Gumloop
Gumloop is an AI automation framework designed to help businesses execute their workflows more efficiently. With a 'no-code' approach, users can build, host and...
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What is Gumloop?
Gumloop is a no-code AI automation platform that enables users to build and deploy AI agents and visual workflows through a drag-and-drop canvas interface. Understanding a task is the only prerequisite to automating it—users don't need to be AI experts or engineers. The platform combines two fundamental concepts: agents (AI-powered assistants that use tools to solve tasks autonomously) and workflows (visual automations that let agents run automatically on schedules, in bulk, or triggered by events).
Key features include 115+ pre-built blocks for accelerating workflow creation, a node-based visual editor accessible without coding skills, native MCP protocol support for connecting external AI data sources, and best-in-class capabilities for web scraping and PDF document processing. Gumloop is model-agnostic, offering every major AI model out of the box without vendor lock-in—including OpenAI's GPT-4.1 and GPT-5, Anthropic's Claude models, Google's Gemini, and DeepSeek. Users can route different workflow parts to different models to optimize for cost or quality. The platform also includes Gummie agent that generates workflows from natural language descriptions, Chrome extension for recording browser actions, Skills (reusable capabilities for agents), and Subflows for plugging workflows into others.
Gumloop is designed for businesses and individuals who want to automate repetitive and complex workflows end-to-end with AI. It's particularly valuable for teams in data analysis, customer support, sales/CRM, recruiting, and marketing who need to operate at 10x the speed of writing code. Enterprise customers like Gusto use Gumloop to power AI agents that drive revenue, reduce churn, and elevate rep performance. The platform integrates with Slack, Microsoft Teams, Gmail, and WhatsApp, allowing teams to interact with agents like co-workers by simply tagging @Gumloop.
Gumloop pricing
Pricing model: Freemium
Gumloop offers a Free plan with 5,000 credits per month, 1 seat, 1 active trigger, 2 concurrent runs, and 5 concurrent agent interactions, plus forum support. The Free tier includes standard models (GPT-4.1 Nano, GPT-5 Mini/Nano, Claude 3.5 Haiku, Gemini 2.5 Flash) and is best treated as an evaluation plan rather than serious production. Solo/Team plans include all Standard, Advanced (GPT-4.1, Claude 4 Sonnet, Claude 3.7 Sonnet, Gemini 2.5 Pro), and Expert models (GPT-5, Claude 4 Opus). The Pro plan starts at $37/month with unlimited seats. Credits are transparent: standard AI calls cost 2 credits, advanced calls cost 20 credits. Annual billing options include Basic plan at $180/year (save 20%), Business plan at $280/year (save 20%), and Enterprise plan at $480/year (save 20%).
Gumloop pros
- Intuitive node-based visual editor accessible without coding skills
- 115+ pre-built blocks to accelerate workflow creation
- Gummie agent generates workflows from natural language descriptions
- Best-in-class for web scraping and PDF document processing
- Native MCP protocol support to connect external AI data sources
- Model-agnostic with every major AI model out of the box
- No vendor lock-in—can switch between OpenAI, Anthropic, Google, DeepSeek
- Chrome extension records browser actions for web automation
- AI-native design treats LLM processing as first-class automation step
- Batch processing handles large-scale operations with rate limiting
- Transparent credit-based pricing—standard calls cost 2 credits, advanced 20
- Skills allow creating reusable capabilities for any agent
- Subflows enable plugging one workflow into another
- Zero Data Retention—Gumloop never uses customer data to train AI models
- SOC 2 Type II certified and GDPR compliant with enterprise security
- Role-based access control with scoped access for teams
- Virtual private cloud deployments available for own cloud infrastructure
- Real-time organization-wide credit usage monitoring with budget controls
- Audit logging captures detailed trails for actions across organization
- Integrates with Slack, Teams, Gmail, and WhatsApp for team collaboration
Gumloop cons
- Credit system complexity—costs can escalate on intensive workflows
- Learning curve despite visual interface for advanced use cases
- Fewer native integrations compared to Zapier or Make
- Overkill for simple automations already handled by free tools
- Credit consumption adds up fast with heavy AI model usage
- Complex workflows become visually cluttered on canvas
- Limited debugging tools when workflow steps fail
- No annual billing discounts advertised—monthly-only pricing
- Limited instant support—no live chat option on website
- Error messages don't always pinpoint root cause in multi-step flows
Frequently asked questions about Gumloop
What are agents and workflows in Gumloop?
Agents are AI-powered assistants that use tools to solve tasks for you autonomously—they receive a goal and set of tools, then figure out how to accomplish that goal. Workflows are visual, drag-and-drop automations that let agents run automatically on a schedule, in bulk, or triggered by events like webhooks or app events. Agents handle multi-step tasks with reasoning, while workflows provide predictable, structured automation paths.
Do I need to be an AI expert or engineer to use Gumloop?
No. Gumloop is built as a no-code platform with a drag-and-drop canvas interface. Understanding a task should be the only prerequisite to automating it. The platform provides 115+ pre-built blocks, the Gummie agent that generates workflows from natural language, and intuitive visual editing so any person or business can automate work without being AI experts or engineers.
Which AI models does Gumloop support?
Gumloop is model-agnostic and offers every major model out of the box without vendor lock-in. This includes OpenAI's GPT-4.1 Nano, GPT-5 Mini/Nano, GPT-4.1, and GPT-5; Anthropic's Claude 3.5 Haiku, Claude 3.7 Sonnet, Claude 4 Sonnet, and Claude 4 Opus; Google's Gemini 2.5 Flash and Gemini 2.5 Pro; and DeepSeek. Users can route different workflow parts to different models to optimize for cost or quality on a per-task basis.
How does the credit pricing system work?
Gumloop uses transparent credit-based pricing where standard AI calls cost 2 credits and advanced calls cost 20 credits. The Free plan includes 5,000 credits per month. Credit consumption adds up fast with heavy AI model usage, especially batch workflows using GPT-4.1 or Claude models. Organization-wide credit usage can be tracked in real-time with budget and quota controls to avoid surprises.
Can I interact with agents through Slack or email?
Yes. Gumloop allows teams to interact with agents like co-workers in Slack, Microsoft Teams, Gmail, and WhatsApp. You simply tag @Gumloop and ask—agents can respond to questions, run analyses, or execute tasks. For example, team members can ask @Databot to compare sales data, identify top active users, or analyze onboarding flow issues, with agents responding directly in the chat.
What enterprise security features does Gumloop offer?
Gumloop provides enterprise-grade infrastructure including SOC 2 Type II certification and GDPR compliance, role-based access control with scoped access, virtual private cloud deployments for your own cloud, AI model restrictions with guardrails and spend policies, real-time usage monitoring, detailed audit logging, AI proxy support where you bring your own API keys, Single Sign-On with Okta, and Zero Data Retention agreements ensuring customer data is never used to train AI models.
What is the difference between Flows and Agents?
Flows (workflows) follow a fixed, predictable path where you define each step explicitly—use them when you need deterministic automation. Agents don't follow a fixed path; you give them a goal and set of tools, and they figure out how to accomplish that goal using reasoning—use agents for multi-step tasks requiring human-like decision making. You can also combine both by putting agents inside flows to get predictable structure with flexible AI reasoning.
What are Skills and Subflows in Gumloop?
Skills are reusable capabilities you create once and attach to any agent that needs them—instead of rebuilding the same logic every time, you create a Skill once. Subflows let you take one workflow and plug it into another workflow, enabling modular automation design. Both features help organize complex automations and prevent repetitive work.
Does Gumloop have a Chrome extension?
Yes. Gumloop's Chrome extension records any action you take in your browser and turns it into a repeatable automation. You can record and run custom workflows without leaving your current webpage, and web replays work seamlessly with Gumloop automations. This enables building complex AI-powered automations that go beyond traditional API limitations—if you can do it in your browser, you can automate it.
What pre-built agents are available on Gumloop?
Gumloop offers specialized pre-built agents including: Data Analysis Agent (answers questions from your data warehouse), Support Agent (triages bugs, creates tickets, spots support patterns), CRM Agent (manages deals, researches prospects, keeps CRM updated), Meeting Prep Agent (briefs you before meetings with context from across tools), and Call Analysis Agent (analyzes call recordings for objection patterns, coaching insights, competitive intelligence). These are built by Gumloop team members and can be deployed in minutes.