Memory: List v1

The list memory API endpoint allows you to get a list of memory sets on Langbase with API. This endpoint requires a User or Org API key.

Generate a User/Org API key

You will need to generate an API key to authenticate your requests. For more information, visit the User/Org API key documentation.

GET/v1/memory

Get a list of memory

Get a list of all memory by sending a GET request to this endpoint.

Headers

Name
Content-Type
Type
string
Required
Required
Description
Request content type. Needs to be application/json.
Name
Authorization
Type
string
Required
Required
Description
Replace <YOUR_API_KEY> with your user/org API key.

List Memory

GET

/v1/memory

import {Langbase} from 'langbase';

const langbase = new Langbase({
  apiKey: '<YOUR_API_KEY>', // Replace with your API key
});

const memories = await langbase.memory.list();

Response

Name
Memory[]
Type
Array<Memory>
Description
An array of Memory objects returned by the API endpoint.
Memory
interface MemoryListResponse { name: string; description: string; owner_login: string; url: string; embedding_model: | 'openai:text-embedding-3-large' | 'cohere:embed-multilingual-v3.0' | 'cohere:embed-multilingual-light-v3.0'; }
- Name
  name
  Type
  string
  Description
  Name of the memory.
- Name
  description
  Type
  string
  Description
  Description of the AI memory.
- Name
  owner_login
  Type
  string
  Description
  Login of the memory owner.
- Name
  url
  Type
  string
  Description
  Memory studio URL.
- Name
  embedding_model
  Type
  string
  Description
  The embedding model used by the AI memory.
  
  openai:text-embedding-3-large
  
  cohere:embed-multilingual-v3.0
  
  cohere:embed-multilingual-light-v3.0

API Response

[
  {
    "name": "knowledge-base",
    "description": "An AI memory for storing company internal docs.",
    "owner_login": "user123",
    "url": "https://langbase.com/user123/document-memory",
    "embedding_model": "openai:text-embedding-3-large"
  },
  {
    "name": "multilingual-knowledge-base",
    "description": "Advanced memory with multilingual support",
    "owner_login": "user123",
    "url": "https://langbase.com/user123/multilingual-memory",
    "embedding_model": "cohere:embed-multilingual-v3.0"
  }
]

Memory API