Xpersona

Crawler Summary

crew-runner-ai answer-first brief

crewAI crew generator and runner CrewRunner AI 🤖 **Intelligent Multi-Agent Automation Platform** CrewRunner AI is a powerful web application that enables you to create, configure, and execute teams of specialized AI agents that collaborate to solve complex tasks. Inspired by the $1, this application brings intelligent multi-agent automation to the web with an intuitive interface for content creation, data analysis, and workflow automation. ✨ Featur 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

crew-runner-ai 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

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGITHUB REPOSSafety: 66/100

crew-runner-ai

crewAI crew generator and runner CrewRunner AI 🤖 **Intelligent Multi-Agent Automation Platform** CrewRunner AI is a powerful web application that enables you to create, configure, and execute teams of specialized AI agents that collaborate to solve complex tasks. Inspired by the $1, this application brings intelligent multi-agent automation to the web with an intuitive interface for content creation, data analysis, and workflow automation. ✨ Featur

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

Lalomorales22

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Unpublished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.

View Source

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

Lalomorales22

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

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

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

Self-declaredGITHUB REPOS

Extracted files

0

Examples

6

Snippets

0

Languages

python

Executable Examples

bash

git clone https://github.com/lalomorales22/crew-runner-ai.git
   cd crew-runner-ai

bash

npm install

bash

cp .env.template .env

env

VITE_GROQ_API_KEY=your_groq_api_key_here
   VITE_TAVILY_API_KEY=your_tavily_api_key_here

bash

npm run dev

bash

# Start development server
npm run dev

# Build for production
npm run build

# Preview production build
npm run preview

# Run linting
npm run lint

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

crewAI crew generator and runner CrewRunner AI 🤖 **Intelligent Multi-Agent Automation Platform** CrewRunner AI is a powerful web application that enables you to create, configure, and execute teams of specialized AI agents that collaborate to solve complex tasks. Inspired by the $1, this application brings intelligent multi-agent automation to the web with an intuitive interface for content creation, data analysis, and workflow automation. ✨ Featur

Full README

CrewRunner AI 🤖

Intelligent Multi-Agent Automation Platform

CrewRunner AI is a powerful web application that enables you to create, configure, and execute teams of specialized AI agents that collaborate to solve complex tasks. Inspired by the CrewAI framework, this application brings intelligent multi-agent automation to the web with an intuitive interface for content creation, data analysis, and workflow automation.

CrewRunner AI React TypeScript Vite

✨ Features

🧠 AI-Powered Crew Generation

  • Smart Generation: Describe your project and let AI automatically create specialized crews
  • Intelligent Agent Design: AI generates agents with appropriate roles, goals, and tools
  • Task Automation: Automatically creates task workflows based on your requirements

👥 Multi-Agent Collaboration

  • Specialized Agents: Create agents with unique roles, goals, and backstories
  • Tool Integration: Equip agents with specialized tools (web search, file processing, code analysis, etc.)
  • Flexible Workflows: Support for sequential, hierarchical, and parallel execution processes

🌐 Real Web Search Integration

  • Tavily API Integration: Enable agents to access real-time web information
  • Live Data Access: Agents can search the web for current information during task execution
  • Smart Search Queries: AI automatically generates relevant search queries based on task context
  • Comprehensive Results: Get detailed search results with summaries and source links

⚡ Real-Time Execution

  • Live Monitoring: Watch your crews execute tasks in real-time
  • Progress Tracking: Visual progress indicators and detailed execution logs
  • Instant Feedback: Real-time status updates and error handling

📁 Automated File Generation

  • Smart Output: Crews automatically generate reports, documents, and analysis files
  • Multiple Formats: Support for text, markdown, JSON, CSV, and more
  • File Management: Built-in file viewer, editor, and download capabilities

🎨 Beautiful Interface

  • Modern Design: Clean, intuitive interface with dark theme
  • Responsive Layout: Works perfectly on desktop, tablet, and mobile
  • Real-time Updates: Live status indicators and progress visualization

🚀 Getting Started

Prerequisites

  • Node.js (version 18 or higher)
  • npm or yarn package manager
  • Groq API Key (for AI functionality)
  • Tavily API Key (optional, for web search functionality)

Installation

  1. Clone the repository

    git clone https://github.com/lalomorales22/crew-runner-ai.git
cd crew-runner-ai

  2. Install dependencies

    npm install

  3. Set up environment variables

    cp .env.template .env

    Edit .env and add your API keys:

    VITE_GROQ_API_KEY=your_groq_api_key_here
VITE_TAVILY_API_KEY=your_tavily_api_key_here

  4. Start the development server

    npm run dev

  5. Open your browser

    Navigate to http://localhost:5173 to access CrewRunner AI

Getting API Keys

Groq API Key (Required)

  1. Visit Groq Console
  2. Sign up for a free account
  3. Navigate to API Keys section
  4. Create a new API key
  5. Copy the key to your .env file

Tavily API Key (Optional - for Web Search)

  1. Visit Tavily
  2. Sign up for an account
  3. Get your API key from the dashboard
  4. Add it to your .env file as VITE_TAVILY_API_KEY

Note: Without the Tavily API key, web search functionality will be simulated with example data.

🎯 How to Use

1. Generate a Crew with AI

  • Click "Generate with AI" in the right sidebar
  • Describe your project (e.g., "Create a content marketing crew that researches topics and writes articles")
  • Let AI automatically generate agents and tasks
  • Review and customize the generated crew

2. Manual Crew Creation

  • Click "New Crew" to create from scratch
  • Add agents with specific roles and goals
  • Define tasks and assign them to agents
  • Configure tools and execution process

3. Enable Web Search (Optional)

  • Add your Tavily API key to the environment variables
  • Assign the web_search tool to agents that need web access
  • Agents will automatically search the web when tasks require current information

4. Execute Your Crew

  • Click "Execute Crew" to start the workflow
  • Monitor real-time progress and logs
  • View generated files in the Files tab
  • Download or share results

5. Manage Results

  • Access all generated files in the Files tab
  • View, edit, download, or share documents
  • Track execution history and performance
  • Export logs and reports

🛠️ Built With

  • Frontend: React 18 + TypeScript
  • Styling: Tailwind CSS + shadcn/ui components
  • Build Tool: Vite
  • AI Integration: Groq SDK
  • Web Search: Tavily API
  • State Management: Zustand
  • Database: SQL.js (client-side)
  • Icons: Lucide React

📋 Use Cases

CrewRunner AI is perfect for:

  • Content Creation & Marketing: Research, writing, and SEO optimization teams with web search
  • Market Research: Real-time competitor analysis and trend identification
  • Software Development: Code analysis, testing, and documentation crews
  • News & Information: Current events research and reporting teams
  • Business Intelligence: Data gathering and analysis with live web data
  • Customer Support: Automated response systems with current information access
  • Academic Research: Literature reviews and current research compilation

🔧 Available Scripts

# Start development server
npm run dev

# Build for production
npm run build

# Preview production build
npm run preview

# Run linting
npm run lint

🌐 Web Search Capabilities

When configured with a Tavily API key, CrewRunner AI provides:

  • Real-time Web Search: Access current information from across the web
  • Smart Query Generation: AI automatically creates relevant search queries
  • Comprehensive Results: Detailed search results with content summaries
  • Source Attribution: Full source links and publication dates
  • Answer Synthesis: AI-generated summaries of search results
  • Follow-up Questions: Suggested related queries for deeper research

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/AmazingFeature)
  3. Commit your changes (git commit -m 'Add some AmazingFeature')
  4. Push to the branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

CrewAI Framework

This application is inspired by and built upon concepts from the CrewAI framework. CrewAI is a cutting-edge framework for orchestrating role-playing, autonomous AI agents that enables teams of agents to collaborate and tackle complex tasks.

About CrewAI:

CrewAI provides the foundational concepts of multi-agent collaboration, role-based AI systems, and task orchestration that inspired the design and functionality of CrewRunner AI. We encourage users to explore the original CrewAI framework for production-grade multi-agent applications.

Technology Stack

📞 Support

If you have any questions or need help getting started:

  1. Check the Issues page
  2. Create a new issue if your question isn't answered
  3. Join our community discussions

🔗 Related Projects

CrewRunner AI - Empowering the future of intelligent automation 🚀

Inspired by CrewAI - Bringing multi-agent collaboration to the web

Contract & API

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

MissingGITHUB REPOS

Endpoints

Dossier APISnapshot APIContract APITrust API

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-lalomorales22-crew-runner-ai/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-lalomorales22-crew-runner-ai/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-lalomorales22-crew-runner-ai/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.

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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-lalomorales22-crew-runner-ai/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-lalomorales22-crew-runner-ai/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-lalomorales22-crew-runner-ai/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-lalomorales22-crew-runner-ai/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-lalomorales22-crew-runner-ai/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-lalomorales22-crew-runner-ai/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T20:42:33.038Z"
    }
  },
  "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": "Lalomorales22",
    "href": "https://github.com/lalomorales22/crew-runner-ai",
    "sourceUrl": "https://github.com/lalomorales22/crew-runner-ai",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T08:43:29.860Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-lalomorales22-crew-runner-ai/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-lalomorales22-crew-runner-ai/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T08:43:29.860Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "2 GitHub stars",
    "href": "https://github.com/lalomorales22/crew-runner-ai",
    "sourceUrl": "https://github.com/lalomorales22/crew-runner-ai",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T08:43:29.860Z",
    "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-lalomorales22-crew-runner-ai/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-lalomorales22-crew-runner-ai/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

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