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Glossary

Context window — definition and meaning

A context window is the maximum amount of text — measured in tokens — an AI model can consider at once. Anything beyond it is forgotten unless stored and re-supplied by a separate memory system.

Last reviewed 2026-05-25

The context window is the model's working memory: the span of recent conversation it can actually 'see' when generating a reply. When a conversation exceeds the window, the oldest content drops out of view. This is the core reason AI companions forget things — not a flaw in the model's intelligence, but a hard architectural limit. Every long-term memory feature in every companion app is a workaround that extracts important facts and re-injects them into the window at the right moment. Bigger windows help, but they don't replace a real memory layer.

Common questions

About context window.

What is context window?

A context window is the maximum amount of text — measured in tokens — an AI model can consider at once. Anything beyond it is forgotten unless stored and re-supplied by a separate memory system.

How is "context window" used in AI companion apps?

The context window is the model's working memory: the span of recent conversation it can actually 'see' when generating a reply. When a conversation exceeds the window, the oldest content drops out of view. This is the core reason AI companions forget things — not a flaw in the model's intelligence, but a hard architectural limit. Every long-term memory feature in every companion app is a workaround that extracts important facts and re-injects them into the window at the right moment. Bigger windows help, but they don't replace a real memory layer.

What other terms relate to context window?

Related terms in the AI companion space include: LLM (large language model), Long-term memory (in AI companions), Memory canon, Token (AI). Each has its own glossary entry on /glossary.