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multi-agent-system-using-langgraph
A complete LangGraph multi-agent system demo using SQL tools, Tavily search, MCP Toolbox, and OpenRouter models — with reproducible notebooks and a full supervisor-led agent workflow.
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Jupyter Notebook
agentic-aidata-engineeringhdblangchainlanggraphllmmcp-toolboxmulti-agentopenrouterpostgrespythonreact-agent
Quality signals
StaleNo testsNo CIThin docsNo licenseNew
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest seehiong/multi-agent-system-using-langgraphAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
uvx multi-agent-system-using-langgraph
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"multi-agent-system-using-langgraph": {
"command": "uvx",
"args": [
"multi-agent-system-using-langgraph"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
multi-agent-system-using-langgraph — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt