ReddRadar
Agent skill
langchain-memory
LangChain memory integration including ConversationBufferMemory, ConversationSummaryMemory, and vector-based memory
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/ai-agents-conversational/skills/langchain-memory
SKILL.md
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)
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
a5c-ai/babysitter
gsd-tools
Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).
a5c-ai/babysitter
model-profile-resolution
Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.
a5c-ai/babysitter
verification-suite
Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.
a5c-ai/babysitter
state-management
STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.
a5c-ai/babysitter
git-integration
Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations.
a5c-ai/babysitter
frontmatter-parsing
YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.
Didn't find tool you were looking for?