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ALLi - Memory and Context

Article 000002259 · Updated Apr 3, 2026

ALLi - Memory and Context

Memory allows ALLi to store and recall important information across conversations so it can provide more helpful, context-aware assistance over time.

Instead of repeating the same details in every interaction, you can allow ALLi to remember certain information for future use. This helps streamline workflows and improves continuity across conversations.


Quick Takeaway: ALLi can remember useful details for future conversations, but only after you confirm that the information should be saved. Memory is tied to your user context and is not automatically shared with other users.

What Memory Does

Memory helps ALLi retain useful information between conversations so it can provide more relevant responses later.

This means ALLi can reference saved details when they are helpful instead of asking you to repeat the same information over and over.

Built for continuity: Memory helps ALLi support ongoing work more effectively by carrying forward useful context into future conversations.


How Memory Works

Memory follows a simple confirmation-based process.

Step 1: Useful information comes up during a conversation
Step 2: ALLi asks whether you want that information saved
Step 3: You confirm that it should be remembered
Step 4: ALLi stores the information for future conversations

This confirmation step is important because ALLi does not automatically save every detail. It asks first before storing memory. 


Example Memory Scenario

Here is a simple example of how memory works in practice.

This behavior is shown directly in the uploaded memory example. 


What Memory Is Tied To

Memory is tied to your user context, not shared automatically across all users in the same instance.

That means:

Important: Memory is personal to your interaction context. Other users do not automatically inherit or use your saved memory. 


Does Memory Persist Across Conversations?

Yes. Once saved, memory is designed to persist beyond the current conversation and can be used in future chats with you.

For example, after saving vendor information, you can start a completely new conversation later and ask a follow-up question like:

ALLi can then recall that saved information in the new conversation. The uploaded example confirms that memory persists across new conversations and is not limited to a single thread. 


Managing Memory

You remain in control of what ALLi remembers.

If something changes, you can simply tell ALLi to update or remove it. The uploaded example also shows that ALLi can adjust memory later if needed. 


Examples of Helpful Memory

Memory is most useful when the same information comes up repeatedly over time.

Examples include:

How it helps: Memory reduces repetitive setup and gives ALLi more context to work with, which can make recurring tasks faster and easier.


Key Benefits

In practice, memory helps ALLi feel more consistent and useful over time without requiring you to restate the same information in every conversation.


What Memory Does Not Do


How This Fits Into Your Workflow

Memory makes ALLi more useful for ongoing work by carrying forward the details that matter most to you.

Best fit: Repeating workflows, community-specific follow-ups, vendor tracking, and situations where continuity across conversations saves time.


What’s Next

ALLi’s memory works especially well alongside prompts, workflows, and recurring operational tasks.

[Insert Link: ALLi - Workflows in Steps]
[Insert Link: ALLi - How to Use Prompts in ALLi]

How to Use Prompts in ALLi