Multi-Agent-AI-Travel-Advisor — security grade SAFE, quality 71/100

Security audit verdict: SAFE · quality 71/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by kbhujbal · Agent Tool · ★ 57

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About Multi-Agent-AI-Travel-Advisor

🌍 Multi-Agent RAG Travel Planner A sophisticated AI travel planning system that uses multiple specialized agents working together to create comprehensive, personalized travel itineraries. Built with CrewAI and featuring RAG (Retrieval-Augmented Generation) for up-to-date travel information. 🎯 Features Multi-Agent Architecture: 7 specialized AI agents collaborate to plan your trip RAG Implementation: ChromaDB vector database for retrieving travel knowledge Real-time Tools: Flight, hotel, and activity search capabilities (mock APIs, ready for production integration) Comprehensive Planning: Covers flights, accommodations, activities, logistics, and cultural tips Natural Language Input: Describe your dream trip in plain English 🏗️ System Architecture Agents Travel Planning Manager (Orchestrator) Analyzes user requests and breaks them down Coordinates all other agents Ensures comprehensive coverage Flight Research Specialist Finds best flight options Compares prices, durations, and layovers Considers traveler preferences Accommodation Specialist Researches hotels and lodging Matches properties to budget and preferences Considers location and amenities Activities & Experiences...

agentic-aicrewaigenai-trip-coordinatoritinerary-plannerlangchain-pythonllm-agentmultiagent-systemsrag-pipelinereactjs

Quick Facts

Stars57
Forks10
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score70.5766375744793/100
Open Issues1
Last Updated2026-04-12
Created2025-11-04
Platformspython
Est. Tokens~18k

Compatible Skills

These tools work well together with Multi-Agent-AI-Travel-Advisor for enhanced workflows:

  • mengram — semantic(0.17)+complementary+shared_fw(crewai,langchain)+rare_topics+same_lang+similar_pop+shared_platform (76%)
  • agent-audit — semantic(0.17)+complementary+shared_fw(crewai,langchain)+rare_topics+same_lang+similar_pop+shared_platform (71%)
  • eval-view — semantic(0.16)+complementary+shared_fw(crewai)+rare_topics+same_lang+similar_pop+shared_platform (63%)

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Frequently Asked Questions

What is Multi-Agent-AI-Travel-Advisor?

Multi-Agent-AI-Travel-Advisor is AI travel planner with 7 specialized agents, RAG, and tool-calling. Built with CrewAI & LangChain. Generates personalized itineraries with flights, hotels, activities, and cultural tips. Production-re. It is categorized as a Agent Tool with 57 GitHub stars.

What programming language is Multi-Agent-AI-Travel-Advisor written in?

Multi-Agent-AI-Travel-Advisor is primarily written in Python. It covers topics such as agentic-ai, crewai, genai-trip-coordinator.

How do I install or use Multi-Agent-AI-Travel-Advisor?

You can find installation instructions and usage details in the Multi-Agent-AI-Travel-Advisor GitHub repository at github.com/kbhujbal/Multi-Agent-AI-Travel-Advisor. The project has 57 stars and 10 forks, indicating an active community.

What license does Multi-Agent-AI-Travel-Advisor use?

Multi-Agent-AI-Travel-Advisor is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to Multi-Agent-AI-Travel-Advisor?

The top alternatives to Multi-Agent-AI-Travel-Advisor on Agent Skills Hub include superagentx, wavefront, ai-agent-tools-catalog. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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