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Documentation Index

Fetch the complete documentation index at: https://docs.memv.ai/llms.txt

Use this file to discover all available pages before exploring further.

Spaces are isolated containers for organizing memories. Each space has its own set of memories, files, and configuration.

​
Create a space

from memvai import Memv

client = Memv()

# Create a new space
response = client.spaces.create(
    name="Personal Assistant",
    description="Memories for my AI assistant"
)

space = response.space
print(f"Created space: {space.id}")

​
Response structure

The response contains a space object with the following fields:
  • id - Unique space identifier
  • name - Space name
  • description - Space description
  • created_at - Creation timestamp
  • updated_at - Last update timestamp

​
List spaces

# List all spaces
response = client.spaces.list()

for space in response.spaces:
    print(f"{space.name} ({space.id})")

​
Retrieve a space

# Get space by ID
response = client.spaces.retrieve(space_id="space_abc123")

space = response.space
print(f"Name: {space.name}")
print(f"Description: {space.description}")

​
Update a space

# Update space details
response = client.spaces.update(
    space_id="space_abc123",
    name="Updated Name",
    description="Updated description"
)

space = response.space
print(f"Updated: {space.name}")

​
Delete a space

# Delete a space
response = client.spaces.delete(space_id="space_abc123")

if response.success:
    print("Space deleted successfully")
Deleting a space permanently removes all memories, files, and data associated with it. This action cannot be undone.

​
Get space statistics

# Get space stats
stats = client.spaces.get_stats()

print(f"Total memories: {stats.total_memories}")
print(f"Total files: {stats.total_files}")
print(f"Storage used: {stats.storage_bytes} bytes")

​
Common patterns

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Create space if not exists

def get_or_create_space(client: Memv, name: str) -> str:
    """Get existing space by name or create new one."""
    # List existing spaces
    response = client.spaces.list()

    # Find by name
    for space in response.spaces:
        if space.name == name:
            return space.id

    # Create new space
    response = client.spaces.create(name=name)
    return response.space.id

# Usage
space_id = get_or_create_space(client, "My App")

​
Batch operations

def create_multiple_spaces(names: list[str]) -> list[str]:
    """Create multiple spaces."""
    space_ids = []

    for name in names:
        response = client.spaces.create(name=name)
        space_ids.append(response.space.id)

    return space_ids

# Usage
space_ids = create_multiple_spaces([
    "User Preferences",
    "Chat History",
    "Knowledge Base"
])

​
Best practices

Create separate spaces for different use cases or users:
# User-specific spaces
user_space = client.spaces.create(
    name=f"User {user_id} - Preferences",
    description="User preferences and settings"
)

# Feature-specific spaces
chat_space = client.spaces.create(
    name="Chat History",
    description="Conversation memories"
)
Give spaces clear, descriptive names that indicate their purpose.
Regularly delete spaces that are no longer needed to manage costs.

​
Error handling

import memvai
from memvai import Memv

client = Memv()

try:
    response = client.spaces.create(name="My Space")
    space_id = response.space.id
    print(f"Created: {space_id}")
except memvai.AuthenticationError:
    print("Invalid API key")
except memvai.BadRequestError as e:
    print(f"Invalid request: {e.message}")
except memvai.APIError as e:
    print(f"API error: {e}")

​
Next steps

Memories

Add memories to your space

Files

Upload files to your space