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                *   [Using Buffer Memory with Chat Models](/v0.1/docs/modules/memory/types/buffer_memory_chat/)
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*   [Memory](/v0.1/docs/modules/memory/)
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*   Conversation buffer window memory

Conversation buffer window memory
=================================

`ConversationBufferWindowMemory` keeps a list of the interactions of the conversation over time. It only uses the last K interactions. This can be useful for keeping a sliding window of the most recent interactions, so the buffer does not get too large

Let's first explore the basic functionality of this type of memory.

tip

See [this section for general instructions on installing integration packages](/v0.1/docs/get_started/installation/#installing-integration-packages).

*   npm
*   Yarn
*   pnpm

    npm install @langchain/openai

    yarn add @langchain/openai

    pnpm add @langchain/openai

    import { OpenAI } from "@langchain/openai";import { BufferWindowMemory } from "langchain/memory";import { ConversationChain } from "langchain/chains";const model = new OpenAI({});const memory = new BufferWindowMemory({ k: 1 });const chain = new ConversationChain({ llm: model, memory: memory });const res1 = await chain.call({ input: "Hi! I'm Jim." });console.log({ res1 });

    {response: " Hi Jim! It's nice to meet you. My name is AI. What would you like to talk about?"}

    const res2 = await chain.call({ input: "What's my name?" });console.log({ res2 });

    {response: ' You said your name is Jim. Is there anything else you would like to talk about?'}

* * *

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Using Buffer Memory with Chat Models

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