Anthropic

pip install memorer anthropic

from memorer import Memorer
from anthropic import Anthropic
 
# Initialize both clients
memorer = Memorer(api_key="mem_sk_...")
anthropic_client = Anthropic()
 
user = memorer.for_user("user-123")
 
def chat_with_memory(user_message: str) -> str:
    # 1. Recall relevant memories
    memories = user.recall(user_message)
 
    # 2. Build system prompt with memory context
    system_prompt = "You are a helpful assistant."
    if memories.context:
        system_prompt += f"\n\nWhat you know about this user:\n{memories.context}"
 
    # 3. Call Anthropic
    response = anthropic_client.messages.create(
        model="claude-sonnet-4-5-20250929",
        max_tokens=1024,
        system=system_prompt,
        messages=[
            {"role": "user", "content": user_message},
        ],
    )
    assistant_message = response.content[0].text
 
    # 4. Remember the exchange
    user.remember(f"User: {user_message}\nAssistant: {assistant_message}")
 
    return assistant_message

conv = user.conversation()
 
def chat_with_conversation(user_message: str) -> str:
    # Add user message
    conv.add("user", user_message)
 
    # Recall with conversation context + long-term memory
    result = conv.recall(user_message)
 
    # Call Anthropic with combined context
    response = anthropic_client.messages.create(
        model="claude-sonnet-4-5-20250929",
        max_tokens=1024,
        system=f"You are a helpful assistant.\n\n{result.context}",
        messages=[
            {"role": "user", "content": user_message},
        ],
    )
    assistant_message = response.content[0].text
 
    # Add assistant response to conversation
    conv.add("assistant", assistant_message)
 
    return assistant_message