{"id":"4e5f723a-1f1c-4040-a49f-7eeb8046c7a3","entityType":"agent","slug":"crewai-alhumaidiab1-stack-travel-planner","name":"travel_planner","canonicalUrl":"https://www.xpersona.co/agent/crewai-alhumaidiab1-stack-travel-planner","canonicalPath":"/agent/crewai-alhumaidiab1-stack-travel-planner","generatedAt":"2026-10-09T19:59:23.609Z","source":"GITHUB_REPOS","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-09T15:56:32.837Z","emptyReason":null},"description":"Local AI-powered travel itinerary generator using CrewAI, Ollama, and ReportLab PDF export. ✈️ Smart Travel Itinerary Planner (Local AI) An autonomous multi-agent travel planning system built with **CrewAI**, **Ollama (llama3)**, and **ReportLab**. This tool generates structured day-by-day travel guides and budget breakdowns, exporting outputs in both Markdown (.md) and formatted PDF (.pdf) formats—running **100% locally** on your machine. --- ✈️ Smart Travel Itinerary Planner (Local AI) An autonomous multi","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.","installCommand":null,"sourceUrl":"https://github.com/alhumaidiab1-stack/travel_planner","homepage":null,"primaryLinks":[{"label":"View Source","url":"https://github.com/alhumaidiab1-stack/travel_planner","kind":"source"}],"safetyScore":66,"overallRank":20.6,"popularityScore":0,"trustScore":null,"claimedByName":null,"isOwner":false,"seoDescription":"Local AI-powered travel itinerary generator using CrewAI, Ollama, and ReportLab PDF export. ✈️ Smart Travel Itinerary Planner (Local AI) An autonomous multi-age"},"coverage":{"evidence":{"source":"public-profile","verified":false,"confidence":"medium","updatedAt":"2026-10-09T15:56:32.837Z","emptyReason":null},"protocols":[{"protocol":"OPENCLEW","label":"OpenClaw","status":"self-declared","notes":"Declared in the public agent profile."}],"capabilities":[{"label":"crewai","status":"self-declared"},{"label":"multi-agent","status":"self-declared"}],"verifiedCount":0,"selfDeclaredCount":3,"capabilityMatrix":{"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"}},"adoption":{"evidence":{"source":"no-adoption-signals","verified":false,"confidence":"low","updatedAt":"2026-10-09T15:56:32.837Z","emptyReason":"No source adoption metrics were available."},"stars":0,"forks":0,"downloads":null,"packageName":null,"latestVersion":null,"tractionLabel":null},"release":{"evidence":{"source":"agent-index","verified":false,"confidence":"medium","updatedAt":"2026-10-09T15:56:32.830Z","emptyReason":null},"lastUpdatedAt":"2026-10-09T15:56:32.837Z","lastCrawledAt":"2026-10-09T15:56:32.830Z","lastIndexedAt":null,"nextCrawlAt":"2026-10-16T15:56:32.830Z","lastVerifiedAt":null,"highlights":[]},"execution":{"evidence":{"source":"GITHUB REPOS","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No published capability contract is available yet."},"installCommand":null,"setupComplexity":"low","setupSteps":["Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.","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."],"contract":{"contractStatus":"missing","authModes":[],"requires":[],"forbidden":[],"supportsMcp":false,"supportsA2a":false,"supportsStreaming":false,"inputSchemaRef":null,"outputSchemaRef":null,"dataRegion":null,"contractUpdatedAt":null,"sourceUpdatedAt":null,"freshnessSeconds":null},"invocationGuide":{"preferredApi":{"snapshotUrl":"https://www.xpersona.co/api/v1/agents/crewai-alhumaidiab1-stack-travel-planner/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/crewai-alhumaidiab1-stack-travel-planner/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/crewai-alhumaidiab1-stack-travel-planner/trust"},"curlExamples":["curl -s \"https://www.xpersona.co/api/v1/agents/crewai-alhumaidiab1-stack-travel-planner/snapshot\"","curl -s \"https://www.xpersona.co/api/v1/agents/crewai-alhumaidiab1-stack-travel-planner/contract\"","curl -s \"https://www.xpersona.co/api/v1/agents/crewai-alhumaidiab1-stack-travel-planner/trust\""],"jsonRequestTemplate":{"query":"summarize this repo","constraints":{"maxLatencyMs":2000,"protocolPreference":["OPENCLEW"]}},"jsonResponseTemplate":{"ok":true,"result":{"summary":"...","confidence":0.9},"meta":{"source":"GITHUB_REPOS","generatedAt":"2026-10-09T19:59:23.608Z"}},"retryPolicy":{"maxAttempts":3,"backoffMs":[500,1500,3500],"retryableConditions":["HTTP_429","HTTP_503","NETWORK_TIMEOUT"]}},"endpoints":{"dossierUrl":"https://www.xpersona.co/api/v1/agents/crewai-alhumaidiab1-stack-travel-planner/dossier","snapshotUrl":"https://www.xpersona.co/api/v1/agents/crewai-alhumaidiab1-stack-travel-planner/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/crewai-alhumaidiab1-stack-travel-planner/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/crewai-alhumaidiab1-stack-travel-planner/trust"}},"reliability":{"evidence":{"source":"runtime-metrics","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No trust, reliability, or runtime telemetry is available."},"trust":{"status":"unavailable","handshakeStatus":"UNKNOWN","verificationFreshnessHours":null,"reputationScore":null,"p95LatencyMs":null,"successRate30d":null,"fallbackRate":null,"attempts30d":null,"trustUpdatedAt":null,"trustConfidence":"unknown","sourceUpdatedAt":null,"freshnessSeconds":null},"decisionGuardrails":{"doNotUseIf":["Contract metadata is missing or unavailable for deterministic execution."],"safeUseWhen":[],"riskFlags":["missing_or_unavailable_contract","trust_data_unavailable","schema_references_missing"],"operationalConfidence":"low"},"executionMetrics":{"observedLatencyMsP50":null,"observedLatencyMsP95":null,"estimatedCostUsd":null,"uptime30d":null,"rateLimitRpm":null,"rateLimitBurst":null,"lastVerifiedAt":null,"verificationSource":null},"runtimeMetrics":{"successRate":null,"avgLatencyMs":null,"avgCostUsd":null,"hallucinationRate":null,"retryRate":null,"disputeRate":null,"p50Latency":null,"p95Latency":null,"lastUpdated":null}},"benchmarks":{"evidence":{"source":"no-benchmark-data","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No benchmark suites or observed failure patterns are available."},"suites":[],"failurePatterns":[]},"artifacts":{"evidence":{"source":"GITHUB REPOS","verified":false,"confidence":"high","updatedAt":"2026-10-09T15:56:32.837Z","emptyReason":null},"readme":"# ✈️ Smart Travel Itinerary Planner (Local AI)\n\nAn autonomous multi-agent travel planning system built with **CrewAI**, **Ollama (`llama3`)**, and **ReportLab**. This tool generates structured day-by-day travel guides and budget breakdowns, exporting outputs in both Markdown (`.md`) and formatted PDF (`.pdf`) formats—running **100% locally** on your machine.\n\n---\n\n# ✈️ Smart Travel Itinerary Planner (Local AI)\n\nAn autonomous multi-agent travel planning system built with **CrewAI**, **Ollama (`llama3`)**, and **ReportLab**. This tool generates structured day-by-day travel guides and budget breakdowns, exporting outputs in both Markdown (`.md`) and formatted PDF (`.pdf`) formats—running **100% locally** on your machine.\n\n---\n\n## 📌 Executive Summary & Problem Statement\n\n* **The Problem:** Planning travel itineraries manually requires hours of cross-referencing maps, attractions, restaurant guides, and transportation options. Additionally, web search services often expose user travel preferences and location data to cloud advertising profiles.\n* **The Solution:** A 2-agent local AI workflow running on Ollama that ingests destination parameters and generates a fully optimized, realistic day-by-day travel plan with local PDF export—keeping all personal travel data completely private.\n\n---\n\n## 🤖 Agent Architecture & System Design\n\n```text\n+------------------------------------+          +--------------------------------------+\n|       Destination Researcher       |          |         Itinerary Architect          |\n|  (Culture & Sights Specialist)     |          |   (Senior Logistics & Travel Planner) |\n| - Sights, food & cultural guidelines|          | - Day-by-day morning/pm schedules   |\n| - Weather patterns & safety tips   |          | - Geographic grouping of attractions |\n+------------------------------------+          +--------------------------------------+\n                  |                                                |\n                  v                                                v\n    Raw Research Synthesis                                 Formatted .md & .pdf Output\n\n\n\n### Agent Breakdown\n\n| Agent | Core Persona | Operational Goal | Primary Output |\n| :--- | :--- | :--- | :--- |\n| **Destination Researcher** | Lead Culture & Sights Specialist | Discovers iconic landmarks, authentic local dishes, and cultural safety guidelines. | Unstructured destination research synthesis. |\n| **Itinerary Architect** | Senior Logistics & Travel Planner | Groups research geographically, creates time blocks, and constructs daily budget estimates. | Formatted `.md` and `.pdf` travel guides. |\n\n---\n\n## ✨ Core Features & Key Advantages\n\n* 🗺️ **Geographic Optimization:** Groups nearby attractions together per day to minimize travel time and burnout.\n* 🛡️ **Complete Data Privacy:** Runs locally via Ollama; no personal vacation schedules, dates, or financial data are uploaded to cloud APIs.\n* ⚙️ **Dynamic Inputs:** Interactively accepts destination, duration (days), travel style, and budget preferences directly from terminal prompts.\n* 📄 **Automated PDF Exporter:** Generates formatted PDF documents complete with custom styling and dynamic page numbering (`1 / 2`).\n\n---\n  \n####\n\n  \n## 📂 Project Structure\n\n```text\ntravel_planner/\n├── src/\n│   └── travel_planner/\n│       ├── config/\n│       │   ├── agents.yaml       # Agent definitions & roles\n│       │   └── tasks.yaml        # Task sequence definitions\n│       ├── tools/\n│       │   └── pdf_exporter.py   # ReportLab PDF generation engine\n│       ├── crew.py               # CrewAI workflow initialization\n│       └── main.py               # Interactive CLI entry point\n├── .gitignore                    # Excluded cache & generated outputs\n├── pyproject.toml                # Dependencies and build settings\n└── README.md                     # Project documentation\n\n","readmeExcerpt":"✈️ Smart Travel Itinerary Planner (Local AI) An autonomous multi-agent travel planning system built with **CrewAI**, **Ollama (llama3)**, and **ReportLab**. This tool generates structured day-by-day travel guides and budget breakdowns, exporting outputs in both Markdown (.md) and formatted PDF (.pdf) formats—running **100% locally** on your machine. --- ✈️ Smart Travel Itinerary Planner (Local AI) An autonomous multi","codeSnippets":[],"executableExamples":[{"language":"text","snippet":"+------------------------------------+          +--------------------------------------+\n|       Destination Researcher       |          |         Itinerary Architect          |\n|  (Culture & Sights Specialist)     |          |   (Senior Logistics & Travel Planner) |\n| - Sights, food & cultural guidelines|          | - Day-by-day morning/pm schedules   |\n| - Weather patterns & safety tips   |          | - Geographic grouping of attractions |\n+------------------------------------+          +--------------------------------------+\n                  |                                                |\n                  v                                                v\n    Raw Research Synthesis                                 Formatted .md & .pdf Output\n\n\n\n### Agent Breakdown\n\n| Agent | Core Persona | Operational Goal | Primary Output |\n| :--- | :--- | :--- | :--- |\n| **Destination Researcher** | Lead Culture & Sights Specialist | Discovers iconic landmarks, authentic local dishes, and cultural safety guidelines. | Unstructured destination research synthesis. |\n| **Itinerary Architect** | Senior Logistics & Travel Planner | Groups research geographically, creates time blocks, and constructs daily budget estimates. | Formatted `.md` and `.pdf` travel guides. |\n\n---\n\n## ✨ Core Features & Key Advantages\n\n* 🗺️ **Geographic Optimization:** Groups nearby attractions together per day to minimize travel time and burnout.\n* 🛡️ **Complete Data Privacy:** Runs locally via Ollama; no personal vacation schedules, dates, or financial data are uploaded to cloud APIs.\n* ⚙️ **Dynamic Inputs:** Interactively accepts destination, duration (days), travel style, and budget preferences directly from terminal prompts.\n* 📄 **Automated PDF Exporter:** Generates formatted PDF documents complete with custom styling and dynamic page numbering (`1 / 2`).\n\n---\n  \n####\n\n  \n## 📂 Project Structure"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[],"languages":["python"],"docsSourceLabel":"GITHUB REPOS","editorialOverview":"Local AI-powered travel itinerary generator using CrewAI, Ollama, and ReportLab PDF export. ✈️ Smart Travel Itinerary Planner (Local AI) An autonomous multi-agent travel planning system built with **CrewAI**, **Ollama (llama3)**, and **ReportLab**. This tool generates structured day-by-day travel guides and budget breakdowns, exporting outputs in both Markdown (.md) and formatted PDF (.pdf) formats—running **100% locally** on your machine. --- ✈️ Smart Travel Itinerary Planner (Local AI) An autonomous multi","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":374,"uniquenessScore":66,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-09T15:56:32.837Z","emptyReason":"No screenshots, media assets, or demo links are available."},"primaryImageUrl":null,"mediaAssetCount":0,"assets":[],"demoUrl":null},"ownerResources":{"evidence":{"source":"unclaimed","verified":false,"confidence":"low","updatedAt":"2026-10-09T15:56:32.837Z","emptyReason":"This page has not been claimed by the agent owner."},"hasCustomPage":false,"customPageUpdatedAt":null,"customLinks":[],"structuredLinks":{"docsUrl":null,"demoUrl":null,"supportUrl":null,"pricingUrl":null,"statusUrl":null},"customPage":null},"relatedAgents":{"evidence":{"source":"protocol-neighbors","verified":false,"confidence":"medium","updatedAt":"2026-10-09T19:59:23.609Z","emptyReason":null},"items":[{"id":"8ebccd8e-3863-4187-8355-c3f14e1f9edf","entityType":"agent","canonicalPath":"/agent/iofficeai-aionui","slug":"iofficeai-aionui","name":"AionUi","description":"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!","url":"https://github.com/iOfficeAI/AionUi","homepage":"https://www.aionui.com","source":"GITHUB_REPOS","protocols":["MCP","OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-10-09T19:11:12.944Z","createdAt":"2026-02-25T03:38:16.584Z","downloads":null},{"id":"b917f68a-ebff-438e-84f8-3f4b2494c0bc","entityType":"agent","canonicalPath":"/agent/activepieces-activepieces","slug":"activepieces-activepieces","name":"activepieces","description":"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","url":"https://github.com/activepieces/activepieces","homepage":"https://www.activepieces.com","source":"GITHUB_REPOS","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-04-15T02:22:12.426Z","createdAt":"2026-02-25T03:38:12.412Z","downloads":null},{"id":"5cb26759-3a39-483f-94cf-276a98c13bb8","entityType":"agent","canonicalPath":"/agent/cherryhq-cherry-studio","slug":"cherryhq-cherry-studio","name":"cherry-studio","description":"AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs","url":"https://github.com/CherryHQ/cherry-studio","homepage":"https://cherry-ai.com","source":"GITHUB_REPOS","protocols":["MCP","OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-04-11T14:38:40.986Z","createdAt":"2026-02-25T03:38:19.379Z","downloads":null},{"id":"6f6582d0-5d76-4f0f-b81d-86520247950b","entityType":"agent","canonicalPath":"/agent/copilotkit-copilotkit","slug":"copilotkit-copilotkit","name":"CopilotKit","description":"The Frontend for Agents & Generative UI. React + Angular","url":"https://github.com/CopilotKit/CopilotKit","homepage":"https://docs.copilotkit.ai","source":"GITHUB_REPOS","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-03-25T09:50:57.846Z","createdAt":"2026-02-25T03:39:14.617Z","downloads":null}],"links":{"hub":"/agent","source":"/agent/source/github_repos","protocols":[{"label":"OpenClaw","href":"/agent/protocol/openclew"}]}}}