Gumloop
Summary
Most no-code automation tools hold up fine for linear workflows — the moment you need an agent to loop back on a failed API call, branch on enrichment results, or post to Slack without anyone pressing a button, the canvas runs out of road. Gumloop is built for exactly that gap.
Gumloop lets growth, sales, and ops teams wire together multi-step AI agents that run on their own — pulling from external APIs, enriching CRM records, drafting content, and firing results into Slack or Teams without a human trigger per run. The visual builder handles the common cases well: lead enrichment, meeting prep, competitive research. Branching logic that depends on what a previous step returned is where the ceiling appears — complex conditional paths push teams toward adding custom code nodes, which means they are now maintaining two layers. Security and compliance teams get enterprise-grade controls over AI usage, which matters when rolling out to non-technical employees at scale.
Bottom line: Bet on Gumloop when your team needs to ship a lead enrichment or content scheduling agent without writing a pipeline from scratch — plan for a workaround layer when your branching logic gets deep enough that a code node becomes load-bearing.
Pricing Plans
Usage-Based- Price
- Free to $37/month (Pro) or custom enterprise
- Free Tier
- 5,000 credits/month; 1 seat; 1 active trigger; 2 concurrent runs; 5 concurrent agent interactions; forum support
Free
Entry-level tier with 5,000 credits/month for exploration and prototyping
- 5,000 credits/month
- 1 seat
- 1 active trigger
- 2 concurrent runs
- 5 concurrent agent interactions
- Forum support
- Unlimited agents and flows
Pro
Professional tier with 20,000+ credits/month and full team collaboration
- 20,000+ credits/month
- Unlimited seats
- 5 concurrent runs
- 25 concurrent agent interactions
- Unlimited teams
- Unified billing
- Team usage and analytics
- MCP server hosting (1)
- MCP server proxying (3)
- App policies and guardrails
Enterprise
Enterprise tier with custom credit allocation and advanced security infrastructure
- Custom credit allocation
- Role-based access control
- SCIM/SAML support
- Admin dashboard
- Audit logs
- Custom data retention rules
- Regular security reports
- Data exports
- Incognito mode
- AI model access control
- Virtual private cloud
- Workflow queuing
- Gumstack included
View full pricing on gumloop.com →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Autonomous agent execution without a human trigger per run, which means a prospecting workflow can enrich and qualify leads overnight and surface results in Slack by morning without anyone managing it.
- Provider-agnostic AI model calls inside the canvas, so swapping the underlying model when costs shift or a better option appears does not require rebuilding the workflow.
- Native Slack and Teams integration at the agent output layer, which means results land where the team already works instead of requiring a separate app check that gets ignored.
- Self-hosted deployment option, so teams with data residency or compliance requirements can run agents without sending sensitive CRM or customer data to external infrastructure.
- Non-technical employees can build and modify agents without engineering support, which means ops and marketing teams ship automations without waiting in a sprint queue.
Cons
Sign in to edit- Conditional branching based on what a prior step returned hits the visual model's practical ceiling around the third or fourth branch — teams handling complex qualification logic or multi-path enrichment add code nodes to compensate, at which point they are debugging two systems instead of one.
- Agents that need to maintain state across sessions or resume from a mid-pipeline failure require workarounds the canvas does not natively express — teams with reliability-critical pipelines where a failed API call must retry with context intact end up moving those flows to code-first orchestration tools.
- The free tier caps usage at a fixed monthly credit ceiling, which means any team running high-frequency agents — hourly CRM syncs, real-time lead enrichment at volume — hits the limit quickly and must upgrade or throttle the workflows they just built.
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About
- Platforms
- Web-based platform with Slack, Microsoft Teams, and email integrations
- API Available
- Yes
- Self-Hosted
- Yes
- Last Updated
- 2026-06-04T13:30:27.585Z
Best For
Who it's for
- Growth and marketing teams needing workflow automation
- Sales teams building AI-powered prospecting agents
- Operations teams automating business processes
- Enterprise security and compliance teams managing AI usage
- Non-technical employees building AI automations
What it does well
- Lead enrichment and qualification workflows
- Meeting prep and call analysis automation
- Content generation and social media scheduling
- CRM data synchronization and customer analysis
- Competitive intelligence and market research
Integrations
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Frequently Asked Questions
- Is Gumloop free?
- Gumloop is a paid tool (Free to $37/month (Pro) or custom enterprise). No permanent free tier is offered.
- Is Gumloop open source?
- No — Gumloop is a closed-source tool. Source code is not publicly available.
- Does Gumloop have an API?
- Yes. Gumloop exposes a developer API. See the official documentation at https://gumloop.com for details.
- Can I self-host Gumloop?
- Yes. Gumloop supports self-hosting on your own infrastructure.
- When was Gumloop released?
- Gumloop was first released in 2023.
- What platforms does Gumloop support?
- Gumloop is available on: Web-based platform with Slack, Microsoft Teams, and email integrations.
Hours Saved & ROI Stories Community
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Gumloop is a visual workflow automation platform that lets teams build and deploy AI agents capable of executing multi-step tasks, calling external tools and APIs in loops, and operating autonomously inside tools like Slack and Teams. The core workflow is canvas-based: you connect nodes representing triggers, AI model calls, data transformations, and integrations, then deploy the resulting agent to run on a schedule or in response to external events. Use cases the vendor highlights include lead enrichment and qualification, CRM data synchronization, meeting prep automation, content generation with social scheduling, and competitive intelligence.
The differentiating feature is autonomous agent execution — agents that don’t just run a linear sequence once but can loop, make decisions based on model output, and call back into APIs repeatedly until a condition is met. The vendor describes proactive deployment into Slack and Teams, meaning agents surface results in the channels where teams already work rather than requiring a separate dashboard check.
Gumloop fits best when the workflow is well-defined and the branching is shallow — a growth team spinning up a prospecting agent or an ops team automating a weekly CRM sync will find the visual model sufficient. When conditional logic grows to four or more branches that depend on runtime output, the canvas becomes difficult to reason about, and teams add code nodes to handle edge cases. At that point the tool is no longer purely no-code, and teams evaluating deeply programmatic pipelines will compare Gumloop against code-first orchestration frameworks. A self-hosted option exists for teams with data residency requirements, and an API is available for embedding Gumloop-built agents into external products.