Crawler Summary

travel-agent answer-first brief

A CrewAI-powered multi-agent system that helps users organize travel plans by finding transportation, accommodations, activities, and providing weather-based clothing advice, destination history, and comprehensive travel reports. ✈️ Travel Agent – AI-Powered Trip Planning Assistant **A CrewAI Multi-Agent system that helps travelers organize personalized travel plans by recommending transportation, hotels, clothing, activities, and more.** 📌 Overview Travel Agent is an **AI-driven travel planning assistant** built using **CrewAI Multi-Agent System**. It automates trip organization by finding the best **transportation, accommodations, activiti Capability contract not published. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

travel-agent is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB REPOS, runtime-metrics, public facts pack

Claim this agent
Agent DossierGITHUB REPOSSafety: 66/100

travel-agent

A CrewAI-powered multi-agent system that helps users organize travel plans by finding transportation, accommodations, activities, and providing weather-based clothing advice, destination history, and comprehensive travel reports. ✈️ Travel Agent – AI-Powered Trip Planning Assistant **A CrewAI Multi-Agent system that helps travelers organize personalized travel plans by recommending transportation, hotels, clothing, activities, and more.** 📌 Overview Travel Agent is an **AI-driven travel planning assistant** built using **CrewAI Multi-Agent System**. It automates trip organization by finding the best **transportation, accommodations, activiti

OpenClawself-declared

Public facts

5

Change events

1

Artifacts

0

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals2 GitHub stars

Capability contract not published. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 10/9/2026.

2 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Oct 9, 2026

Vendor

Mozartofcode

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 10/9/2026.

Setup snapshot

  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Mozartofcode

profilemedium
Observed Oct 9, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Oct 9, 2026Source linkProvenance
Adoption (1)

Adoption signal

2 GitHub stars

profilemedium
Observed Oct 9, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB REPOS

Extracted files

0

Examples

4

Snippets

0

Languages

python

Executable Examples

sh

git clone https://github.com/MozartofCode/travel-agent.git
cd travel-agent

sh

python -m venv venv
source venv/bin/activate  # On Windows, use 'venv\Scripts\activate'

sh

pip install -r requirements.txt

sh

python travel_agent.py

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

A CrewAI-powered multi-agent system that helps users organize travel plans by finding transportation, accommodations, activities, and providing weather-based clothing advice, destination history, and comprehensive travel reports. ✈️ Travel Agent – AI-Powered Trip Planning Assistant **A CrewAI Multi-Agent system that helps travelers organize personalized travel plans by recommending transportation, hotels, clothing, activities, and more.** 📌 Overview Travel Agent is an **AI-driven travel planning assistant** built using **CrewAI Multi-Agent System**. It automates trip organization by finding the best **transportation, accommodations, activiti

Full README

✈️ Travel Agent – AI-Powered Trip Planning Assistant

A CrewAI Multi-Agent system that helps travelers organize personalized travel plans by recommending transportation, hotels, clothing, activities, and more.

📌 Overview

Travel Agent is an AI-driven travel planning assistant built using CrewAI Multi-Agent System. It automates trip organization by finding the best transportation, accommodations, activities, and local attractions while also providing clothing recommendations based on the weather and a brief history of the destination. The system generates a comprehensive travel report tailored to the user’s preferences.

🔥 Key Features

✅ Personalized Transportation Search – Finds the best flights, trains, or driving options based on user input.
✅ Smart Hotel Recommendations – Suggests accommodations based on price, quality, and user preferences.
✅ Weather-Based Clothing Advice – Provides packing recommendations for the trip.
✅ Activity Finder – Generates personalized itineraries with:

  • 🎭 Museums & historic sites
  • 🍽️ Restaurants, bars, and coffee shops
  • 🌊 Unique activities (surfing, fishing, hiking, etc.)
    ✅ Destination Briefing – Provides a short history of the destination.
    ✅ Comprehensive Travel Report – Summarizes all findings into an easy-to-read document.

🏗️ Tech Stack

  • AI Framework: CrewAI (Multi-Agent System)
  • Programming Language: Python
  • APIs & External Data: Uses travel, weather, and accommodation APIs to retrieve real-time information
  • Data Processing: Pandas, NumPy
  • Report Generation: Markdown/PDF output for a detailed travel itinerary

🛠️ Installation & Setup

Clone the repository:

git clone https://github.com/MozartofCode/travel-agent.git
cd travel-agent

Set up a virtual environment (optional but recommended):

python -m venv venv
source venv/bin/activate  # On Windows, use 'venv\Scripts\activate'

Install dependencies:

pip install -r requirements.txt

Run the Travel Agent System:

python travel_agent.py

🎯 How It Works

1️⃣ User inputs trip details (destination, dates, budget, preferences).
2️⃣ The AI system finds transportation, hotels, and activities based on the user’s input.
3️⃣ It analyzes weather data and provides clothing recommendations.
4️⃣ It compiles a travel report, including a brief history of the location.

🚧 Future Enhancements

🔹 Real-Time Pricing & Booking Integration – Connect with APIs to fetch real-time prices and allow direct bookings.
🔹 AI Chatbot for Travel Planning – Add a conversational assistant for interactive trip planning.
🔹 Multi-User Support – Allow multiple travelers to plan a trip together.
🔹 Custom Travel Preferences – Enable users to specify dietary restrictions, activity levels, and interests.

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB REPOS

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/crewai-mozartofcode-travel-agent/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-mozartofcode-travel-agent/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-mozartofcode-travel-agent/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

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Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

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Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/crewai-mozartofcode-travel-agent/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-mozartofcode-travel-agent/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-mozartofcode-travel-agent/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-mozartofcode-travel-agent/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-mozartofcode-travel-agent/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-mozartofcode-travel-agent/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T17:48:09.345Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Mozartofcode",
    "href": "https://github.com/MozartofCode/travel-agent",
    "sourceUrl": "https://github.com/MozartofCode/travel-agent",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T10:15:31.965Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-mozartofcode-travel-agent/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-mozartofcode-travel-agent/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T10:15:31.965Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "2 GitHub stars",
    "href": "https://github.com/MozartofCode/travel-agent",
    "sourceUrl": "https://github.com/MozartofCode/travel-agent",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T10:15:31.965Z",
    "isPublic": true
  },
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-mozartofcode-travel-agent/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-mozartofcode-travel-agent/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

Sponsored

Ads related to travel-agent and adjacent AI workflows.