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Google Stitch vs openrig: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Google Stitch and openrig — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Google Stitch logo

Google Stitch

Google LLC

Free

Generates UI designs for mobile and web from prompts, sketches, or images to speed design ideation and prototyping.

Key features

  • Prompt-to-UI Generation: Produces UI screens for mobile and web from natural-language prompts, sketches, or images to accelerate ideation and mockup creation.
  • Sketch and Image Import: Accepts user sketches or images as input and converts them into UI layouts and visual designs to jumpstart the design process.
  • Gemini CLI Extension: Provides a Gemini CLI extension enabling natural-language interaction with a Stitch MCP server for generating UIs and managing requests from the terminal.
  • MCP Server & Proxy Tooling: Offers an MCP (Managed Control Plane) workflow and proxy utilities to host a Stitch MCP server, route requests, and facilitate local development/testing.
  • GCP Integration & Authentication: Integrates with Google Cloud tooling (gcloud) for authentication, Application Default Credentials, project selection, and IAM role setup required to enable the Stitch API.
  • CLI-based Setup & Diagnostics: Includes command-line installers and setup commands (e.g., npx @_davideast/stitch-mcp init) that automate installation, enable APIs, configure credentials, and diagnose setup issues.
  • Generates UI designs for mobile and web from prompts, sketches, or images
  • Hosted Stitch web application for interactive design ideation
  • Stitch MCP API for programmatic access and server integration
  • Gemini CLI extension to interact with Stitch via natural language commands
  • MCP proxy server capability for local/dev proxying of Stitch MCP
  • CLI-driven setup and provisioning (npx init, gemini extensions install)
  • Google Cloud authentication support (gcloud auth, Application Default Credentials)
  • IAM-based access control requirements and project-level service enablement

Best for

  • Rapid Design Ideation: Quickly generate multiple UI concepts from a brief or sketch to explore interface directions during early-stage product design.
  • Sketch-to-Prototypes: Convert hand-drawn sketches or screenshots into digital UI screens that designers can refine and iterate on.
  • Developer Handoff Automation: Produce consistent UI outputs that designers can export or hand off to developers along with configuration for Stitch MCP to streamline implementation.
  • CLI-driven Design Workflows: Integrate UI generation into terminal-driven workflows using the Gemini CLI extension for teams that prefer code/CLI environments.
  • Enterprise Self-hosting & Control: Deploy and run a Stitch MCP server with GCP integration and IAM controls to maintain access governance and combine Stitch with internal toolchains.
  • Local Development & Testing: Use the MCP proxy and diagnostic commands to test Stitch-generated UIs and API interactions in local or staging environments before production rollout.
  • Rapid design ideation and exploration of mobile/web UI concepts
  • Convert sketches or screenshots into polished UI screens for prototyping
  • Automated UI generation in developer workflows via CLI or API
  • Integrating AI-driven UI generation into a Google Cloud-based toolchain
  • Local development and testing using an MCP proxy server
  • CI/CD automation to generate or refresh design assets programmatically
View Google Stitch details
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openrig

mvschwarz

Free

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.
View openrig details