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.
FAQ
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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