langchain-memory | babysitter | ClaudePluginHub

Skill

Community

langchain-memory

From babysitter

411

Description

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

AI Summary

Integrates LangChain memory systems to maintain conversation context across interactions.

Install

1

Run in your terminal

$

npx claudepluginhub a5c-ai/babysitter

Tool Access

This skill is limited to using the following tools:

ReadWriteEditBashGlobGrep

Supporting Assets

View in Repository

README.md

Skill Content

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

ConversationBufferMemory: Stores full conversation history
ConversationBufferWindowMemory: Rolling window of recent messages
ConversationSummaryMemory: Summarizes older messages
ConversationSummaryBufferMemory: Hybrid approach
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)

Links

GitHub Stats

21 forks

Updated 1 month ago

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