LangChain & LangGraph Architecture
Skill Verified ActiveDesign LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.
Master modern LangChain 1.x and LangGraph for building sophisticated LLM applications with agents, state management, memory, and tool integration.
Features
- Design LLM applications with LangChain 1.x
- Implement AI agents using LangGraph
- Manage conversation memory and state
- Integrate LLMs with external data and APIs
- Utilize ReAct, Plan-and-Execute, and Multi-Agent patterns
Use Cases
- Building autonomous AI agents with tool access
- Implementing complex multi-step LLM workflows
- Managing conversation memory and state across sessions
- Creating modular and reusable LLM application components
Non-Goals
- This skill does not provide direct execution of code or agent workflows.
- It does not replace the need for users to have LangChain and LangGraph installed.
- It is focused on design and architecture, not on specific deployment strategies.
Workflow
- Understand core LangChain and LangGraph concepts.
- Explore different agent patterns (ReAct, Plan-and-Execute, Multi-Agent).
- Learn about state management and memory systems.
- Implement document processing pipelines and callback systems.
- Review code examples for practical application.
Installation
First, add the marketplace
/plugin marketplace add wshobson/agents/plugin install llm-application-dev@claude-code-workflowsQuality Score
VerifiedTrust Signals
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