LangChain Memory Skill

Capabilities

• Implement various LangChain memory types
• Configure ConversationBufferMemory for short-term recall
• Set up ConversationSummaryMemory for long conversations
• Integrate vector-based memory for semantic search
• Design memory retrieval strategies
• Handle memory persistence and serialization

Target Processes

• conversational-memory-system
• chatbot-design-implementation

Implementation Details

Memory Types

1. ConversationBufferMemory: Stores full conversation history
2. ConversationBufferWindowMemory: Rolling window of recent messages
3. ConversationSummaryMemory: Summarizes older messages
4. ConversationSummaryBufferMemory: Hybrid approach
5. VectorStoreRetrieverMemory: Semantic similarity-based retrieval

Configuration Options

• Memory key naming conventions
• Return message format (string vs messages)
• Summary LLM selection
• Vector store backend selection
• Token limits and window sizes

Dependencies

• langchain
• langchain-community
• Vector store client (optional)