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Context Limits

A context limit is the cap on how much an AI agent can keep in its working memory at one time. On Emergent, that memory holds your conversation, the code written so far, the decisions made, and your project requirements, and the limit is the point past which it can't hold more.

Knowing this helps you understand why very long builds eventually need a fresh start.

How context limits work

As you build, the agent keeps the details of your project in its working memory, and every message, code change, and decision takes up part of that space. Emergent's agents work with a large context window, enough for most full-stack builds, but very long or complex projects gradually fill it up. As you approach the limit, Emergent warns you, and Forking lets you carry on in a fresh context window while keeping the code you've already built.

Example

You're deep into a large app and the agent has tracked hundreds of decisions and changes along the way. As the conversation nears the context limit, Emergent warns you, and you fork the project to keep building with a fresh context window rather than losing momentum.

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