# motia-examples
**Repository Path**: fnwork/motia-examples
## Basic Information
- **Project Name**: motia-examples
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-11-23
- **Last Updated**: 2025-11-27
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
# Motia Examples 🚀
Welcome to the official examples repository for [Motia](https://motia.dev/) - a modern backend framework for building event-driven applications with built-in observability and state management.
## 📖 Documentation & Guided Tours
For detailed tutorials and guided walkthroughs of these examples, visit our comprehensive documentation:
- **[Examples Documentation](https://www.motia.dev/docs/examples)** - Step-by-step guides with code explanations
- **[Getting Started](https://www.motia.dev/docs/getting-started/quick-start)** - Quick start guide for Motia
- **[Core Concepts](https://www.motia.dev/docs/concepts/overview)** - Understanding Steps, Events, and Flows
## 🗂 Examples
## 🌟 Production-Ready Cloud Examples
### 🏆 ChessArena AI - LLM Chess Leaderboard
An advanced **AI chess battleground** where language models compete in real-time, evaluated by Stockfish for move-by-move quality analysis.
**Key Features:**
- **Multi-LLM Competition:** Multiple AI models compete simultaneously with live leaderboards
- **Move-by-Move Evaluation:** Stockfish engine analyzes every move for quality scoring
- **Real-Time Streaming:** Live game updates using Motia Streams architecture
- **Advanced Analytics:** Comprehensive statistics tracking blunders, accuracy, and insights
- **Production Scalability:** Built for high-throughput concurrent games
**Evaluation System:**
- Every move scored against Stockfish recommendations
- Centipawn loss tracking for precise skill measurement
- Blunder detection (>100 centipawn swings)
- Quality-based leaderboards over simple win/loss ratios
**Technologies:** TypeScript, Python, Stockfish Engine, OpenAI, Motia Streams
**🎯 Live Platform:** [ChessArena.ai](https://chessarena.ai)
[View Source Code →](https://github.com/MotiaDev/chessarena-ai)
### ⭐ GitHub Stars Counter
A **real-time GitHub stars counter** showcasing production-ready deployment capabilities - this exact implementation powers the live star count on the Motia website!
**Key Features:**
- **Real-Time Updates:** Instant star count updates across all connected clients using Motia Streams
- **Production Security:** GitHub webhook signature verification and request validation
- **One-Click Deployment:** Deploy instantly to Motia Cloud with built-in monitoring
- **Type-Safe Development:** Full TypeScript support with auto-generated types
- **Minimal Code:** Built with just 2 simple steps - webhook handler and real-time stream
**Technologies:** TypeScript, GitHub Webhooks, Motia Streams
**🚀 Live Demo:** [See it running on Motia.dev](https://motia.dev)
[View Source Code →](https://github.com/MotiaDev/github-stars-counter)
---
*Both examples demonstrate Motia's power for building production-ready, real-time applications that scale in the cloud with minimal infrastructure complexity.*
### AI Deep Research Agent
A powerful research assistant that performs comprehensive web research on any topic or question, providing in-depth analysis and reports.
**Key Features:**
- Deep Web Research: Searches the web, extracts content, and synthesizes findings
- Iterative Research Process: Supports multiple research depths for comprehensive exploration
- API Endpoints: REST API for initiating research and retrieving reports
- Parallel Processing: Efficiently processes search results and content extraction
**Technologies:** TypeScript, OpenAI, Firecrawl API
[View Example →](examples/ai-deep-research-agent)
### AI Hedge Fund - Comprehensive Financial Analysis Workflow
A sophisticated multi-agent financial analysis system that combines parallel processing, real-time market data, and specialized AI agents for comprehensive investment insights.
**Key Features:**
- **Multi-Agent Architecture**: 4 specialized AI analysts (Fundamental, Portfolio, Risk, Technical) running in parallel
- **Real-Time Market Data**: Integration with Alpha Vantage and Yahoo Finance APIs
- **Web Research Integration**: Automated web search for latest market news and analysis
- **Production-Ready Deployment**: Complete Docker containerization with docker-compose
- **State Management**: Persistent data storage across workflow steps with trace isolation
- **Interactive UI**: Custom React components for query input and result visualization
- **Comprehensive Analysis**: Generates detailed reports covering all aspects of investment analysis
**Architecture Highlights:**
- Parallel processing for maximum efficiency
- Error handling with graceful degradation
- TypeScript with full type safety and Zod validation
- Nebius AI integration for advanced analysis capabilities
- RESTful API endpoints for external integration
**Technologies:** TypeScript, Nebius AI, Alpha Vantage API, Yahoo Finance, Serper API, Docker
**🐳 Production Deployment:** Includes complete Docker setup with environment configuration
[View Example →](examples/ai-hedgefund)
### Finance Agent
A powerful event-driven financial analysis workflow built with Motia that combines web search, financial data, and AI analysis to provide comprehensive investment insights.
**Key Features:**
- Real-time Financial Analysis: Combines multiple data sources for comprehensive insights
- AI-Powered Insights: Leverages OpenAI GPT-4 for intelligent market analysis
- Web Search Integration: Aggregates latest market news and analysis
- Financial Data Integration: Real-time stock and company information
**Technologies:** TypeScript, Alpha Vantage API, SerperDev, OpenAI
[View Example →](examples/finance-agent)
### GitHub Integration Agent
A comprehensive agent for automating GitHub issue and pull request management using AI-powered classification and routing.
**Key Features:**
- AI-powered issue and PR classification
- Automatic label assignment based on content
- Smart reviewer suggestions based on expertise
- Automatic movement between stages in the development lifecycle
**Technologies:** TypeScript, OpenAI, GitHub API
[View Example →](examples/github-integration-workflow)
### Gmail Account Manager
An intelligent Gmail agent that monitors, analyzes, and automatically responds to incoming emails.
**Key Features:**
- Email classification and urgency detection
- Automated responses based on content analysis
- Smart email organization
- Daily summaries via Discord
**Technologies:** TypeScript, Python, Google APIs, Discord, Hugging Face
[View Example →](examples/gmail-workflow)
### PDF RAG Agent using Motia, Docling and Weaviate
An LLM chat-like question-answering system with RAG (Retrieval-Augmented Generation) to provide accurate answers from PDF documents.
The system leverages Docling to parse and intelligently chunk PDF documents, Weaviate as a vector database to store vectorized chunks, and OpenAI for embeddings and text generation.
**Key Features:**
- PDF document processing and chunking
- Vector storage using Weaviate
- Docling for PDF parsing and hybrid chunking
- OpenAI integration for embeddings and text generation
- Question answering using RAG pattern
**Technologies:** TypeScript, Python, Docling, Weaviate, OpenAI
[View Example →](examples/rag-docling-weaviate-agent)
### Real-Time Uptime Monitor
A production-ready website monitoring system that continuously checks site availability, sends intelligent Discord alerts, and provides comprehensive health reporting.
**Key Features:**
- Configurable cron-based website checking
- Smart Discord notifications with rate limiting
- Status change detection to prevent spam
- Built-in health check endpoint
- In-memory status storage with persistence
- Comprehensive error handling and logging
**Technologies:** JavaScript, Discord Webhooks, Cron Scheduling
[View Example →](examples/motia-uptime-monitor)
### Sentiment Analysis Workflow
A dynamic sentiment analysis application that uses an LLM to determine workflow routing, demonstrating event-driven decision making.
**Key Features:**
- Dynamic workflow routing based on sentiment
- OpenAI-powered sentiment analysis
- Event-driven architecture with conditional flows
- Real-time processing and response handling
**Technologies:** TypeScript, OpenAI
[View Example →](examples/sentimental-analysis)
### AI Health & Fitness Agent
An intelligent health and fitness assistant that analyzes user activity, provides personalized recommendations, and tracks wellness goals.
**Key Features:**
- Activity tracking and analysis
- Personalized fitness recommendations
- Health goal monitoring
- AI-powered insights and coaching
**Technologies:** TypeScript, Health APIs, AI Analysis
[View Example →](examples/ai-health-fitness)
### Blog to Tweet Automation
An automated content distribution system that transforms blog posts into engaging social media content.
**Key Features:**
- Automatic blog content extraction
- AI-powered tweet generation
- Social media scheduling
- Content optimization for platforms
**Technologies:** JavaScript, Social Media APIs, Content Processing
[View Example →](examples/blog-to-tweet)
### LinkedIn Content Agent
An intelligent content creation and management system for LinkedIn professional networking.
**Key Features:**
- Professional content generation
- LinkedIn API integration
- Engagement tracking and optimization
- Automated posting schedules
**Technologies:** JavaScript, LinkedIn API, Content Generation
[View Example →](examples/linkedIn-content-agent)
### Image Resizer Service
A high-performance image processing service that handles multiple formats and optimization strategies.
**Key Features:**
- Multiple image format support
- Batch processing capabilities
- Quality optimization
- Storage integration
- API-driven resizing operations
**Technologies:** TypeScript, Image Processing Libraries, Storage APIs
[View Example →](examples/image-resizer)
### Spamurai PR Agent
An intelligent GitHub PR management system that automatically detects and handles spam pull requests.
**Key Features:**
- Automated spam detection
- PR quality analysis
- Repository protection
- Intelligent filtering and classification
**Technologies:** TypeScript, GitHub API, Machine Learning
[View Example →](examples/Spamurai-pr-agent)
### Motia Docker Integration
A comprehensive example demonstrating how to containerize and deploy Motia applications with Docker.
**Key Features:**
- Docker containerization
- Multi-stage builds
- Production deployment configurations
- Container orchestration examples
**Technologies:** Docker, TypeScript, Deployment Tools
[View Example →](examples/motia-docker)
### Real-Time Chat Application
A comprehensive demonstration of real-time chat functionality with asynchronous message processing using the Motia Framework.
**Key Features:**
- Real-time messaging with WebSocket streaming
- Concurrent message processing (validation, sentiment analysis, moderation)
- Event-driven architecture with pub/sub messaging
- Type-safe message handling with Zod validation
- Live chat state updates and message aggregation
**Technologies:** TypeScript, Motia Streams, Event System
[View Example →](examples/chat-agent)
### Motia Parallel Execution
A demonstration of parallel task execution capabilities in Motia agents.
**Key Features:**
- Concurrent task processing
- Workload distribution
- Performance optimization
- Resource management
**Technologies:** TypeScript
[View Example →](examples/motia-parallel-execution)
### Research Assistant
An intelligent research assistant that helps gather and analyze information.
**Key Features:**
- Information gathering
- Data analysis
- Research synthesis
- Citation management
**Technologies:** TypeScript, OpenAI
[View Example →](examples/research-assistant)
### Streaming AI Chatbot
A real-time streaming chatbot implementation with AI capabilities.
**Key Features:**
- Real-time message streaming
- Interactive responses
- Token-by-token output
- WebSocket integration
**Technologies:** TypeScript, OpenAI Streaming
[View Example →](examples/streaming-ai-chatbot)
### Conversation Analyzer with Vision
An advanced agent that analyzes conversations with both text and visual understanding capabilities.
**Key Features:**
- Multi-modal conversation analysis
- Visual content processing
- Sentiment analysis
- Contextual understanding
**Technologies:** TypeScript, OpenAI Vision, Natural Language Processing
[View Example →](examples/conversation-analyzer-with-vision)
### Trello Task Automation
Streamline development processes with an intelligent task progression agent for Trello boards.
**Key Features:**
- Automated card movement between lists
- Task validation and requirement checking
- AI-generated task summaries
- Slack integration for notifications
**Technologies:** TypeScript, Trello API, OpenAI, Slack
[View Example →](examples/trello-flow)
### AI Image Generation and Evaluation
An agent that generates and evaluates AI images with feedback loops and quality metrics.
**Key Features:**
- Prompt enhancement with AI
- Image generation with Flux
- Evaluation of generated images
- Dataset reports with quality metrics
**Technologies:** TypeScript, Python, Claude, Flux, OpenAI
[View Example →](examples/vision-example)
## 🚀 Getting Started
Each example includes its own README with detailed setup instructions. Generally, you'll need:
1. Clone this repository
2. Navigate to the example directory
3. Install dependencies
4. Configure environment variables
5. Run the agent with Motia
### Meeting Transcription Example
A comprehensive example demonstrating local, privacy-friendly meeting audio processing using Motia, Whisper, and Streamlit.
**Key Features:**
- Complete Motia workflow from audio input to structured output
- Local AI processing with privacy-first approach
- Multiple step types (API, Event, Custom)
- Real-world meeting transcription with action item extraction
- Cross-platform UI with Streamlit
**Technologies:** TypeScript, Python, Whisper, Streamlit, Motia
[View Example →](examples/meeting-transcription/)
### AI AQI Alert System
A comprehensive Air Quality Index (AQI) analysis backend providing real-time air quality monitoring, health recommendations, trend analysis, and alert notifications.
**Key Features:**
- Real-time AQI analysis for any location
- AI-powered health recommendations based on AQI levels
- 7-day trend analysis
- Email alert system with customizable thresholds
- Beautiful dashboard plugin
- Multiple data sources (Firecrawl, OpenWeatherMap)
**Technologies:** TypeScript, OpenAI, Firecrawl, OpenWeatherMap, Resend
[View Example →](examples/ai-aqi-alert-system)
### AI Mortgage Alert System
An intelligent, real-time mortgage rate monitoring and analysis system with OpenAI, Couchbase Vector Search, and Resend.
**Key Features:**
- AI-powered mortgage rate trend analysis using OpenAI GPT-4
- Vector search with 1536-dimensional embeddings
- Beautiful HTML email alerts via Resend
- Automated monitoring with cron-based rate scraping
- CSV logging for all analyses
- Real-time processing of rate changes
**Technologies:** TypeScript, OpenAI, Couchbase, Resend
[View Example →](examples/ai-morgage-alert-system)
### AI Home Renovation Planner
A full-stack AI-powered renovation planning application with personalized design plans, budget-aware recommendations, and photorealistic rendering using Gemini 2.5 Flash.
**Key Features:**
- AI-powered design planning with specific materials and colors
- Budget-aware recommendations tailored to constraints
- Complete project roadmap with timeline and budget breakdown
- Photorealistic rendering using Gemini 2.5 Flash Image
- Natural language editing of renderings
- Real-time frontend updates
- Smart room and budget detection
**Technologies:** TypeScript, Python, Google Gemini 2.5 Flash, React
[View Example →](examples/ai-room-renovate)
### Airbnb Guest Assistant
An AI-powered guest assistant for Airbnb properties with RAG capabilities, conversation history tracking in Notion, and local search functionality.
**Key Features:**
- Smart chat API with RAG architecture
- Vector search with Pinecone integration
- Conversation history in Notion database
- SerpAPI integration for restaurant/attraction recommendations
- Document processing for property manuals
- Beautiful Workbench visualization
**Technologies:** TypeScript, OpenAI, Pinecone, Notion, SerpAPI
[View Example →](examples/airbnb-assistant)
### Currency Rate Monitor
A sophisticated Currency Rate Monitor with RAG using OpenAI embeddings, Weaviate vector database, Google Sheets logging, and Slack notifications.
**Key Features:**
- Webhook endpoint for currency rate data
- Text processing with automatic chunking
- Vector embeddings with OpenAI
- Weaviate vector database for semantic search
- RAG agent with intelligent query processing
- Google Sheets logging
- Slack error notifications
**Technologies:** TypeScript, OpenAI, Weaviate, Google Sheets, Slack
[View Example →](examples/currency-rate-monitor)
### GitHub Stars Video Generator
Generate beautiful animated videos showcasing your GitHub repository's star history using Motia and Remotion.
**Key Features:**
- Dual theme support (dark and light)
- Live video preview in Motia Workbench
- Real-time processing with live status updates
- High-quality output (1280x720 @ 60 FPS)
- Smooth animations with avatar scrolling
- One-click MP4 download
**Technologies:** TypeScript, Remotion, GitHub API
[View Example →](examples/git-stars-video)
### GitHub Commit Jenkins
A production-ready workflow that processes GitHub commits using AI-powered analysis with RAG (Retrieval-Augmented Generation).
**Key Features:**
- Webhook integration for GitHub commits
- Text processing with chunking
- Vector embeddings with OpenAI
- Vector storage in Supabase with pgvector
- RAG agent for commit analysis
- Google Sheets logging
- Slack error notifications
**Technologies:** TypeScript, Python, OpenAI, Supabase, Google Sheets, Slack
[View Example →](examples/github-commit-jenkins)
### Google ADK Agents on Motia
Build production-grade AI agents with Google's Agent Development Kit, simplified by Motia's event-driven architecture.
**Key Features:**
- Simple & multi-agent chat systems
- Fast polling for real-time updates (500ms)
- Beautiful formatted output with syntax highlighting
- Async event-driven processing
- Conversation history with session persistence
- Tool integration (search, code, weather, etc.)
- Full TypeScript with Zod validation
**Technologies:** TypeScript, Google Gemini 2.5 Flash, Motia
[View Example →](examples/google-adk-motia)
### Motia Research Assistant
A multi-agent research system combining Motia workflow orchestration with Mastra AI agents to deliver comprehensive business research reports in under 60 seconds.
**Key Features:**
- 8-step workflow pipeline
- Web search using Tavily API
- AI-powered analysis with OpenAI GPT-4o
- Fact verification with additional searches
- Professional report generation
- Quality metrics tracking
**Technologies:** TypeScript, Mastra, OpenAI, Tavily
[View Example →](examples/motia-research-assistant)
### Property Search Agent
A high-performance, event-driven real estate search system built with Motia and Agno, featuring parallel processing and interactive dashboard.
**Key Features:**
- 4 parallel processors (57% faster than sequential)
- Concurrent website scraping with Firecrawl
- AI-powered market analysis with Agno + OpenAI
- Property enrichment (schools, crime stats, walkability)
- Neighborhood analysis
- Interactive React dashboard plugin
- Beautiful UI components for Workbench
**Technologies:** TypeScript, Python, Agno, OpenAI, Firecrawl
[View Example →](examples/property-search-agent)
### Public Form Auto Triage
A Motia workflow implementing intelligent form triage using RAG with vector similarity search and LLM processing.
**Key Features:**
- Webhook integration for form submissions
- Text processing and embedding generation
- Vector storage in Supabase with pgvector
- RAG agent with Claude AI
- Window memory for conversation context
- Google Sheets logging
- Slack error notifications
**Technologies:** TypeScript, OpenAI, Anthropic, Supabase, Google Sheets, Slack
[View Example →](examples/public-form-auto-triage)
### SmartTravel Multi-Agent System
An intelligent travel planning system powered by 6 specialized AI agents working in harmony to create comprehensive, personalized travel itineraries.
**Key Features:**
- 6 specialized AI agents (Destination Explorer, Flight Search, Hotel Search, Dining, Itinerary, Budget)
- Real-time status tracking
- Beautiful React frontend with TanStack Router
- API-driven architecture
- Multi-agent orchestration
- Personalized planning based on travel style and interests
**Technologies:** TypeScript, OpenAI GPT-4o, React, TanStack Router
[View Example →](examples/smarttravel-multi-agent)
### AI Content Moderation
A complete content moderation system combining AI analysis with human review via Slack integration.
**Key Features:**
- Dual content support (text and images)
- Confidence-based routing (auto vs human review)
- Interactive Slack messages for human review
- Channel prioritization for high-risk content
- Audit trail with reviewer information
- State management for complete workflow tracking
**Technologies:** TypeScript, OpenAI, Slack
[View Example →](examples/ai-content-moderation)
### Car Alert System
AI-powered connected car alert processing system with intelligent response generation.
**Key Features:**
- Text chunking for large alerts
- OpenAI GPT-4 for intelligent responses
- Conversation memory per session
- Local JSON logging
- Optional Google Sheets integration
- No Redis required (uses Motia state)
**Technologies:** Python, OpenAI, Google Sheets
[View Example →](examples/car-alert)
### Competitor Price Scraper
A Motia workflow implementing a full RAG system for analyzing competitor pricing data with vector storage.
**Key Features:**
- Webhook endpoint for competitor data
- Text processing with configurable chunking
- OpenAI embeddings generation
- Supabase vector storage with pgvector
- RAG analysis using Anthropic Claude
- Window memory for conversation context
- Google Sheets logging
- Slack error notifications
**Technologies:** TypeScript, OpenAI, Anthropic, Supabase, Google Sheets, Slack
[View Example →](examples/competitor-price-scrapper)
### Email Marketing Automation
A comprehensive email marketing automation platform featuring AI-powered personalization, behavioral triggers, and scalable campaign management.
**Key Features:**
- Campaign creation and management API
- Smart user segmentation (VIP, new users, active, inactive)
- AI content personalization with Python
- Scheduled campaigns with automated delivery
- Real-time email analytics
- Behavioral trigger automation
- Welcome email series
- Unsubscribe management
- Beautiful React dashboard
**Technologies:** TypeScript, Python, OpenAI, Appwrite, SendGrid, React
[View Example →](examples/email-marketing-automation)
### Fast Likes Smart Feeds
A fast-response, event-driven like system demonstrating mixed TypeScript/Python microservices architecture with immediate API responses and asynchronous background processing.
**Key Features:**
- Micro-actions pattern with real-time integrations
- Database sync with Supabase
- Firebase Cloud Messaging for push notifications
- WebSocket broadcasting capability
- Parallel processing for maximum performance
- Event-driven architecture
**Technologies:** TypeScript, Python, Firebase, Supabase
[View Example →](examples/fast-likes-smart-feeds)
### Harvest Logbook RAG
A hands-on demonstration of building a production-ready RAG system with fine-grained authorization using SpiceDB.
**Key Features:**
- RAG pipeline with Motia's event-driven architecture
- Fine-grained authorization with SpiceDB
- Text chunking and embedding generation
- Vector storage with Pinecone
- Role-based access control
- Multi-tenant data access
- OpenAI and HuggingFace support
**Technologies:** TypeScript, OpenAI, Pinecone, SpiceDB
[View Example →](examples/harvest-logbook-rag)
### NVIDIA Docs AI Generator
An intelligent documentation generation system that automatically analyzes GitHub repositories and creates comprehensive documentation with architecture diagrams, code analysis, and test generation.
**Key Features:**
- AI-powered repository analysis using NVIDIA NIM LLMs
- Automatic architecture and workflow diagrams
- Comprehensive documentation generation
- Code quality analysis and improvement suggestions
- Automated test case generation
- Support for multiple programming languages
**Technologies:** TypeScript, NVIDIA NIM, Mermaid
[View Example →](examples/nvidia-docs-motia)
### Ollama Chat
A minimal example demonstrating real-time AI streaming and conversation state management using Motia with Ollama for local AI models.
**Key Features:**
- Real-time AI streaming with token-by-token responses
- Local AI models (Llama 3.1, CodeLlama, Mistral, etc.)
- Live state management with message history
- Event-driven architecture
- Privacy-focused (all processing local)
- No API keys required
**Technologies:** TypeScript, Ollama
[View Example →](examples/ollama-chat)
### RAG Dockling ChromaDB Ollama Agent
Multi-format document RAG agent supporting PDF, Markdown, HTML, and TXT files with Docling and vector databases.
**Key Features:**
- Multi-format document processing
- Docling for document parsing and hybrid chunking
- ChromaDB vector storage
- OpenAI or Ollama integration
- Question answering using RAG pattern
- Docker support for easy deployment
**Technologies:** TypeScript, Python, Docling, ChromaDB, OpenAI, Ollama
[View Example →](examples/rag-dockling-chromadb-ollama-agent)
### Real-time Todo App
A modern todo application featuring real-time streaming capabilities, React frontend, and type-safe API backend built with Motia.
**Key Features:**
- Real-time synchronization via Motia Streams
- Type-safe end-to-end with Zod validation
- Modern UI with TailwindCSS
- Inline editing functionality
- Optimistic updates with loading states
- Virtual events for loose coupling
**Technologies:** TypeScript, React, Motia Streams, TailwindCSS
[View Example →](examples/realtime-todo-app)
### UGC Workflow
An AI-powered pipeline that automatically transforms product images into professional user-generated content (UGC) videos for social media marketing.
**Key Features:**
- Multi-AI pipeline (GPT-4o, Gemini 2.5 Flash, Veo 3)
- Parallel processing for multiple variants
- Brand consistency maintenance
- Authentic UGC style creation
- Cloud storage with Box
- Event-driven architecture
**Technologies:** TypeScript, Python, OpenAI, Google Gemini, Veo 3, ImageKit, Box
[View Example →](examples/ugc-workflow)
## 🤝 Contributing
We welcome contributions! If you've built an interesting agent with Motia, please share it by following our [contribution guidelines](CONTRIBUTING.md).
## 📝 License
This repository and its contents are licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## 📚 Learn More
- **[Motia Documentation](https://motia.dev/docs)** - Complete framework documentation
- **[Examples Documentation](https://www.motia.dev/docs/examples)** - Detailed tutorials for each example
- **[Getting Started Guide](https://www.motia.dev/docs/getting-started)** - Quick start tutorial
- **[Core Concepts](https://www.motia.dev/docs/concepts)** - Understanding Steps, Events, and Flows
- **[Deployment Guide](https://www.motia.dev/docs/deployment)** - Production deployment strategies
