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mediumperformance
LangChain: Memory Overflow in Long Conversations
Published 1/31/2024 • by OpenAgent.bot Team
Symptoms
Application slows down or crashes after extended conversations, high memory usage
Root Cause
Conversation history grows unbounded, exceeding available memory
Solution
- Implement conversation summarization:
from langchain.memory import ConversationSummaryMemory
memory = ConversationSummaryMemory(llm=llm)
- Or use a sliding window:
from langchain.memory import ConversationBufferWindowMemory
memory = ConversationBufferWindowMemory(k=5)
- Clear memory periodically for long-running sessions
Verification
Monitor memory usage during extended conversations. Memory should stabilize instead of growing linearly.
Tags
memoryperformancelangchain
Affected Components
memoryconversation