Repository intelligence

dali-benothmen/woml

An open-source, executable markup language and runtime for durable workflow applications that combines HTML-inspired semantic markup with inline JavaScript logic and a Rust-powered engine.

CLOUDM0N decision

NICHE

Trust PASS · 100/100

Good fit if

Developers looking to author, version-control, and validate durable workflows as code using standard Git and CI/CD tools without visual editors

Watch out for

Running on Linux environments requires host systems to have glibc 2.31 or newer installed

Practical intelligence

What matters before you adopt it

Decision first · detail on demand

Problem it solves

The maintenance bottleneck of visual canvas builders for large-scale automations, and the lack of high-level readability or version-control integration in traditional code-based orchestration SDKs.

Best for

Developers looking to author, version-control, and validate durable workflows as code using standard Git and CI/CD tools without visual editors

Teams seeking a collaborative automation format that is readable as documentation for non-engineers while retaining full programming capabilities

AI agents and coding assistants that need a structured language framework they can generate, check with a compiler, and safely commit

Main trade-offs

Running on Linux environments requires host systems to have glibc 2.31 or newer installed

Why it stands out

Offers a resilient, event-sourced runtime that automatically manages execution state, attempts, failures, and wait conditions across process restarts

Allows developers to write inline JavaScript and import reusable local TypeScript or JavaScript modules

Features a zero-dependency setup where the CLI automatically selects native engines for macOS, Linux, and Windows without manual database configuration

Trust & CVEs

Security evidence without the noise

Trust remains a decision signal; CVEs and scanner evidence explain what is driving the risk.

Security findings

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Scanner unavailable

Critical

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High

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Medium

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Low

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View trust evidence & security findings▼

Why this score

No trust rationale was stored for this scan.

CLOUDM0N findings

Architecture from code10 modules · 1 edges▼

Structural evidence

Modules and dependency edges extracted from repository code. This is code evidence, not README inference.

Code files

341

Modules

Dependency edges

Core modules

examples

4 files

scripts

1 files

woml

63 files

woml-cli

272 files

woml-vscode

1 files

Dependency flow

woml-cli→woml

Detected languages

TypeScript · Rust · JavaScript

Detected frameworks

—

Architecture evidence details

flowchart TD
    %% woml-repository — high-level architecture (DRAFT, refine me)
    n0["examples · examples · 4 files"]
    n1["scripts · scripts · 1 file"]
    n2["woml · 63 files"]
    n3["woml-cli · 272 files"]
    n4["woml-vscode · 1 file"]
    n3 --> n2
    class n0 docs
    class n1 infra
    classDef docs fill:#9d7660,color:#ffffff,stroke:#7c5d4c
    classDef infra fill:#b35c00,color:#ffffff,stroke:#8f4a00

Evidence, security & integrations▼

Integrations

BunGitVS CodeClaude CodeCodexSlackTelegramDiscord

Security notes

• The 'auth="none"' parameter should strictly be limited to local development environments

• Exposing workflow endpoints to public networks requires configuring authenticated webhooks beforehand

• Secrets used inside embedded scripts must be explicitly defined and referenced within the workflow definition

Still unknown

• The README does not state any internal runtime performance limitations, maximum concurrency bounds, or database scaling costs

• The exact syntax and credential configuration properties for third-party communication and database providers are not specified directly in the text

• The precise CLI installation commands are omitted from the text, indicating only that npm, Bun, or pnpm can be used

Adoption guidance▼

Adopt if

+ You want to build self-hosted, durable background processes that are easily reviewable in pull requests and readable by the entire team

+ You are utilizing AI agents to generate code and require a highly-constrained markup syntax that can be automatically checked for validity before execution

Avoid if

– You require a zero-code, entirely drag-and-drop visual workflow canvas

– Your deployment environment runs on an older Linux distribution that does not support glibc 2.31 or newer

How it works & getting started▼

How it works

1.The developer writes a .woml file declaring triggers, steps, control structures, and embedded JavaScript logic

2.The developer validates the file's syntax and schema compliance using the 'woml check' CLI command

3.The developer starts the automation locally or on a server using 'woml run'

4.The Rust-powered runtime acts as an event-sourced engine, listening for configured webhook, schedule, or manual triggers

5.When triggered, the engine starts a durable workflow run, executing steps, managing attempts, and executing embedded script logic in order

Getting started

→ Install Bun 1.3.14 or newer on your development machine

→ Install the global WOML command-line interface using npm, pnpm, or Bun

→ Create a basic 'order-router.woml' file on your local machine

→ Verify the syntax of the workflow by executing: woml check order-router.woml

→ Launch the workflow execution by running: woml run order-router.woml

Agent handoff

Use with any agent

JSON API

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