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

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

Gumloop logo

Gumloop

Gumloop

Freemium

A no-code platform to build, host, and automate AI-powered business workflows with visual canvas and pre-built templates.

Key features

  • Visual Workflow Canvas: Drag-and-drop interface to design multi-step automations and agent flows visually, enabling non-developers to build complex sequences of actions and decision logic.
  • Pre-built Template Library: 90+ ready-made templates for common use cases (marketing, SEO, advertising, scraping) to speed up workflow creation and standardize processes.
  • Browser Automation Extension: Chrome extension for automating web tasks (form filling, data extraction, navigation) directly in the browser and integrating browser actions into workflows.
  • Multi-LLM Workflow Support: Ability to orchestrate multiple large language models within a single flow, allowing specialized models or chained prompts for different sub-tasks.
  • Hosting & Deployment: Built-in hosting to run and manage workflows in production without separate infrastructure, simplifying deployment of automations.
  • Integrations & API Connectors: Connectors and API endpoints to integrate external services, fetch data from web sources, and interact with backend systems within flows.
  • Marketing-Focused Capabilities: Templates and features tailored for SEO audits, ad campaign generation, and content workflows to reduce manual marketing work.
  • Web Scraping & Data Extraction: Tools and nodes designed to scrape websites, parse content, and feed structured data into downstream automation steps.
  • Visual node/flow canvas for building automations
  • 90+ pre-built templates for common workflows
  • Chrome extension for browser/web automation
  • Support for multi-LLM workflows (orchestrate multiple model calls)
  • Hosted runtime to build and run automations
  • APIs/endpoints for managing flows and OpenAPI specs
  • Extensible integration points for third-party services
  • Community-contributed FastAPI integration examples

Best for

  • SEO Automation: Run recurring SEO audits, generate optimized content drafts, and push recommendations into CMS or reporting tools using pre-built templates.
  • Ad Campaign Generation: Automatically create, refine, and deploy ad copy and asset variants by orchestrating LLMs and marketing rules in a visual flow.
  • Web Data Extraction: Scrape product listings, pricing, or lead data from websites using the Chrome extension and feed results into CRMs or analytics pipelines.
  • Browser Task Automation: Automate repetitive browser tasks such as form submissions, account creation, or multi-step data retrieval as part of larger workflows.
  • Multi-LLM Orchestration: Chain different language models for specialized tasks (summarization, fact-checking, rewriting) to improve output quality and reliability.
  • Operational Workflows: Build and host customer-support or sales automation flows that combine web data, model reasoning, and external integrations without custom code.
  • Marketing automation: SEO workflows, ad campaign generation and management
  • Web scraping and browser-based data extraction
  • Automating routine business tasks with no-code flows
  • Orchestrating multi-model pipelines for content generation
  • Integrating OpenAPI-backed services into automated workflows
View Gumloop 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