Do LLMs have memory by default?

No, LLMs are stateless - each request is independent. Memory must be implemented externally by including relevant history in the prompt or using retrieval systems to fetch past context.

How do chatbots remember conversation history?

Chatbots typically include previous messages in the prompt or use summarisation to compress history. Some systems store embeddings of past conversations in vector databases for retrieval.

What is the best approach for long-term memory?

Most effective approaches combine: summarised conversation history in context, vector database for retrieving relevant past interactions, and structured databases for key facts like preferences and account information.

Are there privacy concerns with AI memory?

Yes, storing conversation history raises privacy considerations. Implement proper data retention policies, allow users to delete their data, be transparent about what's stored, and ensure secure storage.

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Memory (AI)

Systems that allow AI to retain and recall information across conversations. Can be short-term (within session) or long-term (across sessions).

In-Depth Explanation

Memory in AI systems refers to mechanisms that allow models to retain and recall information beyond a single interaction. This is crucial for creating coherent, personalised AI experiences.

Types of AI memory:

Context memory: Information held within a single request's context window
Conversation memory: History of the current conversation session
Long-term memory: Information persisted across sessions
Episodic memory: Specific past interactions and events
Semantic memory: General knowledge and facts
Procedural memory: Learned processes and workflows

Implementation approaches:

Context stuffing: Include relevant history in the prompt
Summarisation: Compress conversation history
Vector storage: Store and retrieve relevant past context
Database integration: Persist structured information
Knowledge graphs: Store relationships and entities

Challenges:

Context window limits
Determining what to remember
Memory management at scale
Privacy implications
Hallucination about remembered content

Business Context

Memory enables personalised AI experiences where the system remembers customer preferences, past issues, and conversation history.

How Clever Ops Uses This

We implement sophisticated memory systems for Australian businesses, enabling AI assistants that truly know their customers and remember important context across interactions.

Example Use Case

"A support bot that remembers your previous issues, preferences, and account details across sessions, providing personalised service."

Frequently Asked Questions

Related Terms

AI Agents Context Window Knowledge Base

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