Architecture Overview

High-Level System Components

The memory retention system consists of the following components:

• Frontend (Vult AI Chat UI)

  • Users interact with AI via the chat interface.

  • Prompts and responses are stored in the AI Chat Folder.

• Backend (AI Processing & Memory Storage)

  • Handles user queries and processes AI-generated responses.

  • Uses Mem0 AI API for memory storage and retrieval.

  • Stores structured chat logs in a database or file system.

• Memory Storage Layer (Mem0 AI API)

  • Stores chat histories and user data.

  • Retrieves relevant memories based on user input and prompt context.

  • Ensures quick access to stored interactions for seamless responses.

Backend Implementation

1. Data Structures (Go Structs for Memory Storage)

type Chat struct {
    ShareInfoUrls       []string                `json:"share_info_urls"`
    ShareInfoIds        string                  `json:"share_info_ids"`
    Prompt             string                  `json:"prompt"`
    Model              string                  `json:"model"`
    IsFileProcessing   bool                    `json:"is_file_processing"`
    MasterPrompt       string                  `json:"master_prompt"`
    OpenAiMessages     []map[string]interface{} `json:"open_ai_messages"`
    DeepSeekMessages   []map[string]interface{} `json:"deep_seek_messages"`
    FileType           string                  `json:"file_type"`
    IsAgentInput       bool                    `json:"is_agent_input"`
    WebSearch          bool                    `json:"web_search"`
}

This struct represents a chat session in Vult AI. The key fields are:

• Prompt: Stores the user’s latest query.

• Model: The AI model used for processing.

• OpenAiMessages: Stores previous interactions with OpenAI models.

• DeepSeekMessages: Stores previous interactions with DeepSeek models.

• IsAgentInput: Indicates if the request is from AI Agent (file-based processing).

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2. Memory Retrieval via Mem0 AI

func retrieveMemory(userID string, prompt string) (string, error) {
    memoryClient := memory.NewMem0Client(config.Configuration.Mem0ApiKey)

    memoryResponse, err := memoryClient.SearchMemory(userID, prompt)
    if err != nil {
        logger.LogError("AI Chat: Failed to search memory", zap.Error(err))
        return "", err
    }

    if memoryResponse != nil {
        return memoryResponse.Memories, nil
    }
    return "", nil
}

This function:

1. Initializes the Mem0 API client.

2. Calls SearchMemory() to fetch previously stored interactions.

3. If memory exists, it returns retrieved context to be appended to the user prompt.

3. AI Model Processing with Memory Context

func processChatRequest(ctx context.Context, chatInput Chat) (Response, error) {
    memoryContext, _ := retrieveMemory(chatInput.UserID, chatInput.Prompt)

    chatInput.Prompt = memoryContext + "\nUser Question: " + chatInput.Prompt

    res, err := aiAgentService.CreateChat(ctx, authHeaders, chatInput)
    if err != nil {
        ctx.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": err.Error()})
        return nil, err
    }

    return res, nil
}

This function:

1. Calls retrieveMemory() to fetch relevant past interactions.

2. Appends retrieved memory to the current user prompt.

3. Passes the enriched prompt to the AI model for response generation.

4. Returns the processed response to the Vult AI UI.