​
Code

cookbook/agent_concepts/memory/mongodb_memory.py
"""
此示例演示如何将 Memory 类与 MongoDB 存储一起使用。
"""

import asyncio
import os

from agno.agent.agent import Agent
from agno.memory.v2.db.mongodb import MongoMemoryDb
from agno.memory.v2.memory import Memory
from agno.models.openai.chat import OpenAIChat

# 从环境变量获取 MongoDB 连接字符串
# 格式: mongodb://username:password@localhost:27017/
mongo_url = "mongodb://localhost:27017/"
database_name = "agno_memory"

# 创建 MongoDB 内存数据库
memory_db = MongoMemoryDb(
    connection_string=mongo_url,
    database_name=database_name,
    collection_name="memories"  # 在数据库中使用的集合名称
)

# 创建带有 MongoDB 后端的内存实例
memory = Memory(db=memory_db)

# 如果集合不存在，它将在此创建
memory.clear()

# 创建带有内存的代理
agent = Agent(
    model=OpenAIChat(id="gpt-4o"),
    memory=memory,
    enable_user_memories=True,
)

async def run_example():
    # 使用带有 MongoDB 支持的内存的代理
    await agent.aprint_response(
        "My name is Jane Smith and I enjoy painting and photography.",
        user_id="jane@example.com",
    )
    
    await agent.aprint_response(
        "What are my creative interests?",
        user_id="jane@example.com",
    )
    
    # 显示存储在 MongoDB 中的记忆
    memories = memory.get_user_memories(user_id="jane@example.com")
    print("Memories stored in MongoDB:")
    for i, m in enumerate(memories):
        print(f"{i}: {m.memory}")

if __name__ == "__main__":
    asyncio.run(run_example())

​
Usage

1

创建虚拟环境

打开 Terminal 并创建一个 python 虚拟环境。

python3 -m venv .venv
source .venv/bin/activate
2

设置环境变量

export OPENAI_API_KEY=xxx
3

安装库

pip install -U agno openai pymongo
4

运行示例

python၃ cookbook/agent_concepts/memory/mongodb_memory.py