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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.