Bind Profile Template
Bind a Profile template to a user or Agent, creating a Profile memory instance. After binding, the corresponding attribute fields are automatically updated whenever new messages are added.
POST
import os
import requests
import json
# Replace with your API Key
os.environ["MEMOS_API_KEY"] = "YOUR_API_KEY"
os.environ["MEMOS_BASE_URL"] = "https://memos.memtensor.cn/api/openmem/v1"
data = {
"bind_list": [
{
"user_id": "memos_user_123",
"profile_template_id": "tpl_user_001"
}
]
}
headers = {
"Content-Type": "application/json",
"Authorization": f"Token {os.environ['MEMOS_API_KEY']}"
}
url = f"{os.environ['MEMOS_BASE_URL']}/bind/profile_template"
res = requests.post(url=url, headers=headers, data=json.dumps(data))
print(f"result: {res.json()}")
# Ensure MemOS is installed (pip install MemoryOS -U)
from memos.api.client import MemOSClient
client = MemOSClient(api_key="YOUR_API_KEY")
res = client.bind_profile_template(
bind_list=[{"user_id": "memos_user_123", "profile_template_id": "tpl_user_001"}]
)
print(f"result: {res}")
curl --request POST \
--url https://memos.memtensor.cn/api/openmem/v1/bind/profile_template \
--header 'Authorization: Token YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--data '{
"bind_list": [
{
"user_id": "memos_user_123",
"profile_template_id": "tpl_user_001"
}
]
}'
{
"code": 0,
"data": {
"success": true
},
"message": "<string>"
}Authorizations
Authorization
string
header
required
Token API_key, available in API Console > API Keys
Body
application/json
bind_list
object[]
required
List of bindings to create in a single call, up to 20 per request.
Show child attributes
Response
application/json
Successful Response
code
number
API status code.
data
object
Show child attributes
message
string
API response message.
import os
import requests
import json
# Replace with your API Key
os.environ["MEMOS_API_KEY"] = "YOUR_API_KEY"
os.environ["MEMOS_BASE_URL"] = "https://memos.memtensor.cn/api/openmem/v1"
data = {
"bind_list": [
{
"user_id": "memos_user_123",
"profile_template_id": "tpl_user_001"
}
]
}
headers = {
"Content-Type": "application/json",
"Authorization": f"Token {os.environ['MEMOS_API_KEY']}"
}
url = f"{os.environ['MEMOS_BASE_URL']}/bind/profile_template"
res = requests.post(url=url, headers=headers, data=json.dumps(data))
print(f"result: {res.json()}")
# Ensure MemOS is installed (pip install MemoryOS -U)
from memos.api.client import MemOSClient
client = MemOSClient(api_key="YOUR_API_KEY")
res = client.bind_profile_template(
bind_list=[{"user_id": "memos_user_123", "profile_template_id": "tpl_user_001"}]
)
print(f"result: {res}")
curl --request POST \
--url https://memos.memtensor.cn/api/openmem/v1/bind/profile_template \
--header 'Authorization: Token YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--data '{
"bind_list": [
{
"user_id": "memos_user_123",
"profile_template_id": "tpl_user_001"
}
]
}'
{
"code": 0,
"data": {
"success": true
},
"message": "<string>"
}