GlossaryProductsIntermediate

Memory

Also written: Agentic memory, Copilot Memory, ChatGPT Memory, Memory management, Retrieves memory, Memory synthesis, Durable project memory, State management

AI's ability to recall past interactions and learned context to inform future responses.

In plain terms

AI memory is what the AI remembers about you and your conversations. This allows the AI to build on previous interactions, making conversations feel more continuous and personalized.

For example, if you tell an AI assistant your name and ask it to remember it, a good memory system would allow the AI to recall your name in a later conversation without you having to repeat it.

The expert version

AI memory refers to the mechanism by which a model retains and accesses information from prior inputs, conversations, or training data to influence its current output. This can range from short-term context windows that hold recent dialogue to more persistent storage mechanisms that allow for long-term personalization and learned behaviors. The effectiveness of memory is crucial for maintaining conversational coherence, user personalization, and task completion over extended interactions.

Why it matters now

Recent developments show AI systems are being designed to retain information across sessions and interactions. This allows for more sophisticated agentic behavior, like learning from user corrections or maintaining context in long-running tasks. Companies are exploring ways to manage and transfer this learned information, making AI more persistent and collaborative.

Where it shows up 16 items, newest first
How each company uses it
Anthropic Claude
Anthropic is enabling users to import and export their memory from Claude, and exploring agent-mediated processes that rely on recalling past information.
Google Gemini
Google Gemini's models are being developed to handle complex tasks that likely require retaining context and information over time.
Microsoft Copilot
Microsoft Copilot is directly integrating memory features, allowing the system to learn from user corrections to improve its performance.
OpenAI ChatGPT
OpenAI is enabling features like ChatGPT Space for sharing and collaboration, which implies a need for persistent data and context, and is working on tools for long-horizon tasks that require sustained memory.
Related terms

Context WindowPersonalizationState ManagementRetrieval Augmented GenerationLong-term MemoryConversational AI

Often confused with
Context Window
The context window is the amount of recent text the AI can consi
Training Data
Training data is the vast dataset used to initially teach the AI,
Fine-tuning
Fine-tuning adapts a model to a specific task or style using new da
Origin

The concept of memory in AI is fundamental to artificial intelligence research, evolving from early work on state representation and knowledge bases. In the context of large language models, memory is often implemented through attention mechanisms within the model's architecture and explicit storage of past interactions.

Try this about 5 minutes

In ChatGPT or Claude, start a new conversation and tell the AI your favorite color. Then, start a new chat session and ask the AI what your favorite color is. See if it remembers from the previous conversation.

Try it: Playbook entries that use thisPlaybook →

The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.

Questions people ask

How does AI memory work?
AI memory can work in several ways, including using a limited window of recent conversation text or storing key details from past interactions in a separate database.
Is AI memory the same as my chat history?
AI memory often uses chat history as a basis, but it can also involve specific features designed to retain and recall information more effectively for personalization.

First seen on Subvolts Oct 1, 2025. Updated Oct 12, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.