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langchain-memory

// LangChain memory integration including ConversationBufferMemory, ConversationSummaryMemory, and vector-based memory

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stars:384
forks:73
updated:March 4, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
namelangchain-memory
descriptionLangChain memory integration including ConversationBufferMemory, ConversationSummaryMemory, and vector-based memory
allowed-toolsRead,Write,Edit,Bash,Glob,Grep

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)