TradlyTradly Memory

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    Your agent remembers the chat. It still doesn't know what the visitor did on your site.

    Mem0, Zep, and LangMem are the standard memory layers for AI agents — they store conversations. Tradly Memory is the missing half: behavior memory that gives agents context before a single word is exchanged.

    The gap

    Two kinds of memory, one missing

    Conversational memory answers 'what did this user say to the agent?' Behavior memory answers 'what did this visitor do on my website?' Your agents need both.

    Agent-memory frameworks like Mem0, Zep, and LangMem are well designed for their job: storing what a user said across chat sessions, extracting facts, and returning that context to the agent. If your bot has had ten conversations with a logged-in user, these tools make it feel continuous.

    But they only know what the user said to the agent. A support agent that knows the visitor's last chat still doesn't know they searched for "pricing," compared two products, and abandoned a cart at 2 a.m. — unless something captured that behavior first. That's the gap Tradly Memory fills: website behavior, turned into agent-readable memory, available before the first message.

    Head to head

    Mem0 / Zep / LangMem vs. Tradly Memory

    What you getMem0, Zep, LangMemTradly Memory
    Remembers conversations Yes No
    Captures website behavior No Yes
    Works for anonymous visitors No Yes
    No PII, behavior-only profilesConversation based Yes
    Context before the first message No Yes
    Exposes memory over MCP Yes Yes
    Feeds recommendations, not just chat No Yes

    Where it falls short

    Three limits of conversation-only memory

    1. Anonymous visitors are invisible

    Mem0, Zep, and LangMem tie memory to a user identity. Until a visitor logs in — or ever — there is nothing to remember. Most of your traffic never logs in.

    2. The agent is late to the story

    A conversation-based memory layer only accumulates context after the user speaks. The visitor's intent from browsing, searching, and comparing is lost before the chat starts.

    3. Memory for answers, not actions

    Conversation memory makes a chat feel personal. It doesn't recommend an ad audience, a popup, or a recovery email. Behavior memory does — and it can still feed the same agent.

    The difference

    What the agent knows before the chat

    Conversation memory

    "User asked about refunds on June 3." Only exists after the user talks — and only if they log in.

    Behavior memory (Tradly Memory)

    "maya-84f2 searched 'enterprise plan', compared two pages, added to cart, stalled at shipping." Available before the first message — with no login and no PII.

    Give your agents the other half of memory.

    Pair Tradly Memory with your conversation layer and agents finally start with context: what the visitor did, why it matters, and what to do next.

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