Quickstart

pip install memvai

npm install memvai

pnpm add memvai

yarn add memvai

from memvai import Memv

# Initialize client
client = Memv()

# Create or get space
response = client.spaces.create(name="Chatbot Memory")
space_id = response.space.id

def chat_with_memory(user_message: str) -> str:
    """Process user message with memory context."""

    # 1. Search for relevant memories
    memories = client.memories.search(
        space_id=space_id,
        query=user_message,
        limit=5
    )

    # 2. Build context from memories
    context = "\n".join([m.content for m in memories.memories])

    # 3. Generate response (using your LLM of choice)
    # response = your_llm.generate(
    #     prompt=f"Context: {context}\n\nUser: {user_message}",
    # )

    # 4. Store the conversation as a new memory
    client.memories.add(
        space_id=space_id,
        content=f"User: {user_message}\nAssistant: {response}"
    )

    return response

# Use it
response = chat_with_memory("What features should we prioritize?")
print(response)

import Memv from 'memvai';

// Initialize client
const client = new Memv();

// Create or get space
const response = await client.spaces.create({ name: 'Chatbot Memory' });
const spaceId = response.space.id;

async function chatWithMemory(userMessage: string): Promise<string> {
  // 1. Search for relevant memories
  const memories = await client.memories.search({
    space_id: spaceId,
    query: userMessage,
    limit: 5,
  });

  // 2. Build context from memories
  const context = memories.memories
    .map(m => m.content)
    .join('\n');

  // 3. Generate response (using your LLM of choice)
  // const response = await yourLLM.generate({
  //   prompt: `Context: ${context}\n\nUser: ${userMessage}`,
  // });

  // 4. Store the conversation as a new memory
  await client.memories.add({
    space_id: spaceId,
    content: `User: ${userMessage}\nAssistant: ${response}`,
  });

  return response;
}

// Use it
const response = await chatWithMemory('What features should we prioritize?');
console.log(response);