Rank
70
AI Agents & MCPs & AI Workflow Automation β’ (~400 MCP servers for AI agents) β’ AI Automation / AI Agent with MCPs β’ AI Workflows & AI Agents β’ MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Crawler Summary
AI-powered travel planner built with CrewAI, Streamlit, and Ollama LLM. Generates personalized itineraries using multi-agent collaboration, real-time web search, and a user-friendly interface. βοΈ AI-Powered Trip Planner An intelligent travel planning app built with **CrewAI**, **Streamlit**, and **Ollama LLM**, designed to generate personalized travel itineraries based on user preferences. --- π Features - π§ **AI-Powered Planning**: Multi-agent system (Location, Guide, Planner Experts) for holistic travel insights - πΊοΈ **Comprehensive Itineraries**: Covers accommodations, transport, food, events, and bu Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 2/25/2026.
Freshness
Last checked 2/25/2026
Best For
Trip-Planner-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
AI-powered travel planner built with CrewAI, Streamlit, and Ollama LLM. Generates personalized itineraries using multi-agent collaboration, real-time web search, and a user-friendly interface. βοΈ AI-Powered Trip Planner An intelligent travel planning app built with **CrewAI**, **Streamlit**, and **Ollama LLM**, designed to generate personalized travel itineraries based on user preferences. --- π Features - π§ **AI-Powered Planning**: Multi-agent system (Location, Guide, Planner Experts) for holistic travel insights - πΊοΈ **Comprehensive Itineraries**: Covers accommodations, transport, food, events, and bu
Public facts
5
Change events
1
Artifacts
0
Freshness
Feb 25, 2026
Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 2/25/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 25, 2026
Vendor
Brijeshrakhasiya
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 2/25/2026.
Setup snapshot
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.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Brijeshrakhasiya
Protocol compatibility
OpenClaw
Adoption signal
1 GitHub stars
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
5
Snippets
0
Languages
python
bash
ollama pull llama3.2 ### Setup - Clone the repo
text
- Install dependencies
text
- Start Ollama
text
## Usage 1. Run the Streamlit application:
text
2. Open your browser to the provided local URL (typically http://localhost:8501) 3. Fill in the travel details: - From City - Destination City - Departure Date - Return Date - Interests (e.g., sightseeing, food, adventure) 4. Click "Generate Travel Plan" and wait for the AI to create your personalized itinerary 5. Download the travel plan as a text file ## Dependencies - `crewai`: Multi-agent AI framework - `crewai_tools`: Additional tools for CrewAI - `langchain`: LLM framework integration - `langchain_community`: Community tools for LangChain - `langchain-ollama`: Ollama integration for LangChain - `duckduckgo-search`: Web search functionality - `langchain-google-genai`: Google Generative AI integration (optional) - `streamlit`: Web application framework ## Project Structure
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB REPOS
Editorial quality
ready
AI-powered travel planner built with CrewAI, Streamlit, and Ollama LLM. Generates personalized itineraries using multi-agent collaboration, real-time web search, and a user-friendly interface. βοΈ AI-Powered Trip Planner An intelligent travel planning app built with **CrewAI**, **Streamlit**, and **Ollama LLM**, designed to generate personalized travel itineraries based on user preferences. --- π Features - π§ **AI-Powered Planning**: Multi-agent system (Location, Guide, Planner Experts) for holistic travel insights - πΊοΈ **Comprehensive Itineraries**: Covers accommodations, transport, food, events, and bu
An intelligent travel planning app built with CrewAI, Streamlit, and Ollama LLM, designed to generate personalized travel itineraries based on user preferences.
Three specialized AI agents collaborate to deliver a complete travel plan:
| Agent | Role | |------------------|----------------------------------------------------------------------| | π¨ Location Expert | Manages logistics: visas, weather, transport, accommodation, costs | | π― Guide Expert | Recommends attractions, food, and activities based on interests | | π Planner Expert | Compiles all data into a structured, day-by-day itinerary |
ollama pull llama3.2
git clone https://github.com/BrijeshRakhasiya/Trip-Planner-Agent.git
pip install -r requirements.txt
ollama serve
ollama pull llama3.2
Run the Streamlit application:
streamlit run app.py
Open your browser to the provided local URL (typically http://localhost:8501)
Fill in the travel details:
Click "Generate Travel Plan" and wait for the AI to create your personalized itinerary
Download the travel plan as a text file
crewai: Multi-agent AI frameworkcrewai_tools: Additional tools for CrewAIlangchain: LLM framework integrationlangchain_community: Community tools for LangChainlangchain-ollama: Ollama integration for LangChainduckduckgo-search: Web search functionalitylangchain-google-genai: Google Generative AI integration (optional)streamlit: Web application frameworkβββ app.py # Main Streamlit application
βββ TravelAgents.py # AI agent definitions
βββ TravelTasks.py # Task definitions for agents
βββ TravelTools.py # Custom tools (web search)
βββ requirements.txt # Python dependencies
βββ output/ # Generated travel plans
β βββ Travel_Plan_Rome.txt # Sample output
βββ git_assets/ # UI screenshots
β βββ 1.png
β βββ 2.png
β βββ 3.png
βββ __pycache__/ # Python bytecode cache



See output/Travel_Plan_Rome.txt for a sample travel plan generated for Rome, focusing on accommodation recommendations.
The application uses the following configurations:
This project is licensed under the MIT License - see the LICENSE file for details.
Brijesh Rakhasiya
AI/ML Engineer Β· Data Scientist Β· Problem Solver
π¨βπ» Developed by Brijesh Rakhasiya
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/crewai-brijeshrakhasiya-trip-planner-agent/snapshot"
curl -s "https://xpersona.co/api/v1/agents/crewai-brijeshrakhasiya-trip-planner-agent/contract"
curl -s "https://xpersona.co/api/v1/agents/crewai-brijeshrakhasiya-trip-planner-agent/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
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
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
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Rank
70
AI Agents & MCPs & AI Workflow Automation β’ (~400 MCP servers for AI agents) β’ AI Automation / AI Agent with MCPs β’ AI Workflows & AI Agents β’ MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Rank
70
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Freshness
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Freshness
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Traction
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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://xpersona.co/api/v1/agents/crewai-brijeshrakhasiya-trip-planner-agent/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/crewai-brijeshrakhasiya-trip-planner-agent/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/crewai-brijeshrakhasiya-trip-planner-agent/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/crewai-brijeshrakhasiya-trip-planner-agent/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/crewai-brijeshrakhasiya-trip-planner-agent/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/crewai-brijeshrakhasiya-trip-planner-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": "2026-04-17T00:04:38.033Z"
}
},
"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": "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": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Brijeshrakhasiya",
"href": "https://github.com/BrijeshRakhasiya/Trip-Planner-Agent",
"sourceUrl": "https://github.com/BrijeshRakhasiya/Trip-Planner-Agent",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-25T05:06:48.233Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/crewai-brijeshrakhasiya-trip-planner-agent/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/crewai-brijeshrakhasiya-trip-planner-agent/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-02-25T05:06:48.233Z",
"isPublic": true
},
{
"factKey": "traction",
"category": "adoption",
"label": "Adoption signal",
"value": "1 GitHub stars",
"href": "https://github.com/BrijeshRakhasiya/Trip-Planner-Agent",
"sourceUrl": "https://github.com/BrijeshRakhasiya/Trip-Planner-Agent",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-25T05:06:48.233Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/crewai-brijeshrakhasiya-trip-planner-agent/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/crewai-brijeshrakhasiya-trip-planner-agent/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub Β· 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 Trip-Planner-Agent and adjacent AI workflows.