Crawler Summary

crewai-travel-assistant answer-first brief

A fully local, privacy‑friendly AI travel assistant built with CrewAI 1.9 and powered by the Qwen2.5 model running through Ollama. The system uses four coordinated AI agents — Flight, Hotel, Tourism, and Advisor — to generate complete travel plans, including flight options, hotel recommendations, day‑by‑day itineraries, and travel advice. . ✈️ Travel CrewAI — Multi-Agent Travel Planner (Local Qwen Model) A fully local AI-powered travel planning assistant built with CrewAI 1.9, Python, and Ollama. This project uses a team of specialized AI agents to collaboratively create complete travel plans including flights, hotels, itineraries, and travel advice — all without relying on cloud APIs or paid services. Designed for developers, AI enthusiasts, and learne Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

crewai-travel-assistant 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

Agent DossierGITHUB REPOSSafety: 66/100

crewai-travel-assistant

A fully local, privacy‑friendly AI travel assistant built with CrewAI 1.9 and powered by the Qwen2.5 model running through Ollama. The system uses four coordinated AI agents — Flight, Hotel, Tourism, and Advisor — to generate complete travel plans, including flight options, hotel recommendations, day‑by‑day itineraries, and travel advice. . ✈️ Travel CrewAI — Multi-Agent Travel Planner (Local Qwen Model) A fully local AI-powered travel planning assistant built with CrewAI 1.9, Python, and Ollama. This project uses a team of specialized AI agents to collaboratively create complete travel plans including flights, hotels, itineraries, and travel advice — all without relying on cloud APIs or paid services. Designed for developers, AI enthusiasts, and learne

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Oct 9, 2026

Vendor

Narjesfarhat

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. 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

Narjesfarhat

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

Protocol compatibility

OpenClaw

contractmedium
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

0

Snippets

0

Languages

python

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 fully local, privacy‑friendly AI travel assistant built with CrewAI 1.9 and powered by the Qwen2.5 model running through Ollama. The system uses four coordinated AI agents — Flight, Hotel, Tourism, and Advisor — to generate complete travel plans, including flight options, hotel recommendations, day‑by‑day itineraries, and travel advice. . ✈️ Travel CrewAI — Multi-Agent Travel Planner (Local Qwen Model) A fully local AI-powered travel planning assistant built with CrewAI 1.9, Python, and Ollama. This project uses a team of specialized AI agents to collaboratively create complete travel plans including flights, hotels, itineraries, and travel advice — all without relying on cloud APIs or paid services. Designed for developers, AI enthusiasts, and learne

Full README

✈️ Travel CrewAI — Multi-Agent Travel Planner (Local Qwen Model) A fully local AI-powered travel planning assistant built with CrewAI 1.9, Python, and Ollama. This project uses a team of specialized AI agents to collaboratively create complete travel plans including flights, hotels, itineraries, and travel advice — all without relying on cloud APIs or paid services. Designed for developers, AI enthusiasts, and learners exploring multi-agent systems, this project demonstrates how autonomous agents can coordinate to solve real-world planning tasks entirely offline.

🚀 Key Features ✅ 100% Local AI Execution Run everything on your own machine using Ollama with local language models such as:

Qwen2.5 (recommended)

Llama 3.1

Other Ollama-supported models

✅ No API Keys Required No OpenAI keys, no external subscriptions, no cloud dependency. ✅ Multi-Agent Collaboration with CrewAI Four specialized agents work together: AgentRole🛫 Flight AgentFinds the best available flight options (demo dataset / mock search)🏨 Hotel AgentRecommends hotels based on budget and preferences🗺️ Tourism AgentBuilds a personalized day-by-day travel itinerary💡 Advisor AgentProvides visa tips, safety advice, local customs, and packing guidance ✅ Interactive CLI Experience Simple command-line interface for entering travel details and receiving a complete plan. ✅ Modular & Extendable Clean Python structure that can easily be upgraded with APIs, UI frontends, exports, and more.

🧠 Tech Stack

Python 3.10 – 3.12

CrewAI 1.9.x

crewai-tools

Ollama

Qwen2.5 / Llama 3.1

📦 Installation 1️⃣ Clone the Repository git clone https://github.com/YOUR_USERNAME/crewai-travel-assistant.gitcd crewai-travel-assistant

2️⃣ Create a Virtual Environment Windows python -m venv venvvenv\Scripts\activate macOS / Linux python3 -m venv venvsource venv/bin/activate

3️⃣ Install Dependencies pip install -r requirements.txt

🤖 Install & Run Local Model (Ollama) 1️⃣ Install Ollama Download and install: 👉 https://ollama.com/download

2️⃣ Pull a Model Recommended: ollama pull qwen2.5 Alternative: ollama pull llama3.1

3️⃣ Start Ollama ollama serve

⚙️ Configure the Model Open travel_crew.py and set: LLM_MODEL = "ollama/qwen2.5" Use the exact model name shown by: ollama list

▶️ Run the Application python travel_crew.py

💬 User Input Flow The assistant will ask for:

Departure city

Destination city

Departure date

Return date

Budget level

Number of travelers

Travel interests

Example: From: AmsterdamTo: TokyoDates: June 10 - June 20Budget: MediumTravelers: 2Interests: Food, culture, nature

📌 Example Output The AI agents collaborate to generate: ✈️ Best Flight Option Recommended route with estimated pricing. 🏨 Best Hotel Recommendation Hotel matched to budget and location. 🗺️ Personalized Itinerary Day-by-day travel schedule with activities. 💡 Smart Travel Advice

Visa requirements

Safety notes

Currency tips

Packing checklist

Cultural etiquette

📁 Project Structure crewai-travel-assistant/│── travel_crew.py│── requirements.txt│── README.md└── optional_assets/

📝 Notes

Runs fully offline after model download

No API keys required

Qwen2.5 recommended for stronger reasoning

Works on Windows, macOS, and Linux

Easily customizable for your own travel use cases

🔮 Future Enhancements Planned improvements:

Real-time flight API integration

Real hotel booking APIs

Interactive map support

Gradio / Streamlit web interface

PDF itinerary export

Multi-language support

Voice assistant mode

🤝 Contributing Contributions are welcome. If you'd like to improve this project:

Fork the repository

Create a feature branch

Submit a pull request

💛 Author Narjes AI Enthusiast • SEO Analyst • Multi-Agent Systems Learner

⭐ Support If you found this project useful:

Star the repository ⭐

Share it with others

Build your own version

📜 License This project is open-source and available under the MIT License.

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-narjesfarhat-crewai-travel-assistant/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-narjesfarhat-crewai-travel-assistant/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-narjesfarhat-crewai-travel-assistant/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.

Related Agents

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

Self-declaredprotocol-neighbors
Github ReposUpdated 13h agoRank 70

AionUi

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

MCPOPENCLAW
Github ReposUpdated 6mo agoRank 70

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

OPENCLAW
Github ReposUpdated 6mo agoRank 70

cherry-studio

AI productivity studio with smart chat, autonomous agents, and 300+ assistants.

MCPOPENCLAW
Github ReposUpdated 7mo agoRank 70

CopilotKit

The Frontend for Agents & Generative UI. React + Angular

OPENCLAW
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-narjesfarhat-crewai-travel-assistant/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-narjesfarhat-crewai-travel-assistant/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-narjesfarhat-crewai-travel-assistant/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-narjesfarhat-crewai-travel-assistant/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-narjesfarhat-crewai-travel-assistant/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-narjesfarhat-crewai-travel-assistant/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-10T07:41:32.087Z"
    }
  },
  "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": "Narjesfarhat",
    "href": "https://github.com/narjesfarhat/crewai-travel-assistant",
    "sourceUrl": "https://github.com/narjesfarhat/crewai-travel-assistant",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T22:27:20.964Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-narjesfarhat-crewai-travel-assistant/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-narjesfarhat-crewai-travel-assistant/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T22:27:20.964Z",
    "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-narjesfarhat-crewai-travel-assistant/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-narjesfarhat-crewai-travel-assistant/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 crewai-travel-assistant and adjacent AI workflows.