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Multi_agent_travel
Built on LangGraph, this travel-planning multi-agent system features a self-correcting workflow with intent routing, parallel tool calls, and multi-round replanning. It uses MCP to unify heterogeneous APIs with transparent credibility marking, plus dual-path RAG for knowledge enhancement.
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Python
Quality signals
ActiveNo testsNo CIThin docsNo licenseNew
Install
Universal installANY TOOL
$ npx skillcity@latest Lxqjjjjjjjjjj/Multi_agent_travelAuto-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).
Prefer to set it up by hand? Clone the repository:
git clone https://github.com/Lxqjjjjjjjjjj/Multi_agent_travel.git
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Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
multi_agent_travel — 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