MeDo by Baidu vs openrig: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of MeDo by Baidu and openrig — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
MeDo by Baidu
Baidu
No-code platform that turns natural-language prompts into working full-stack apps and websites using a drag-and-drop editor.
Key features
- Prompt-to-App Generation: Converts natural-language descriptions into a working app scaffold—generating pages, data models, routes and UI components from a single prompt to speed prototype creation.
- Drag-and-Drop Visual Editor: Provides a WYSIWYG editor for arranging UI components, binding data fields and adjusting layout without code, enabling visual refinement after generation.
- Full-Stack Scaffolding: Produces both front-end and backend boilerplate (pages, APIs, and database models) so generated apps include server-side logic and persistent storage ready for use or further customization.
- Prebuilt Components and Templates: Includes reusable UI components and starter templates for common app types (dashboards, forms, landing pages) to accelerate development and maintain consistency.
- Instant Preview and Iteration: Lets users preview apps in-browser immediately after generation or edits, facilitating rapid testing and iterative refinement of workflows and UIs.
- Integrations and API Connectivity: Enables connecting generated apps to external services and APIs (webhooks, third-party data sources) to extend functionality and integrate existing systems.
- One-Click Deployment (Scaffolded): Automatically prepares apps for hosting and deployment so prototypes can be published as live websites or internal tools with minimal setup.
- Collaboration and Sharing: Supports sharing app previews or project links for feedback and collaborative iteration among team members and stakeholders.
- Prompt-to-app generation: convert natural-language descriptions into working applications
- Drag-and-drop visual editor for building full-stack applications without coding
- Website generation capability (create websites from prompts or visual design)
- Code-free app builder workflow intended for rapid prototyping and non-developers
Best for
- Rapid Prototyping: Turn a product idea described in plain language into a clickable prototype or MVP within minutes for user testing and stakeholder demos.
- Internal Tools: Build custom, data-driven internal apps (admin dashboards, CRMs, inventory tools) without hiring engineers, using generated backends and forms.
- Landing Pages and Microsites: Generate marketing landing pages and campaign microsites quickly from prompts or templates, then publish with built-in deployment.
- Startup MVPs: Create minimal viable products that include front-end, API endpoints and data models to validate business ideas before investing in full engineering.
- Form and Workflow Automation: Construct multi-step forms and automated workflows to capture data, trigger API calls or route submissions without custom code.
- Client Proposals and Demos: Produce working app demos for clients or prospects by describing required features and iterating visually to match requirements.
- Rapid prototyping of web apps and MVPs using natural-language prompts
- Non-developer creation of landing pages and simple full-stack applications
- Internal tooling or lightweight apps built via visual editor
- Education and onboarding for users learning app design without coding
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openrig
mvschwarz
OpenRig is open-source software to define a team of Claude Code and Codex agents in YAML and run them as one persistent, managed system.
Key features
- YAML Rig Definitions: Describe an agent team with roles in YAML and boot it with a single command.
- Mixed Harnesses: Run Claude Code and Codex agents together in the same rig, managed as one system.
- Lead Agent Coordination: Talk to a lead agent that coordinates specialists across teams and reports back decisions needing attention.
- Persistent Teams: Keep team work and context at stable addresses instead of a pile of terminal sessions.
- Terminal UI: View the rig as a graph or a table of seats showing runtime, model, context and state, with per-seat detail.
- Guided First Use: A getting-started path installs, launches a two-agent team in your repository and produces one reviewed change.
- Permission Allowances: Optionally lets your agent add scoped native rules so OpenRig commands run without repeated prompts, with an undo.
- CLI Install: Distributed as @openrig/cli on npm, requiring Node.js 22 or 24 and tmux on macOS or Linux.
Best for
- Multi-Agent Coding Teams: Stand up a persistent team of coding agents with defined roles for a repository.
- Cross-Harness Workflows: Combine Claude Code and Codex strengths within one coordinated team.
- Outcome-Driven Delegation: Describe a desired outcome to a lead agent and let it split work among specialists.
- Agent Monitoring: Watch seats, models, context and state of many agents from one terminal UI.
- Reviewed Changes: Have agents produce a change in a repo and another review it before you merge.
- Agent Research Experiments: Prototype and study networks of cooperating agents on your own machine.