Search Memory

import os
import requests
import json

# Replace with your MemOS API Key
os.environ["MEMOS_API_KEY"] = "YOUR_API_KEY"
os.environ["MEMOS_BASE_URL"] = "https://memos.memtensor.cn/api/openmem/v1"

data = {
  "query": "I want to go out for National Day. Please recommend me a city I haven't been to and a hotel brand I haven't stayed at.",
  "user_id": "memos_user_123",
  "conversation_id": "0928" # The current conversation ID (optional). If provided, MemOS gives higher weight to this conversation's memories but won't force a hit.
}
headers = {
  "Content-Type": "application/json",
  "Authorization": f"Token {os.environ['MEMOS_API_KEY']}"
}
url = f"{os.environ['MEMOS_BASE_URL']}/search/memory"

res = requests.post(url=url, headers=headers, data=json.dumps(data))

print(f"result: {res.json()}")

# Example output (simplified for demonstration purposes)
{
  # Fact memories
  memory_detail_list [
    {
      "memory_key": "Summer Vacation Guangzhou Travel Plan",
      "memory_value": "The user plans to travel to Guangzhou during the summer vacation and has chosen 7 Days Inn as their accommodation.",
      "conversation_id": "0610",
      "tags": [
        "travel",
        "Guangzhou",
        "accommodation",
        "hotel"
      ]
    }
  ],
  # Preference memories
  preference_detail_list [
    {
      "preference_type": "implicit_preference",  # Implicit preference
      "preference": "The user may prefer cost-effective hotel choices.",
      "reasoning": "7 Days Inn is generally known for being affordable; the user's choice indicates a preference for good value. Although the user hasn't explicitly mentioned budget or hotel preferences, selecting 7 Days may reflect a focus on price and practicality.",
      "conversation_id": "0610"
    }
  ]
}

import os
import json
import requests

os.environ["MEMOS_API_KEY"] = "YOUR_API_KEY"
os.environ["MEMOS_BASE_URL"] = "https://memos.memtensor.cn/api/openmem/v1"

# Headers and base URL
headers = {
  "Authorization": f"Token {os.environ['MEMOS_API_KEY']}",
  "Content-Type": "application/json"
}
BASE_URL = os.environ['MEMOS_BASE_URL']

# Directly ask for a user profile, as query
query_text = "What are my personal keywords?"

data = {
    "user_id": "memos_user_123",
    "query": query_text,
}

# Call /search/memory to retrieve relevant memories
res = requests.post(f"{BASE_URL}/search/memory", headers=headers, data=json.dumps(data))

print(f"result: {res.json()}")

# Example output (simplified for demonstration purposes)

{
  # Fact memories
  memory_detail_list [
    {
      "memory_key": "AI-Assisted Requests",
      "memory_value": "The user wants AI to help plan daily studies, recommend movies and books, and provide emotional companionship.",
      "conversation_id": "0610",
      "tags": [
        "help",
        "study plan",
        "recommend",
        "companionship"
      ]
    },
    {
      "memory_key": "Type of Help Wanted from AI",
      "memory_value": "The user wants AI to provide advice, information lookup, and inspiration.",
      "conversation_id": "0610",
      "tags": [
        "AI",
        "help",
        "type"
      ]
    }
  ]
}

import os
import json
import requests

os.environ["MEMOS_API_KEY"] = "YOUR_API_KEY"
os.environ["MEMOS_BASE_URL"] = "https://memos.memtensor.cn/api/openmem/v1"

# Headers and base URL
headers = {
  "Authorization": f"Token {os.environ['MEMOS_API_KEY']}",
  "Content-Type": "application/json"
}
BASE_URL = os.environ['MEMOS_BASE_URL']

query_text = "My yearly reading summary"

data = {
    "user_id": "memos_user_123",
    "query": query_text,
    "filter": {
        "and": [
            {"tags": {"contains": "reading"}}, # Tags extracted by MemOS
            {"create_time": {"gte": "2025-01-01"}}, # Memory creation time
            {"create_time": {"gte": "2025-12-31"}}, # Memory creation time
            {"info":{"scene":"chat"}} # Custom field set by developer when adding message
        ]
    } # Filter for all memories tagged "reading", created in 2025, in "chat" scene.
}

# Call /search/memory to retrieve relevant memories
res = requests.post(f"{BASE_URL}/search/memory", headers=headers, data=json.dumps(data))

print(f"result: {res.json()}")