Skip to main content
PUT
/
api
/
v1
/
memories
/
update
/
{memory_id}
Update Memory
curl --request PUT \
  --url https://api.leedab.com/api/v1/memories/update/{memory_id} \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "content": "<string>",
  "category": "<string>",
  "tags": [
    {}
  ],
  "importance": 123,
  "confidence": 123,
  "source": "<string>",
  "user_id": "<string>",
  "session_id": "<string>",
  "metadata": {}
}
'

Documentation Index

Fetch the complete documentation index at: https://docs.agent-mind.com/llms.txt

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

​
Overview

Update an existing memory’s content and metadata. This endpoint allows you to modify any aspect of a stored memory.

​
Path Parameters

​
memory_id
string
required
The unique identifier of the memory to update.

​
Request Body

​
content
string
Updated content for the memory.
​
category
string
Category classification for the memory.
​
tags
array
Array of tags to associate with the memory.
​
importance
number
Importance score (0-1) for memory prioritization.
​
confidence
number
Confidence score (0-1) for the memory’s accuracy.
​
source
string
Source of the memory information.
​
user_id
string
Updated user association for the memory.
​
session_id
string
Updated session association for the memory.
​
metadata
object
Additional metadata to attach or update.

​
Response

Returns the updated memory object with all current values.

​
Examples

​
Update Memory Content

import requests

memory_id = "mem_abc123"
url = f"https://api.leedab.com/api/v1/memories/update/{memory_id}"
headers = {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json"
}
data = {
    "content": "User strongly prefers email over phone calls",
    "importance": 0.9
}

response = requests.put(url, json=data, headers=headers)
updated_memory = response.json()

​
Update Metadata and Tags

data = {
    "category": "customer_preferences",
    "tags": ["communication", "high_priority", "verified"],
    "confidence": 1.0,
    "metadata": {
        "last_verified": "2024-03-20",
        "verified_by": "support_team",
        "notes": "Confirmed directly with customer"
    }
}

response = requests.put(url, json=data, headers=headers)

​
Complete Update

data = {
    "content": "Customer has enterprise account with 500+ users",
    "category": "account_info",
    "tags": ["enterprise", "vip", "high_value"],
    "importance": 1.0,
    "confidence": 1.0,
    "source": "sales_crm",
    "user_id": "enterprise_customer_001",
    "session_id": "q1_2024_review",
    "metadata": {
        "account_type": "enterprise",
        "user_count": 523,
        "contract_value": 150000,
        "renewal_date": "2024-12-31"
    }
}

response = requests.put(url, json=data, headers=headers)

​
Response Example

{
  "id": "mem_abc123",
  "content": "Customer has enterprise account with 500+ users",
  "category": "account_info",
  "tags": ["enterprise", "vip", "high_value"],
  "importance": 1.0,
  "confidence": 1.0,
  "source": "sales_crm",
  "user_id": "enterprise_customer_001",
  "session_id": "q1_2024_review",
  "metadata": {
    "account_type": "enterprise",
    "user_count": 523,
    "contract_value": 150000,
    "renewal_date": "2024-12-31"
  },
  "created_at": "2024-03-15T10:30:00Z",
  "updated_at": "2024-03-20T14:45:00Z",
  "status": "success"
}

​
Error Responses

​
400 Bad Request

{
  "error": "Invalid update parameters"
}

​
401 Unauthorized

{
  "error": "Invalid or missing API key"
}

​
404 Not Found

{
  "error": "Memory not found or not owned by user"
}

​
500 Internal Server Error

{
  "error": "Failed to update memory"
}