Does DeepSeek have memory across chats?
DeepSeek chats do not automatically carry the full context of one long conversation into the next. You need to provide the important context again or use a structured handover.
DeepSeek continuity
DeepSeek memory for long conversations
thredly summarizes the important parts of a DeepSeek conversation so you can paste the result into a new thread and continue without losing progress.
What to preserve from DeepSeek
- Reasoning context
- Code decisions
- Prompt experiments
- Next steps
Related guides
Frequently asked questions
Does DeepSeek-R1 memory work differently from DeepSeek-V3?
The exact models may reason differently, but the practical problem is the same: a new chat needs the old thread goals, constraints, decisions, and progress if you want continuity.