learning personal and increase your online course sales
Incorporating AI into your courses allows you to create a personalized learning environment that adapts to each student's needs. This personal touch doesn't just improve the learning experience; it also makes your courses more attractive and can increase sales. Let's explore how AI can make online courses more personal and commercially successful.
Herman Schutte
Founder
Revolutionizing University Engagement with AI Chatbots: A Look at SiteSpeakAI
Explore how universities are leveraging AI chatbots to enhance student engagement and streamline administrative tasks. Discover SiteSpeakAI, a tool that trains chatbots on website content to answer visitor queries.
Herman Schutte
Founder