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

Using Buffer Memory with Chat Models
====================================

This example covers how to use chat-specific memory classes with chat models. The key thing to notice is that setting `returnMessages: true` makes the memory return a list of chat messages instead of a string.

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 { ConversationChain } from "langchain/chains";import { ChatOpenAI } from "@langchain/openai";import {  ChatPromptTemplate,  MessagesPlaceholder,} from "@langchain/core/prompts";import { BufferMemory } from "langchain/memory";const chat = new ChatOpenAI({ temperature: 0 });const chatPrompt = ChatPromptTemplate.fromMessages([  [    "system",    "The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.",  ],  new MessagesPlaceholder("history"),  ["human", "{input}"],]);const chain = new ConversationChain({  memory: new BufferMemory({ returnMessages: true, memoryKey: "history" }),  prompt: chatPrompt,  llm: chat,});const response = await chain.invoke({  input: "hi! whats up?",});console.log(response);

#### API Reference:

*   [ConversationChain](https://api.js.langchain.com/classes/langchain_chains.ConversationChain.html) from `langchain/chains`
*   [ChatOpenAI](https://api.js.langchain.com/classes/langchain_openai.ChatOpenAI.html) from `@langchain/openai`
*   [ChatPromptTemplate](https://api.js.langchain.com/classes/langchain_core_prompts.ChatPromptTemplate.html) from `@langchain/core/prompts`
*   [MessagesPlaceholder](https://api.js.langchain.com/classes/langchain_core_prompts.MessagesPlaceholder.html) from `@langchain/core/prompts`
*   [BufferMemory](https://api.js.langchain.com/classes/langchain_memory.BufferMemory.html) from `langchain/memory`

* * *

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