langgraph-architect

Create, modify, and manage agents in LangGraph projects including adding new agents to multi-agent systems

Create new LangGraph projects, agents, workflows, or multi-agent systems with configurable patterns and integrations

Deploy LangGraph agents to various platforms including LangGraph Platform, Cloud, Docker, and Kubernetes

Manage edges between nodes in LangGraph including regular edges, conditional edges, and dynamic routing

Integrate LangGraph agents with Model Context Protocol including exposing agents as MCP servers and consuming MCP tools

Setup, configure, and manage memory/checkpoint systems for LangGraph agents including persistence, migration, and cleanup

Create, modify, and manage nodes in LangGraph graphs including LLM nodes, tool nodes, human-in-the-loop, subgraphs, and conditional nodes

Test LangGraph agents including running tests, visualization, tracing, and interactive debugging

Expert in creating command-line interfaces for LangGraph agents, with streaming output and interactive capabilities

Expert in context engineering, prompt optimization, and token budget management for LangGraph agents

Expert in deploying LangGraph agents to production environments with proper scaling, monitoring, and reliability

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Master architect for designing StateGraph structures, workflows, and agent topologies

Expert in MCP integration - consuming MCP servers and exposing agents as MCP servers

Specialist in checkpointing, short-term/long-term memory, and persistence strategies

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Expert in LangGraph subgraph composition, modular design, and state management across graph boundaries

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