```typescript
import { ConversationChain } from "langchain/chains";
import { ChatOpenAI } from "langchain/chat_models/openai";
import {
  ChatPromptTemplate,
  HumanMessagePromptTemplate,
  SystemMessagePromptTemplate,
  MessagesPlaceholder,
} from "langchain/prompts";
import { BufferMemory } from "langchain/memory";

const chat = new ChatOpenAI({ temperature: 0 });

const chatPrompt = ChatPromptTemplate.fromPromptMessages([
  SystemMessagePromptTemplate.fromTemplate(
    "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"),
  HumanMessagePromptTemplate.fromTemplate("{input}"),
]);

// Return the current conversation directly as messages and insert them into the MessagesPlaceholder in the above prompt.
const memory = new BufferMemory({
  returnMessages: true,
  memoryKey: "history"
});

const chain = new ConversationChain({
  memory,
  prompt: chatPrompt,
  llm: chat,
  verbose: true,
});

const res = await chain.call({
  input: "My name is Jim.",
});
```
```console
Hello Jim! It's nice to meet you. How can I assist you today?
```

```typescript
const res2 = await chain.call({
  input: "What is my name?",
});
```
```console
Your name is Jim. You mentioned it at the beginning of our conversation. Is there anything specific you would like to know or discuss, Jim?
```