一种专为AI代理设计的内存层，能够在交互过程中记忆、学习和进化

pip install mem0ai

npm install mem0ai

import os
from mem0 import MemoryClient

os.environ["MEM0_API_KEY"] = "your-api-key"

client = MemoryClient()

messages = [
    {"role": "user", "content": "Thinking of making a sandwich. What do you recommend?"},
    {"role": "assistant", "content": "How about adding some cheese for extra flavor?"},
    {"role": "user", "content": "Actually, I don't like cheese."},
    {"role": "assistant", "content": "I'll remember that you don't like cheese for future recommendations."}
]
client.add(messages, user_id="alex")

# Example showing location and preference-aware recommendations
query = "I'm craving some pizza. Any recommendations?"
filters = {
    "AND": [
        {
            "user_id": "alex"
        }
    ]
}
client.search(query, version="v2", filters=filters)

filters = {
   "AND": [
      {
         "user_id": "alex"
      }
   ]
}

all_memories = client.get_all(version="v2", filters=filters, page=1, page_size=50)

pip install mem0ai

npm install mem0ai

from mem0 import Memory
m = Memory()

# For a user
messages = [
    {
        "role": "user",
        "content": "I like to drink coffee in the morning and go for a walk"
    }
]
result = m.add(messages, user_id="alice", metadata={"category": "preferences"})

related_memories = m.search("Should I drink coffee or tea?", user_id="alice")