Gumloop is a no-code builder for AI agents that work across the tools a team already uses. Its agents open a real browser, click, type and pull data from any site, with or without an API, and the product documents a password vault for agent logins, session recordings with passwords masked, and a handoff to a person when a site needs one. For operations work that is a genuinely useful shape. The question buyers keep asking is what to pick instead when a hosted builder is the wrong fit, and that question has a specific answer.
What Gumloop is, from its own pages
Gumloop describes itself as agent infrastructure: one teammate builds an agent and the whole org puts it to work, each person in their own chats. Slack, Microsoft Teams and Gmail are surfaces it plugs into, and triggers start a run when a meeting ends, a lead fills in a form or an issue is filed. Pricing starts at 37 dollars a month on the Pro plan, with Enterprise custom (checked October 2026). Every run is scored against rules the team sets.
The pattern is familiar: a hosted product, its cloud, its connectors, its model choices.
What actually pushes a team off a hosted builder
The reasons repeat across the teams that switch:
- The configuration lives in someone else's product, not in a file the team owns. You cannot diff last month's configuration against this month's, or roll one agent back without rolling all of them.
- The connector credentials sit with the vendor. A security review asks where the agent's access is scoped and what stops an agent from calling a tool it should not touch.
- The audit trail is a product feature, not something the team can grep.
- The builder is one tool in the stack rather than the place the whole operation runs.
None of those are defects in Gumloop. They are properties of the hosted shape, and they are exactly why the open-source route exists.
What an open-source alternative changes
Kortix is the open-source AI Operating System. The difference is not a feature list, it is where the system lives: agents, skills, memory, connector configuration and triggers are files in one git repo the team owns, not settings in a vendor's database.
That single decision changes four things a team can verify:
- You run it where you want. Self-host free with one Docker Compose stack, in your own VPC, on-prem, or use the managed cloud. The same configuration works in each.
- Any model, your keys. Kortix is model-agnostic: choose the model per agent, per session or per message, bring your own API key from any major provider, or use the subscription you already pay for.
- Every session gets its own isolated machine, on its own branch, named after the session. The agent can install, run and break anything; only what it commits survives.
- Work reaches main through a change request you review, so the whole operation improves one reviewed change at a time.
Connector credentials are brokered server-side and never enter the machine, per-tool rules can allow, ask or block a call down to its arguments, and every change to an agent or a skill lands as a diff.
If the job is a fixed flowchart, a workflow engine such as n8n is the right tool. If the job is an open-ended piece of work an agent does on its own computer, with the configuration in git and a person approving what it changes, the open-source system is the better fit.
Where to start
If you are evaluating what to use instead of Gumloop, two questions decide it:
- Does the team need to own the configuration, or is a rented builder fine?
- Does the work arrive as a fixed sequence of steps, or as open-ended jobs that need their own machine?
The alternative compared page-by-page, including the pricing shapes and the self-hosting route, is at https://gumloopalternative.com. The code is at https://github.com/kortix-ai/suna and the docs are at https://kortix.com/docs.
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