Why Maia?
Maia is a self-hosted workflow orchestration and execution service. It uses a DAG structure and is designed for long-running automation.
Core capabilities
Section titled “Core capabilities”- Persistence: keep state, inputs, outputs, logs, and artifacts over time.
- Observability: stream real-time logs and events via
SSE; inspect step inputs, outputs, and artifacts. - Replay: replay an execution after it finishes.
- Isolated execution: optionally execute with Runner (recommended for production); otherwise App executes locally.
- Composability: explicit step dependencies; upstream outputs flow downstream by stepKey; supports input and output specs.
Use cases
Section titled “Use cases”- Data pipelines: fetch, clean, transform, and aggregate; resume from failures.
- Scheduled jobs: backups, health checks, and report generation; needs stable scheduling and traceability.
- API orchestration: coordinate multiple APIs and aggregate results; needs a debuggable history.
- Batch processing: process many files/records with concurrency control and progress visibility.
Quickstart
Section titled “Quickstart” Self-hosting Deploy Maia quickly with Docker Compose.
Your first workflow Create and run your first workflow.
Related topics
Section titled “Related topics”- Debugging and replay:
Run,RunStep,Attempt - Input spec:
inputSpec - Output spec:
outputsSpec