Skip to main content
GET
/
api
/
v1
/
users
/
blobs
/
{user_id}
/
{blob_type}
Python
# To use the Python SDK, install the package:
# pip install memobase

from memobase import MemoBaseClient
from memobase.core.blob import BlobType

client = MemoBaseClient(project_url='PROJECT_URL', api_key='PROJECT_TOKEN')

user = client.get_user('user_id')
blobs = user.get_all(BlobType.chat)
{
  "data": {
    "ids": [
      "<string>"
    ]
  },
  "errno": 0,
  "errmsg": ""
}

Documentation Index

Fetch the complete documentation index at: https://docs.memobase.io/llms.txt

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

Retrieve all memory blobs of a specific type for a user. This endpoint supports pagination to manage large sets of memory data efficiently. Query Parameters:
  • page: Page number (default: 0)
  • page_size: Number of items per page (default: 10)

Authorizations

​
Authorization
string
header
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Path Parameters

​
user_id
required

The ID of the user to fetch blobs for

​
blob_type
enum<string>
required

The type of blobs to retrieve

Available options:
chat,
summary,
doc,
image,
code,
transcript

Query Parameters

​
page
integer
default:0

Page number for pagination, starting from 0

​
page_size
integer
default:10

Number of items per page, default is 10

Response

Successful Response

​
data
IdsData · object

Response containing multiple IDs

​
errno
enum<integer>
default:0

Error code, 0 means success

Available options:
0,
400,
401,
403,
404,
405,
409,
422,
500,
501,
502,
503,
504,
520
​
errmsg
string
default:""

Error message, empty when success