Compare

MDMA - GenUI for apps vs Scryer

Scryer gives agents a blueprint for execution; MDMA supplies a markup format that the LLM directly emits as UI.

Side by side

What it is
MDMA - GenUI for apps:MDMA extends Markdown with interactive UI components that LLMs can generate and render in React, Vue, and React Native.
Scryer:Scryer provides a visual drag-and-drop model that AI agents read, edit via MCP, and generate code from.
Best for
MDMA - GenUI for apps:Markdown-based generative UI for LLMs
Scryer:Visual model for AI agents
Who it’s for
MDMA - GenUI for apps:Developers building LLM-driven interfaces and workflows.
Scryer:Developers building AI-agent-driven code generation pipelines
Pricing
MDMA - GenUI for apps:Open source
Scryer:Open source
Open source
MDMA - GenUI for apps:Yes, 67 GitHub stars
Scryer:Yes, 116 GitHub stars
Works with
MDMA - GenUI for apps:React, Vue 3, React Native, AG-UI, OpenAI, Anthropic, Google, xAI
Scryer:—
DevHunt upvotes
MDMA - GenUI for apps:0
Scryer:5
Launched on DevHunt
MDMA - GenUI for apps:Jul 2026
Scryer:Mar 2026

MDMA - GenUI for apps features

  • MDMA Parser. Converts fenced ```mdma``` blocks into a validated AST using a remark plugin.
  • Static Validator. Runs 17 lint rules with auto-fix, catching structural errors without token cost.
  • Stateful Runtime. Provides bindings, audit log, policies and PII redaction for interactive components.
  • Multi-Framework Renderers. React, Vue 3 and React Native renderers turn MDMA documents into live UI.
  • Component Library. Ten built-in interactive types (form, button, table, approval-gate, etc.) plus custom variants.
  • Prompt Pack & Fixer. Model-specific authoring prompts and an LLM fixer to repair invalid output.
  • Streaming & Agent Bridge. Supports streaming renders and AG-UI protocol for bidirectional agent interaction.
  • Token-Efficient Design. Forgiving Markdown format works reliably on small, cheap LLMs, reducing API costs.

Scryer features

  • Drag-and-drop editor. Create and edit a shared visual model that agents can read and modify.
  • MCP integration. Agents communicate with the model through a Multi-Channel Protocol server.
  • Task feeding. Feed work units one at a time with automatic dependency ordering.
  • Inherited contracts. Define and enforce contracts that propagate through generated code.
  • Progress tracking. Monitor agent progress and status throughout the generation process.
  • Change ledger. Record rationale and changes for each edit made by the agent.

Based on each tool's website and DevHunt data. Details may change; check the official sites.