Habibullah5

Langgraph Multi Agent System — DevOps skill for Claude Code

DevOps community

A modular multi-agent AI system built with LangGraph, Anthropic Claude, and LangSmith featuring sequential handoffs, central supervisor orchestration, and live tool execution (Web Search, REPL, Docker.

How to install Langgraph Multi Agent System

This entry records only its repository, not the path inside it, so there is no exact command to give. Open Habibullah5/langgraph-multi-agent-system and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Langgraph Multi Agent System does

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README

🤖 Multi-Agent AI System with LangGraph & LangSmith

A scalable, production-ready multi-agent framework built with **LangGraph**, **Anthropic Claude**, and **LangSmith** for deep observability, structured tool routing, and agent collaboration.

🚀 Key Features

**Central Supervisor Orchestrator (`supervisor_agent.py`):**
- Uses a central router agent to dynamically assign tasks to specialized sub-agents (Researcher and Coder/Math).
- Structured output schema enforces reliable delegation and task completion handoffs.
**Sequential Multi-Agent Pipeline (`multi_agent.py`):**
- Autonomous Researcher Agent searches real-time web sources.
- Executive Writer Agent synthesizes raw data into structured, actionable reports.
**Autonomous Travel Planner (`travel_agent.py`):**
- Dynamic travel itinerary generator with live budget calculations and destination lookups.
**Tool Integrations:**
- Live Search: Tavily API with DuckDuckGo fallback (ddgs).
- Code Execution: Safe mathematical evaluation and Python execution.
- Docker Integration: Local container monitoring via the Docker SDK.
**Full Observability & Tracing:**
- Native LangSmith telemetry capturing token counts, latency profiles, and end-to-end execution graphs.