Category
chatbot-features
Setup
Dashboard, minutes
Channels
Web, WhatsApp, SMS, Slack, Teams
Data handling
SOC 2 Type II · GDPR
Nothing makes an AI agent feel more like a dead end than having to re-explain yourself every time you come back. Wonderchat keeps memory across conversations, so a returning visitor is recognised and the agent carries what it already knows.
When someone comes back, the agent has the context of what was discussed before - the question they were working through, the issue they raised, where things were left. It picks up from there instead of greeting them like a stranger. For support, that means a customer chasing an unresolved issue doesn't start from scratch. For sales, it means a returning prospect gets a conversation that builds on the last one rather than resetting.
Everything the agent recalls is still grounded in your own content and cited to its source - memory changes what the agent remembers about the person, not where its answers come from. And you stay in control of retention: how long history is kept, and when a conversation resets, are yours to set.
It's part of a SOC 2 Type II certified, GDPR-compliant platform, so conversation history is held to the same security standard as the rest of your data. Returning visitors get continuity; you get an agent that feels like it's paying attention.
What you control
Which sources chat history retention across conversations may use
Wording for answers you cannot get wrong
Who on the team can change it
What gets logged and exported
Frequently asked question
Do AI chatbots remember previous conversations?
Wonderchat does. It keeps memory across conversations, so a returning visitor is recognised and the agent picks up where they left off instead of starting over.
Can I control how long conversation history is kept?
Is conversation memory stored securely?
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