Gumloop

What is Gumloop?

Gumloop is an AI agent builder and workflow automation platform operated by AgentHub Inc. It provides a visual environment for creating agents and multi-step processes that use connected applications, company information, web data, AI models, and business rules.

A typical Gumloop workflow might research a prospect, extract information from several web pages, classify the results, update a CRM record, and send a message to a team channel. Other workflows can process documents, prepare reports, analyze structured data, or respond to events from connected applications. The platform supports both interactive agents and automations that run through schedules, webhooks, APIs, or application events.

How people use Gumloop

Gumloop is most useful when a task crosses several systems or requires a mixture of fixed automation and AI judgment. A user can start with an agent or workflow, describe the desired outcome, connect the required services and data, and specify the permissions and steps the process should use.

The AI portion can handle tasks such as extraction, classification, summarization, research, drafting, and decision support. Conventional workflow steps can then pass data between services, apply conditions, run code, or update records. This combination distinguishes Gumloop from a general-purpose chatbot and from simpler trigger-and-action automation tools: it is intended to coordinate reasoning and business actions in the same process.

Common workflows

• Sales and revenue operations: Research prospects, qualify leads, enrich records, and update CRM systems.
• Research and data collection: Search or crawl websites, extract structured information, and produce reports with source references.
• Support operations: Process tickets, classify requests, retrieve internal information, and route or update cases.
• Marketing and SEO: Automate research, competitor monitoring, content-related tasks, and advertising workflows.
• Internal operations: Create scheduled reports, process documents and invoices, analyze spreadsheets, and synchronize information between applications.
• Team assistants: Make agents available through Gumloop, Slack, Microsoft Teams, Gmail, APIs, or other supported triggers.

Agents, workflows, and company knowledge

Gumloop combines custom agents with reusable workflows, skills, connected tools, and shared organizational context. Agents can use files, application data, web research, code sandboxes, browser interaction, MCP servers, and other workflows or agents. This allows a team to create specialized processes rather than relying on a single general-purpose prompt.

Company knowledge can include shared files, repositories, skills, and other organizational information. The practical value depends on how carefully the data sources, permissions, instructions, and outputs are configured. Production agents may require meaningful setup, especially when they have access to multiple systems or can make changes in them.

Integrations and deployment

Gumloop documents more than 100 built-in or native integrations, while other official materials describe more than 300 supported integrations. Examples include Gmail, Slack, Microsoft Teams, Google Sheets, Google Drive, Google Calendar, Notion, GitHub, Salesforce, HubSpot, Linear, Jira, Confluence, Amazon S3, Shopify, Zendesk, Gong, Apollo, and Semrush. Availability can vary by plan and product configuration.

Agents and workflows can run in the web application or be exposed through Slack, Microsoft Teams, Gmail, REST APIs, webhooks, schedules, and event-based triggers. A Chrome extension supports browser-session replay, scraping, and triggering Gumloop flows. The platform also supports external and custom MCP servers, which can extend the tools available to an agent.

For comparison, products such as n8n, Dify, and Botpress also address workflow or agent construction, but Gumloop's emphasis is on combining business integrations, AI agents, web research, and operational deployment in one managed workspace.

Models and technical control

Gumloop publicly documents access to more than 35 models and providers. Documented examples include Anthropic Claude, OpenAI GPT models, Google Gemini, xAI Grok, Perplexity, DeepSeek, and Fireworks AI open models. Exact availability depends on the model selector and plan.

Users can select models and, where supported, connect their own third-party API keys. The platform also provides APIs, Python and JavaScript SDKs, code execution, model restrictions, connector policies, and other controls for teams that need more than a purely no-code setup. This makes Gumloop suitable for nontechnical builders, while still providing options for engineering and IT teams.

Pricing and access

Gumloop's current public pricing lists a Pro plan starting at $37 per month. Pro includes 20,000 monthly credits, unlimited agents, 35 or more models, unlimited seats and teams, collaboration features, one hosted MCP server, and agent-scoped connector policies. The pricing page also lists an 8% orchestration fee.

Usage is not simply a fixed per-workflow allowance. Credits and costs can depend on model tokens, tool calls, compute, and workflow activity. The Pro plan lists five concurrent workflow runs and 25 concurrent agent chats. Gumloop advertises a 14-day Pro trial, but the current public pricing page does not list a continuing free plan. Enterprise pricing is custom and adds capabilities such as governance, security controls, audit logs, analytics, custom retention, and optional VPC deployment.

Privacy and enterprise considerations

Gumloop states that premium-user uploaded data, flows, and chats with created agents are not used to train AI models. Its privacy materials also describe agreements with OpenAI and Anthropic covering data sent through Gumloop's API. These protections are described in relation to particular usage categories and plans, so organizations should review the current policy and contractual terms before sending sensitive information.

The company's trust materials list SOC 2 Type II, GDPR, and HIPAA compliance. Enterprise controls include role-based access, SSO through SAML or SCIM, audit logs, model access restrictions, connector policies, spend and usage monitoring, custom retention rules, data exports, incognito mode, and optional VPC deployment. Credential isolation and customer API keys or proxies are also documented.

Strengths and limitations

Where Gumloop fits well

• Teams need agents that can take actions across several business applications.
• Workflows require both AI reasoning and predictable automation steps.
• Operations, sales, support, research, or marketing teams want to build processes without developing every integration themselves.
• An organization needs deployment through chat tools, APIs, schedules, or events rather than only a web chat interface.
• IT needs controls over connectors, models, permissions, usage, retention, and auditing.

Important limitations

• Credit-based and usage-based billing can make the cost of complex or high-volume workflows difficult to predict.
• Building reliable production agents requires careful configuration of instructions, data sources, permissions, integrations, and failure handling.
• The product is broader and more complex than a personal chatbot or a lightweight automation service.
• Enterprise governance and VPC deployment require custom arrangements rather than the standard Pro price.
• Model and integration availability can vary by plan, and AI-generated results still require review for important business decisions.
• No dedicated native mobile or desktop application was verified; Gumloop is primarily a web and connected-workspace product.

Who should use Gumloop?

Gumloop is a strong fit for operations, sales, marketing, support, research, revenue operations, and engineering teams automating work across multiple systems. It is particularly relevant when a process needs web research, structured extraction, company knowledge, model selection, and application actions in one workflow.

It is less suitable for someone who only wants a simple conversational assistant, a dedicated image or video generator, a standalone search engine, or highly predictable per-task pricing. Teams with sensitive data should also evaluate the applicable plan, retention settings, integrations, and contractual privacy terms before deploying production agents.