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multi-agent-architect - Design and optimize production-grade multi-agent systems.

Provides structured workflows to design, build, debug, and update multi-agent AI systems using LangGraph, LangChain, and DeepAgents.

Tags

Updated: 2026-09-24
multi-agentlanggraphlangchaindeepagentsfastapiredis

Capabilities

Design multi-agent system architecturesDefine typed agent state schemasBuild LangGraph state graph workflowsIntegrate Redis chat message memory

Typical Inputs

User goal specificationsSession identifiersEnvironment configuration variables

Typical Outputs

Compiled LangGraph state graph instancesMulti-agent Python codebase filesAgent execution result payload

What this skill does

  • Design multi-agent system architectures
  • Define typed agent state schemas
  • Build LangGraph state graph workflows
  • Integrate Redis chat message memory
  • Debug existing agent architecture issues
  • Expose agent workflows via FastAPI

Inputs

  • User goal specifications
  • Session identifiers
  • Environment configuration variables

Outputs

  • Compiled LangGraph state graph instances
  • Multi-agent Python codebase files
  • Agent execution result payload

Requirements

  • Python async runtime environment
  • LangGraph and LangChain packages
  • DeepAgents package
  • OpenAI API key
  • Redis server

Source

  • Spec: SKILL.md

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