Code & Development · GitHub ·6 ★

langgraph_multi_agent_ai_travel_agent

A state-of-the-art multi-agent travel planning system built with LangGraph, Google Gemini Flash-2.0, and DuckDuckGo Search. The system offers three different planning approaches, from traditional single-agent to cutting-edge multi-agent collaboration using modern industry frameworks.

Details

Author
abh2050
Category
Code & Development
Platform
GitHub
Framework
langchain
Language
python
Stars
6
First indexed
2026-05-15
Last active
2025-06-20
Directory sync
2026-05-15

Overview

A state-of-the-art multi-agent travel planning system built with LangGraph, Google Gemini Flash-2.0, and DuckDuckGo Search. The system offers three different planning approaches, from traditional single-agent to cutting-edge multi-agent collaboration using modern industry frameworks.

Quick start

git

git clone https://github.com/abh2050/langgraph_multi_agent_ai_travel_agent

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What langgraph_multi_agent_ai_travel_agent can do

  • Framework — framework task automation.
  • Api — api task automation.
  • Hr — Handles people operations such as hiring and policy Q&A.
  • Travel — travel task automation.

Frequently asked questions

What is langgraph_multi_agent_ai_travel_agent?
A state-of-the-art multi-agent travel planning system built with LangGraph, Google Gemini Flash-2.0, and DuckDuckGo Search. The system offers three different planning approaches, from traditional single-agent to cutting-edge multi-agent collaboration using modern industry frameworks.
How do I install langgraph_multi_agent_ai_travel_agent?
Use git: `git clone https://github.com/abh2050/langgraph_multi_agent_ai_travel_agent`. Full setup details on the source page linked above.
Is langgraph_multi_agent_ai_travel_agent open source?
langgraph_multi_agent_ai_travel_agent is published on GitHub.
What are alternatives to langgraph_multi_agent_ai_travel_agent?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for langgraph_multi_agent_ai_travel_agent is sourced from GitHub, published by abh2050.

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