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IntegrationsOverview

Integrations

Memorer works with any AI framework. These guides show the recommended pattern for adding persistent memory to your existing applications.

Available guides

FrameworkDescription
OpenAIUsage pattern with the OpenAI Python SDK
AnthropicUsage pattern with the Anthropic Python SDK
LangChainUsage pattern with the LangChain framework

How it works

The pattern is the same for any framework:

  1. Before the LLM call — use recall() to get relevant memories and inject them as system prompt context
  2. After the LLM call — use remember() to store the conversation exchange as new memories
from memorer import Memorer
 
client = Memorer(api_key="mem_sk_...")
user = client.for_user("user-123")
 
# 1. Recall relevant memories
results = user.recall(user_message)
 
# 2. Inject into system prompt
system_prompt = f"You are a helpful assistant.\n\nUser context:\n{results.context}"
 
# 3. Call your LLM (OpenAI, Anthropic, etc.)
response = call_your_llm(system_prompt, user_message)
 
# 4. Remember the exchange
user.remember(f"User: {user_message}\nAssistant: {response}")
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