Kylon vs Gumloop

Gumloop alternative for teams that need the work finished.

Gumloop is a builder: you configure an agent, then chat with it. Kylon puts the agent in the room where the work is already discussed, on the records the work runs on, with the review step in the same thread as the request.

Choose Gumloop if

Someone on your team owns automation and wants a deep builder: subagents, skills, evaluations, and approval rules written per tool.

Choose Kylon if

The person with the problem should be able to ask for the work themselves, and see the result and the approval in the room they already use.

A Kylon room called campaigns. Someone asks for the weekly ad review, an agent answers with a summary card, and nothing is changed in the ad account until a person approves it.
One request, one thread: the ask, the agent's finding, and the approval that has to happen before anything changes. Screen carries invented data.

01 One real case

The weekly ad review, in a builder and in a room

Same piece of work, same team. The difference is not how clever the agent is, it is who has to be involved and where the finished result ends up.

Someone notices the spend is off
In a builderThey tell whoever owns the agent, because building and configuring one is its own job.
In KylonThey ask in the room where the campaign is already discussed, in their own words.
Getting the context
In a builderThe agent searches the sources you indexed into Company Brain, and answers with citations.
In KylonThe agent reads the thread, the records the team keeps in that room, and the connected ad account.
The result
In a builderIt comes back in the agent chat, and can be kept as an artifact that gets indexed for reuse.
In KylonA card in the thread, plus one row per change in the Campaign Log the whole team can sort.
The approval
In a builderAn approval card in the chat, the notification bell, the Tasks page, or a Slack message.
In KylonIn the same thread as the request, by the person who asked for it.
Next week
In a builderYou correct the agent and have it rewrite its own instructions or turn the correction into a skill.
In KylonKeep it as a saved workflow that runs on Monday and posts into the same room.

Gumloop behaviour above is described from Gumloop's own documentation: Agents, Brain, and Human in the Loop. Checked 11 September 2026.

The same Kylon room after approval. Four applied changes are written to a Campaign Log table with the reason and the person who approved each one.
Where the finished result lives: a record with the reason and the approver on every row, in the room the work was asked for. Screen carries invented data.

02 Who each product is for

Not every team should pick the same one.

Gumloop is the right answer when

Someone owns automation as a job. They want a deep builder with subagents, skills and evaluations, and approval rules written as expressions over the actual arguments of a tool call.

Gumloop is also stronger when

You want a published per credit price you can reconcile line by line, and unlimited seats while only one or two people ever open the builder.

Kylon is the right answer when

The people who need the work done are not the people who would build the agent. The request starts as a message in a team room, and the answer has to land there too.

Kylon is also the answer when

The output has to be a record the team can act on, and the person who signs off should see it next to the request rather than in a separate queue.

03 Operating model

Six decision dimensions

Operating models, not a checklist. Every statement about Gumloop cites Gumloop's own documentation or pricing page. Checked 11 September 2026.

The work starts in
GumloopA chat with an agent you configure in a two tab builder covering Agent Preferences, Triggers, Connectors, Skills, Subagents and Abilities. The documented way to get a useful one is to run a real task in that chat, then tell the agent to write its own instructions.Source: Agents, Gumloop docs
KylonA message in the room where that work is already discussed. The request, the run and the result stay in one thread the team is reading anyway.
Business context
GumloopCompany Brain indexes connected sources such as Google Drive, Notion, Slack, GitHub and Confluence, and agents search it with citations. Brain is available on the Pro and Enterprise plans.Source: Brain, Gumloop docs
KylonThe thread itself, the records the team keeps in the room, and the agent's own memory. Connected services stay where they are, nothing has to be indexed first.
Structured output
GumloopResults come back in the agent chat. Artifacts an agent produces can be indexed at personal or team level so it can search and reuse past outputs, with only the newest version indexed.Source: Brain, Gumloop docs
KylonRecords in a workspace App, drafts, and saved workflows. The output is a row the team can sort, filter and act on, not only a message.
Human handoff
GumloopPer app approval presets are Always allow, Ask each time, Ask for writes and deletes, and Custom per tool. App Rules add conditional approval as CEL expressions over the actual arguments. Approvals arrive in chat, the notification bell, the Tasks page, or Slack.Source: Human in the Loop, Gumloop docs
KylonReview happens in the thread the request came from. Email leaves as a draft a person sends, and sensitive actions wait for someone in the room.
Who can ask
GumloopWhoever configures and runs the agent. Seats are unlimited on both plans, and team members can share credentials, collaborate on agents and draw on the same pool of credits.Source: Gumloop pricing
KylonThe person with the problem, in their own words, in the room they already work in. Nobody has to own a builder first.
Best fit
GumloopDeep, configurable agents for the person who owns automation: subagents that delegate in parallel, skills the agent writes itself, evaluations, and approval control down to a single tool call.Source: Agents, Gumloop docs
KylonCase dependent, cross functional work, where the discussion, the record and the person who signs off belong in one place.

04 Use cases

Four cases, written the way people ask for them

Each one starts as a message in a room. What comes back is a result someone can act on, plus the approval step in the same place.

Campaign review

Which campaigns are under our cost per signup rule, and where should the budget go instead?

A decision card in the room and one row per change in the Campaign Log, applied only after someone approves it.

Customer feedback into product work

Anything in support this week that should become an issue?

Grouped themes in the thread, and issues created with the original quotes attached to each one.

CRM follow up

Who from last week's demos has not heard back from us?

A list with an owner per account, and a draft reply waiting for that owner to read and send.

Weekly operating report

Put Monday's numbers together with what changed and why.

One post in the room with the figures and where each came from, kept as a workflow that repeats.

05 Switching

Switch without rebuilding anything

Nothing has to move on day one. The flows that already run are not the part that hurts.

  1. 01

    Keep your Gumloop agents running

    Fixed, well understood automation can stay exactly where it is. Nothing is imported and nothing is rewritten.

  2. 02

    Connect the tools, not the flows

    Point Kylon at the same services your team already uses, and set what each agent is allowed to reach.

  3. 03

    Bring one case into a room

    Pick the work that changes case by case, the kind that makes you reconfigure a builder every time. Ask for it in the room and review what comes back.

  4. 04

    Keep it if it should repeat

    Once the shape settles, save it as a workflow that runs on a schedule and posts into the same room.

Where Gumloop is the better tool

Gumloop's approval model goes further than ours: rules written as expressions over the actual arguments of a tool call, per tool allow and deny, and a published credit price you can reconcile line by line. If your security team wants that level of control written down before an agent touches a system, Gumloop is a real answer today. Kylon trades that depth for agents that live where the team already talks.

Questions people ask

Is Kylon a replacement for Gumloop?
Not if you have someone whose job is building automations and who wants a deep builder to do it in. Kylon is the answer when the person with the problem should be able to ask for the work themselves, in the room where the work is already discussed.
Do we have to rebuild our Gumloop flows?
No. Start with one recurring piece of work, ask for it in a room, and keep it as a saved workflow if it should repeat. Nothing has to move on day one.
Does anything get sent automatically?
Email is drafted for a person to send, and sensitive actions wait for approval before they execute.

Keep reading

The person with the problem should be able to ask for the work.

Start with one workflow. Ask for it in the room where the work is already discussed, give the agent the records and tools it needs, and review what it hands back before anything ships.