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Basic Information

Motia is a modern unified backend framework designed for developers who want to combine APIs, background jobs, workflows, and AI agents into a single system. It centers on a core primitive called the Step, which encapsulates business logic and can be triggered by HTTP requests, internal events, or cron schedules. The repo provides CLI quickstarts to bootstrap projects, a local Workbench for building, testing and observing workflows in real time, and examples that demonstrate common uses such as finance agents, RAG, GitHub automation, Gmail management, Trello automation, and image generation. Motia aims to eliminate runtime fragmentation by letting teams write Steps in multiple languages, share unified state, trace executions end to end, and deploy a cohesive backend instead of maintaining separate services for APIs, queues, and workflows.

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Features
Motia’s key features include the Step primitive and multiple supported Step types: api for HTTP endpoints, event for emitted topics, cron for scheduled jobs, and noop for placeholders. It provides an event-driven emit-and-subscribe model, a unified key-value state store with automatic tracing of state operations, structured JSON logging correlated by trace IDs, and Streams for real-time messaging from long-running workflows. The Workbench offers a visual Flows UI, trace inspector, logs, endpoints testing and state viewer with hot-reload during development. Language support listed in the README includes stable JavaScript, TypeScript and Python, beta Ruby and planned Go and Rust. The framework also documents observability, automatic retries and fault tolerance, and one-click deployments.
Use Cases
Motia reduces complexity for backend teams by replacing fragmented runtimes with a single, consistent model for APIs, background jobs and AI agents. Developers can build, test and debug multi-stage processes without gluing separate frameworks together, benefiting from end-to-end traces that show step timelines, state changes, emits and logs. Shared state and emit/subscribe workflows simplify coordination between synchronous endpoints and asynchronous workers. The Workbench speeds iteration with live testing, hot-reload and visual debugging. Language-agnostic Steps let teams use the best language per task while keeping a unified deployment and observability surface, lowering operational overhead and improving developer productivity for building production workflows and agent integrations.

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