# Agent Memory

Agent memory refers to an AI Agent's ability to retain and recall information across time — both within a conversation (short-term memory) and across multiple interactions over days, weeks, or months (long-term memory). Short-term memory enables an agent to maintain context within a single conversation, avoiding the frustration of customers having to repeat themselves. Long-term memory allows agents to personalise interactions based on previous preferences, past issues, and customer history — creating a relationship rather than a transaction. NiCE Cognigy AI Agents support both memory types natively, enabling hyper-personalised experiences in which the AI genuinely knows the customer across every touchpoint.

For enterprise teams, Agent Memory matters because real-world outcomes depend on how the capability is integrated, governed, and measured — not just on the underlying technology. Long-term memory allows agents to personalise interactions based on previous preferences, past issues, and customer history — creating a relationship rather than a transaction.

## Key Points

- Short-term memory maintains context within a single conversation session
- Long-term memory retains customer preferences and history across multiple interactions
- Enables hyper-personalised experiences without customers repeating themselves
- Combined with CRM integration to surface real-time account and relationship data
- Critical capability for building customer relationships rather than one-off transactions

### See how it works in action

- [Watch the demo](https://www.youtube.com/watch?v=U87psHIQF3w)
- [Speak with an expert](/content/contact-us/index.html)
- [Explore Solutions](/content/solutions/ai-agents/index.html)
- [Explore Platform](/content/platform/cognigy-ai/index.html)