# Add memory to any agent
memory = Memory(api_key="YOUR_API_KEY")
agent = YourAgent(
    tools=[memory.remember, memory.recall]
)

# Agent remembers important context
user: "I prefer morning meetings and hate video calls"
agent: memory.remember("User prefers morning meetings, dislikes video calls")

# Later, agent uses that knowledge
user: "Schedule our sync"
agent: memory.recall("meeting preferences")
agent: "I'll schedule a morning audio call for you"

from agentmind import Memory

# 1. Initialize memory
memory = Memory(api_key="YOUR_API_KEY")

# 2. Give your agent memory tools
def remember_tool(content: str):
    """Agent decides what to store"""
    return memory.remember(content)

def recall_tool(query: str):
    """Agent searches its memory"""
    return memory.recall(query)

# 3. Let your agent handle the rest
agent = YourAgent(tools=[remember_tool, recall_tool])

import requests

# Chat with your agent via API
response = requests.post(
    "https://api.leedab.com/api/v1/agent/chat",
    headers={"Authorization": "Bearer am_live_your_key"},
    json={
        "message": "What do you know about my project?",
        "user_id": "customer_123",  # Segment memories per end-user
        "stream": False
    }
)

print(response.json()["response"])