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GlossaryDefinition

What is persistent memory in AI?

Persistent memory is information an AI system keeps after a session ends and can use in later sessions without being re-supplied.

Ordinary chat memory is the context window: it lasts as long as the conversation and is gone when the tab closes. Persistent memory is written somewhere durable, such as a file, a database or a hosted memory service, and read back later. The write can be automatic (the model extracts facts as you talk) or explicit (you or the agent save a checkpoint). The read usually happens at session start or just before answering a question.

Persistence raises questions that session memory does not. Who owns the data? Can it be exported? Can it be edited or deleted? Does it survive a vendor shutting down? ChatGPT memory, for example, is free but capped, auto-rewritten since June 2026, and not included in data export (see notis.ai). Files on your own disk answer those questions simply: you own them, you can copy them, and no one else can switch them off.

How Central Brain handles persistent memory

Central Brain's project memory persists as local files. Checkpoints saved during one session can be recalled with memory_recall in the next, from any connected tool.