Summary

This repository provides a community-maintained collection of examples for the Motia framework, a backend system designed for building event-driven applications. It showcases Motia's capabilities in observability, state management, and real-time data handling, offering practical demonstrations for developers looking to build scalable, cloud-native applications.

How It Works

The examples illustrate the Motia framework's core principles: event-driven architecture, built-in observability, and robust state management. They leverage Motia Streams for real-time data flow and demonstrate how to construct complex, asynchronous workflows. The diverse examples highlight Motia's suitability for applications requiring high throughput, real-time updates, and sophisticated data processing pipelines.

Quick Start & Requirements

General setup involves cloning the repository, navigating to a specific example directory, installing dependencies (often via npm or yarn for TypeScript, pip for Python), configuring environment variables, and running the agent using the Motia CLI. Prerequisites vary significantly per example but commonly include Node.js/TypeScript environments, Python, Docker, and API keys for services like OpenAI, GitHub, or financial data providers. Specific examples may require specialized engines like Stockfish or vector databases like Weaviate. Links to detailed documentation and quick-start guides for individual examples are provided.

Highlighted Details

• AI & Agent Focus: Numerous examples demonstrate advanced AI integrations, including LLM-powered agents for research, financial analysis, GitHub management, email processing, and image generation.
• Real-Time Systems: Several examples showcase Motia Streams for building real-time applications like GitHub Stars Counters, ChessArena AI leaderboards, and uptime monitors.
• Production-Ready Deployments: Examples like the AI Hedge Fund and GitHub Stars Counter feature complete Docker setups and highlight production scalability and deployment strategies.
• Diverse Use Cases: The collection spans from complex AI workflows and financial analysis to utility tools like PDF RAG agents and meeting transcription services.

Maintenance & Community

Contributions are welcomed, with guidelines provided for submitting new examples. The repository links to comprehensive Motia documentation, including core concepts, getting started guides, and deployment strategies, serving as the primary resource for community engagement and learning.

Licensing & Compatibility

The repository and its contents are licensed under the MIT License. This permissive license generally allows for commercial use, modification, and distribution without significant restrictions, making it compatible with most integration scenarios.

Limitations & Caveats

The repository primarily serves as a showcase; users must consult individual example READMEs for specific setup complexities, dependency requirements, and potential API costs. Some advanced AI examples may necessitate substantial computational resources or paid API access.