Agent-Skills.md

Agent Skills: LangChain Memory Skill

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

UncategorizedID: a5c-ai/babysitter/langchain-memory

Repository

a5c-ai/babysitter
a5c-aiLicense: MIT
244

Install this agent skill to your local

pnpm dlx add-skill https://github.com/a5c-ai/babysitter/tree/HEAD/plugins/babysitter/skills/babysit/process/specializations/ai-agents-conversational/skills/langchain-memory

Skill Files

Browse the full folder contents for langchain-memory.

Download Skill

Loading file tree…

plugins/babysitter/skills/babysit/process/specializations/ai-agents-conversational/skills/langchain-memory/SKILL.md

Skill Metadata

Name
langchain-memory
Description
LangChain memory integration including ConversationBufferMemory, ConversationSummaryMemory, and vector-based memory

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)