Gumloop
No‑code AI automation platform for agent-powered workflows
Gumloop is a no-code AI automation platform that lets you build workflows with a drag‑and‑drop canvas. It connects your data, apps, and AI models so you can run multi-step, trigger-based automations. Designed for teams across marketing, sales, operations, engineering, and support.
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About
Gumloop is a general-purpose AI automation platform that combines data, third‑party apps, and AI into visual workflows. You build flows using a drag‑and‑drop canvas and nodes, then let them run automatically based on triggers or webhooks. It’s aimed at business and technical teams that want to orchestrate AI agents and automations without writing much code.
The product targets teams across marketing, sales, operations, engineering, and support. From the examples shown, you can wire up social platforms, internal tools, and communication apps to do things like categorize comments, generate reports, and push summaries into Slack. Setup appears to be entirely web-based: you create an account, design flows on the visual canvas, connect apps like Google Sheets, Google Cloud Storage, Mailgun, Typeform, Slack, and social channels, and then configure triggers and concurrency limits. Higher tiers add collaboration features, security controls, and deployment options such as virtual private cloud.
Gumloop is built to be more agentic than a simple AI chat tool: it supports triggers, concurrent flow runs, list processing steps, and a built‑in "Gummie Agent" plus AI, MCP, and custom nodes. That means you can design multi-step workflows that run on their own, react to events, and interact with external services. According to their pricing and comparison pages, you can also bring your own API keys, which suggests flexibility in choosing AI providers, and enterprise customers get model access controls and flow queuing for more robust operations.
However, many technical details are not spelled out publicly. The site doesn’t state which AI models are used by default, how long run histories or data are retained on non‑enterprise plans, or the exact limits tied to different credit levels beyond rough tiers. While there is a row for "SOC2 Type 2 & GDPR Compliance" and features like audit logs, custom data retention, and virtual private cloud on the Enterprise plan, implementation details aren’t described. If you need an open-source framework or deeply programmable agent infrastructure, Gumloop is more of a managed, no‑code platform than a low‑level developer library. Conversely, if you just want a simple chatbot and not full workflow automation, this may be more power (and complexity) than you need.
Handles multi-step tasks with guidance
Gumloop is a capable AI automation platform that enables complex, multi-step, event-driven workflows across many external tools, with embedded AI and agent-like nodes. It offers strong action capabilities and enterprise-grade governance but operates within user-defined flows, with limited evidence of deep autonomous planning, sophisticated error recovery, or rich long-term agent memory. Overall it fits a Level 2 agentic system: powerful orchestration and tool use, moderate autonomy, strong safety controls, but not fully self-directed or highly adaptive agents.
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- Free: Free forever; 2k credits/month, 1 seat, 1 active trigger, 2 concurrent runs, access to Gummie Agent, forum support, unlimited nodes and flows.
- Solo ($37/mo): Starts at 10k+ credits/month; everything in Free plus unlimited triggers, 4 concurrent runs, webhooks, email support, and bring-your-own API key.
- Team ($244/mo): Starts at 60k+ credits/month; everything in Solo plus 10 seats, 5 concurrent runs, unlimited workspaces, unified billing, dedicated Slack support, and team usage & analytics. Includes a 14-day free trial.
- Enterprise: Custom pricing; everything in Team plus role-based access control, SCIM/SAML SSO, admin dashboard, audit logs, custom data retention rules, regular security reports, data exports, incognito mode, AI model access control, virtual private cloud, and flow queuing. Pricing not publicly available.
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