List Memories langbase.memory.list()

Retrieve a list of all AI memory present in an account on Langbase using the langbase.memory.list() function.

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.

API reference

`langbase.memory.list()`

Function Signature

langbase.memory.list();

The langbase.memory.list() method takes no parameters and returns an array of memories present in your account.

Usage example

Install the SDK

npm i langbase
pnpm i langbase
yarn add langbase

Environment variables

.env file

LANGBASE_API_KEY="<USER/ORG-API-KEY>"

List memories

List all memories

import {Langbase} from 'langbase';

const langbase = new Langbase({
	apiKey: process.env.LANGBASE_API_KEY!,
});

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

Response

Name
MemoryListResponse[]
Type
array
Description
The response array returned by the langbase.memory.list() function.
MemoryListResponse
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 memory.
- Name
  owner_login
  Type
  string
  Description
  Login of the memory owner.
- Name
  url
  Type
  string
  Description
  Memory access 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

Response of langbase.memory.list()

[
	{
		"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