langchain-memory ยท diff
git:20260507.44b06c0 to git:20260601.da7723a
58 added, 58 removed. Audit A to A.
- ---
- name: langchain-memory
- description: LangChain memory integration including ConversationBufferMemory, ConversationSummaryMemory, and vector-based memory
- allowed-tools:
- - Read
- - Write
- - Edit
- - Bash
- - Glob
- - Grep
- graph:
- domains: [domain:software-engineering]
- specializations: [specialization:ai-agents-conversational]
- skillAreas: [skill-area:context-management, skill-area:retrieval-augmented-generation]
- roles: [role:ml-engineer, role:backend-engineer]
- workflows: [workflow:feature-development, workflow:ml-model-lifecycle]
-
- ---
-
- # 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)
+ ---
+ name: langchain-memory
+ description: LangChain memory integration including ConversationBufferMemory, ConversationSummaryMemory, and vector-based memory
+ allowed-tools:
+ - Read
+ - Write
+ - Edit
+ - Bash
+ - Glob
+ - Grep
+ graph:
+ domains: [domain:software-engineering]
+ specializations: [specialization:ai-agents-conversational]
+ skillAreas: [skill-area:context-management, skill-area:retrieval-augmented-generation]
+ roles: [role:ml-engineer, role:backend-engineer]
+ workflows: [workflow:feature-development, workflow:ml-model-lifecycle]
+
+ ---
+
+ # 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)