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Woml
Woml is an open-source, code-first language and runtime for building automated workflows, backend applications, and AI agents.
WOML is an open-source, code-first language and runtime for building automated workflows, backend applications, and AI agents. Describe processes in readable markup, use JavaScript or TypeScript for logic, and connect APIs, databases, and local tools. Each .woml file combines visible structure, real code, and managed execution handled by a durable runtime. It supports webhooks, schedules, intervals, and event-driven services. Users can review workflows in Git, manage them through pull requests, and run them locally or on infrastructure they control.
Woml at a glance
- Best for: Software engineer
- Runs on: macOS, Linux, Windows, CLI, self-hosted, open source
- Pricing: Free
- Released: October 2026
- Category: AI coding tool
- Website: github.com/dali-benothmen/woml
Key features
- Describe workflows using HTML-inspired markup
- Write inline JavaScript or import TypeScript modules
- Manage execution history, attempts, and retries
- Coordinate human approvals and decisions
- Process loops, parallel work, and branches
- Trigger workflows via webhooks, schedules, or events
- Run locally or on infrastructure you control
Use it for
- Process orders and onboard customers
- Handle webhooks and run scheduled backend jobs
- Connect AI models, tools, and memory in agent processes
- Import, validate, and store data in pipelines
- Run deployment checks and coordinate infrastructure
Alternatives to Woml
- Weft — It enables safe parallel coding agent work without file locks.
- OpenCode — Works with 75+ model providers, local models, and existing subscriptions
- Genkit — Provides unified APIs and local developer tools for AI application workflows.
- ZenML — Orchestrates pipelines and agents on existing infrastructure without rewrites.
- ClearML — Provides an end-to-end platform for infrastructure control, AI development, and GenAI deployment.
- MLflow — Complete observability and evaluation for production AI apps.
- Golem — Provides type-safe agent abstractions and zero-dependency Go implementation.
- ZML — It enables Python-free inference while abstracting hardware complexities.
- iii — Adds services as workers in any language without writing glue code.
- WebLLM — Runs high-performance language models directly inside web browsers.
- BAML — It brings type safety, speed, and local tracing to agent codebases.
- MAGE — Generates full-stack application scaffolding using the Wasp framework.
All Woml alternatives