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Langchain memory

Skill a5c-ai/babysitter/library/specializations/ai-agents-conversational/skills/langchain-memory

LangChain memory integration including ConversationBufferMemory, ConversationSummaryMemory, and vector-based memoryFrom its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill langchain-memory

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SKILL.md

1.6 KB, 209 tokens by cl100k_base, as published. Nobody here has run it

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)

What ships with it: 1 file

659 B alongside SKILL.md

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