Lindy vs Gumloop: AI Agents or Visual Pipelines? (2026)
Lindy and Gumloop both automate work with AI, but they hand you two different tools. Lindy is an AI agent builder: you brief an agent and give it a trigger — an incoming email, a submitted form, a calendar event — and it runs the task end to end, drafting replies, booking meetings, or updating records on its own. Gumloop is a no-code visual builder: you drag nodes onto a canvas, wire them into a pipeline (scrape a page, enrich a lead, summarize with a model, write to a sheet), and run it on demand or on a schedule. One delegates judgment to an autonomous agent; the other gives you a workspace to design the exact steps yourself. Which fits depends on whether you want to brief a worker or build a machine — name that, and the choice gets easy.
The One-Sentence Answer
Use Lindy when you want event-triggered AI agents that act on their own; use Gumloop when you want to build and run visual, node-based data and content pipelines yourself.
Side-by-Side Comparison
| Lindy | Gumloop | |
|---|---|---|
| What it is | AI agent builder — autonomous agents triggered by events | No-code visual workflow builder on a node canvas |
| How you use it | Brief an agent in plain language, set a trigger, let it run | Drag and connect nodes into a pipeline, then run it |
| Primary mode | Agent acts end to end (email, meetings, follow-ups, CRM) | You design each step; the pipeline executes it |
| Best-known use cases | Inbox triage, scheduling, lead follow-up, ops agents | Data enrichment, lead gen, content ops, GTM and research workflows |
| Billing unit | Credits that scale with step count and model size | Credits charged per node in a run |
| Price (2026) | From $49.99/month (Plus); Pro $99.99, Max $199.99; no free plan | Free (5,000 credits/month, 1 seat); Pro $37/month (20,000+ credits, unlimited seats); Enterprise custom |
| Integrations | Thousands of apps by Lindy’s own count (native plus Pipedream) | Connectors plus code and API nodes; bring-your-own AI keys supported |
| Cost control lever | Model choice; credit quotas not publicly published | Bring your own API keys to drop AI-node cost toward 1 credit |
| Best fit | People who want to delegate a task to an agent | Builders who want to assemble a repeatable pipeline |
When to Use Lindy
- The trigger is an event and you want a response without supervising it — a lead emails in, and an agent replies and books the call
- You think in terms of “handle this for me” rather than “here are the exact steps”
- The work spans inbox, calendar, and follow-ups more than it spans data transformation
- You want templates and a fast path from idea to a running agent
- You’re comfortable with assistant-tier pricing ($49.99/month entry, no free plan since the early-2026 repricing)
Lindy’s strength is autonomy: you describe the outcome and set a trigger, and the agent decides how to get there, including a “Computer Use” mode that drives a website directly when there’s no API. The trade-off is transparency and cost predictability — Lindy repriced in early 2026 and no longer publishes its credit quotas, so heavy, multi-step, large-model usage can move the real bill well above the sticker plan.
When to Use Gumloop
- You want to see and control every step of the workflow on a visual canvas
- The job is data or content shaped: scrape, enrich, classify, summarize, generate, then write somewhere
- You’re running GTM, marketing, support, or research operations at volume — lead qualification, competitor analysis, SEO tasks
- You want a genuinely free tier to prototype on before paying
- You already pay for OpenAI or Anthropic and want to bring your own keys to cut AI-node credits
Gumloop’s strength is that the pipeline is explicit and repeatable: because you build it node by node, you know exactly what runs and can reuse it across many inputs, including batch runs. The trade-off is that you are the builder — the workflow does what you wired, no more, and credit costs climb as you add AI nodes, batch processing, and steps, though bringing your own API keys pulls the per-node AI cost down sharply.
The Trigger-vs-Canvas Trade-Off
The honest split is about who does the thinking. Gumloop wants you to encode the logic: every branch, enrichment, and model call is a node you place, which is powerful when the process is well defined and you’ll run it many times. Lindy wants you to hand off the logic: you brief an agent, and it interprets each situation as it fires, which is powerful when the work is judgment-heavy and varies case to case. Neither is “smarter” — they’re bets on where you’d rather spend effort, up front in the build or up front in the briefing. Both, notably, still leave the running and the watching to you: a Gumloop pipeline waits for you to trigger and monitor it, and a Lindy agent typically drafts and defers to your approval on the steps that matter.
If you’d rather delegate the outcome than build the pipeline or brief the agent, an AI assistant like Carly sits in that third spot — its agents each have their own email address and reply to people, book meetings, and update your CRM on their own across 200+ integrations, set up by describing what you want in plain English, starting at $35/month.
Quick Reference
| Your situation… | Pick… |
|---|---|
| ”When an email or form comes in, handle it for me” | Lindy |
| ”Scrape, enrich, and summarize 500 leads into a sheet” | Gumloop |
| I want to see and control every step | Gumloop |
| I want to brief an agent and walk away | Lindy |
| I want a free tier to prototype on | Gumloop |
| I run thousands of steps a month | Compare credit math on both; also see n8n |
FAQ
Is Lindy or Gumloop cheaper? Gumloop starts lower — it has a free tier (5,000 credits/month) and a $37/month Pro plan, while Lindy starts at $49.99/month and dropped its free plan in the early-2026 repricing. But both meter by credits, so the real cost depends on your steps and model choices. Gumloop lets you bring your own API keys to cut AI-node cost; Lindy no longer publishes its quotas, so model a real month on each before deciding.
Can Gumloop do what Lindy does? Partly, from the other direction. Gumloop can build agent-style workflows on its canvas, but you assemble and trigger them; Lindy is built around agents that fire on events and run autonomously. If you want to define the steps, Gumloop fits; if you want to delegate the steps, Lindy fits.
Do people use both? Yes. Some teams build repeatable data and content pipelines in Gumloop and use Lindy for the judgment-heavy, event-triggered agent work. That also means two credit meters running at once, so watch the combined spend.
What if I want the task actually finished, not just built or drafted? Both tools leave you running the pipeline or approving the agent’s drafts. If you want the outcome completed for you — replies sent, meetings booked, records updated — an email-native assistant like Carly does the finishing step from its own inbox, starting at $35/month.
Related: Lindy vs Zapier · Lindy vs n8n · Gumloop alternatives
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