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langgraph-agents

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Coordinated multi-agent workflows, cost-aware.

Software Engineering#workflow#mcp#orchestration#langgraph#cost-optimization#mult-agent
AuthorScientiaCapital
Version1.0.0
Installs0

System Documentation

What problem does it solve?

LangGraph enables teams to build and run production-grade multi-agent systems with supervisor, swarm, and master orchestration patterns, simplifying complex coordination and cost-aware routing.

Core Features & Use Cases

  • Centralized supervisor routing for deterministic task allocation across specialized agents.
  • Peer swarm orchestration for dynamic handoffs and parallel task execution.
  • Master orchestrator patterns for adaptive routing and learning-driven workflows.
  • MCP integration and multi-provider configuration to route tasks to Claude, DeepSeek, Gemini, or local models without OpenAI.
  • Context management, memory, and checkpointer strategies for resilient production deployments.

Quick Start

Load the langgraph-agents skill into your workflow and start orchestrating supervisor, swarm, and MCP patterns across providers.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: langgraph-agents
Download link: https://github.com/ScientiaCapital/skills/archive/main.zip#langgraph-agents

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
View Source Repository

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