Persistent Conversations & History

Persistent conversations allow chatbot users to continue previous chats instead of starting from scratch every time. When enabled, Aimogen stores conversation context and lets users resume, switch, or review earlier conversations, similar to modern AI chat interfaces.

This behavior is optional, configurable, and controlled per chatbot.

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What “Persistent Conversations” Means #

When persistence is enabled, the chatbot remembers:

• previous messages in a conversation
• the order of exchanges
• the active conversation state

Users can leave the site and return later, and the chatbot can continue the same conversation instead of resetting.

This applies only to chat interactions, not to content generation or editing.

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Where Persistence Is Controlled #

Conversation persistence is configured per chatbot, inside the chatbot settings.

Each chatbot can:

• have persistence enabled
• have persistence disabled
• manage conversations independently of other chatbots

There is no global persistence switch.

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Conversation Sessions vs Conversations #

Aimogen distinguishes between:

• a conversation (a logical chat thread)
• a session (a user’s visit or browser instance)

With persistence disabled:

• conversations reset when the session ends

With persistence enabled:

• conversations can persist across sessions
• users can return to previous chats

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Conversation History for Users #

When enabled, users may be able to:

• see previous conversations
• switch between conversations
• start new conversations manually
• continue older ones

The exact UI depends on chatbot configuration and frontend layout.

This is similar to how ChatGPT allows multiple chat threads.

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Frontend vs Backend Behavior #

Frontend Chatbots #

On the frontend:

• persistence is typically tied to browser storage or user identity
• logged-in users may have stronger persistence
• guests may rely on cookies or local storage

Clearing cookies or using a different device may reset history for guests.

Backend Chatbot (Playground) #

In the backend:

• persistence is mainly for testing and experimentation
• conversations may persist per admin session
• behavior is not intended for long-term storage

Backend persistence does not affect frontend chatbots.

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Logged-In vs Guest Users #

Persistence behaves differently depending on user state:

• Logged-in users
  Conversations can be associated with the user account, allowing more reliable history.
• Guest users
  Persistence usually relies on browser storage. History may be lost if cookies are cleared or browsers change.

This distinction is important for support or lead-based chatbots.

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Storage and Limits #

Conversation history:

• respects Aimogen logging settings
• respects storage limits
• respects privacy configuration

Very long conversations may be:

• truncated
• summarized
• partially discarded

This depends on provider limits and configuration.

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Impact on AI Behavior #

Persistent conversations affect how the AI responds:

• previous context influences new replies
• the chatbot can reference earlier messages
• tone and direction remain consistent

This improves conversational quality but increases token usage.

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Cost and Performance Considerations #

Persistence increases:

• context size sent to the model
• token usage
• response time

For high-traffic sites, persistence should be enabled selectively.

Short-lived support chats often do not need long history.

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Privacy and Compliance #

If persistence is enabled:

• users should be informed that conversations are stored
• GDPR or privacy consent may be required
• data retention rules should be reviewed

Aimogen does not anonymize chat content automatically.

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When to Enable Persistence #

Persistent conversations are ideal for:

• customer support
• onboarding flows
• educational assistants
• internal tools
• returning users

They are less useful for:

• one-off Q&A widgets
• high-volume anonymous traffic
• simple lead capture bots

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What Persistence Does Not Do #

Persistence does not:

• train the AI
• permanently improve responses
• share conversations between chatbots
• bypass provider context limits
• create a knowledge base

It only preserves conversation context.

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Best Practices #

• enable persistence only when needed
• limit conversation length
• test guest vs logged-in behavior
• review storage and privacy settings
• combine persistence with clear personas

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Summary #

Persistent Conversations allow Aimogen chatbots to remember and resume chats across interactions. Enabled per chatbot, they improve conversational continuity and user experience at the cost of higher context usage and storage requirements. Persistence affects chat quality and behavior but does not train models or create long-term knowledge. Used intentionally, it turns chatbots from disposable widgets into ongoing conversational assistants.