DeepSeek Memory Extension: How to Keep Context Between Chats
If you came here looking for a DeepSeek memory extension, you probably already worked out the thing that sends most people searching: DeepSeek does not carry anything from one conversation to the next.
It is worth saying plainly, because most people arrive at it sideways. They assume they missed a setting, or that it is buried somewhere in preferences. It is not there. There is nothing to switch on.
What DeepSeek actually keeps
Your history is saved. Old chats stay in the sidebar, you can open them and read them, and nothing is being deleted.
Inside a single conversation, DeepSeek holds more than almost anything else you use. A one million token window is now the default, which means one chat can carry an entire project: the source files, the constraints, weeks of back and forth.
What does not happen is any of it crossing into a new chat. There is no memory feature that builds a picture of you over time, and no custom instructions field that persists. A new conversation opens the same way for everyone, including you.
This is a design, not a defect. DeepSeek puts its capacity inside the conversation rather than across conversations, and for a lot of use that is exactly right.
Why the gap is felt more here
Because of the shape of the work DeepSeek tends to get.
Long reasoning problems, dense technical analysis, code that needs actual thinking. That work is rarely finished in one sitting, and the bigger the window, the more you tend to put in it. Weeks of context in a single thread is normal on DeepSeek in a way it is not elsewhere.
Then the thread ends, or you come back on a Monday and open a new one, and all of it is on the other side of a wall you can read but not use. One person described the cost as having to retell every single little detail, which is the part summaries are worst at.
The manual method, which genuinely works
Before installing anything, know that this problem has a free solution and a lot of people are already using it.
Near the end of a working session, ask DeepSeek to write you a handoff covering six things by name: the goal, the decisions and the reasoning behind them, the constraints, the current state of the work, the open questions, and the next step.
Save it outside DeepSeek. Paste it as the first message of the next chat, and before asking for any work, have DeepSeek repeat back what it understands the goal and the constraints to be. You will find the gaps immediately, usually a constraint that got compressed away. There is a fuller version of this routine that works on any assistant, not just DeepSeek.
Do this consistently and you have solved most of the problem without installing anything at all.
What a memory extension actually adds
The honest description first: it does not give DeepSeek memory. Nothing installed in a browser can, because what DeepSeek retains is DeepSeek's to decide.
What these tools do is keep a copy of your conversations in your own browser, outside the assistant, and give you a way to search that copy and push selected parts back into a chat. It is closer to a searchable clipboard than to memory.
Against the manual method, the difference is between writing a handoff every time and finding one.
The handoff still has to exist. You stop producing it by hand, and you stop losing it on the days you forget.
The second difference matters more if you use several assistants. The archive is not per platform, so work you did in ChatGPT or Claude can go into DeepSeek, which is the direction that actually comes up. People build context where the interface suits them and want the reasoning done somewhere else.
What none of them can do
Be skeptical past this line.
No extension changes what DeepSeek retains on its own. None of them extend the context window. None of them reliably capture every image, attachment and uploaded file. And anything promising fully automatic recall is promising that software decided what mattered on your behalf, which it will occasionally get wrong in a way you do not notice until the output is already off.
How to choose one
Three questions, in the order that matters.
Can you select what gets sent? Pushing a whole conversation into a fresh chat is usually worse than pushing four messages. A long transcript mixes settled decisions with abandoned attempts, and the model has to guess which still apply. If the tool is all or nothing, you will be sending noise into your most expensive reasoning.
Where does your text actually live? Most extensions in this category store your conversations on their own servers in a form their staff can read. Some say so plainly, some do not. If your DeepSeek chats include client work or anything unreleased, read the privacy policy before you install rather than after.
Can you leave with your data? Look for an export. Once you are keeping context in one place across several assistants, that archive quietly becomes the only complete record of the work, and a tool you cannot leave is a worse position than the one you started in.
Where Unibase Memory fits
Unibase Memory is a Chrome extension that captures conversations from DeepSeek, ChatGPT, Claude, Gemini, Grok and Kimi, along with web pages you save, into one searchable archive in your browser. DeepSeek support went live in August.
For DeepSeek the useful direction is inward. You search for the conversation where the decisions were made, select the specific messages rather than the thread, and send them into the input box. You edit them there before submitting, which matters because a handoff almost always needs one correction.
On the three questions above: you select what goes, your conversations stay on your machine by default, and if you turn sync on they are locked before they leave with a key only your browser holds. Everything exports as a file whenever you want.
Two things it does not do. It does not change what DeepSeek keeps, and it does not decide what is important on your behalf.