What it does
5 features
Gumloop · Platform for work agents
Product and access
Gumloop is a platform for building and jointly operating agents.
Core features
5 features from provider sources · reviewed on 12 October 2026. Availability and limits are listed below.
Usable AI models
Fixed choice across providers
You pick a model or preset from the list Gumloop maintains, or leave it to the Auto router. Own keys work from the Pro plan for OpenAI, Anthropic, Google, Perplexity, xAI and Fireworks; the docs describe no way to add arbitrary models. On Enterprise, admins can restrict models and route supported providers through their own proxy.
Model families named
- Anthropic (Claude)
- OpenAI (GPT)
- Google (Gemini)
- Meta (Llama, Muse)
- xAI (Grok)
- Moonshot (Kimi)
- DeepSeek
- MiniMax
- Z.ai (GLM)
- Model choice
- Automatic or your choice
- Your own API key
- Yes
- Router or custom endpoint
- No
- Local models
- Not stated
- Depends on
- Plan, Admin approval
The rating covers the generally available main access. Documented · Sources accessed on
Does it fit my task?
2 practical tasks · 3 requirements and limits
A good fit if …
- you want to start agents by cron, webhook or Gmail, Slack and Teams events
- you want to set per connector whether writes and deletes need confirmation
- you want to run agents as a team with shared or personal accounts and a shared workspace
Less suitable if …
- you need SSO, audit logging or connector policies without an Enterprise plan
- you need statements on data region or hosting in Europe; the reviewed pages say nothing on this
Editorial assessment based on provider documentation. Not a product test.
Practical tasks
Editorial examples based on documented features. No product tests performed.
Prepare inquiries
- Your input
- A connected CRM and rules for new inquiries.
- Possible result
- A structured processing suggestion for new inquiries.
- What to check
- Check customer data, action permissions and external messages.
Create a weekly overview
- Your input
- Approved data sources and a schedule.
- Possible result
- A recurring overview from connected applications.
- What to check
- Check sources, schedule and usage.
A structured processing suggestion for new inquiries.
Your possible prompt
Design a process for new requests: capture information, sort it by topic, and create a proposed response. Plan an approval step before external actions.
Adjust the task, data and permissions.
Requirements and limits
Can I use it?
Availability still unclear
Europe & regional availability
Official product and regional sources reviewed. The stated open points still require confirmation from the provider.
Reviewed scope: Product access, feature limits and regional evidence
Reviewed on:
Availability still unclear
Europe: specific availability unconfirmed
Gumloop describes agents and addresses EU/EEA users in its privacy policy, which states that data is transferred to the US. Complete country and feature availability for Europe remains unconfirmed.
Region, reason and source
Region covered: EU/EEA, United Kingdom and Switzerland
Documented reason: The reviewed sources do not provide a complete list of supported countries for this.
Official source · www.gumloop.com · Official source · www.gumloop.com
Accounts & permissions
Based on provider documentation. Permissions depend on the account, integration and organization policies. Review the permissions actually requested before use.
Configuration covered: Gumloop agents in the managed cloud, individual, team or Enterprise organisation
Sources reviewed:
Show all 3 points
Documented
Account used
By default an agent uses the default account of the person running it. The team's shared default account or specific pinned accounts can be used instead. Triggers run with the credentials of the person who created them. With agent-owned credentials, everyone with access to the agent uses the pinned accounts.
Evidence · EvidenceDocumented with conditions
Admin approval
Connector policies, custom roles for connectors, tools and models, audit logging, and SSO with SCIM are listed as Enterprise features. Agent-owned credentials are restricted by default for organisations; an admin enables them per custom role.
Evidence · Evidence
Memory and conversation continuity
3 of 6 criteria documented
Reflections improve saved agent configuration; Brain searches company knowledge.
Agent reflections and separate Brain RAG
Sources accessed:
Documentation by criterion
StoragePartly documented
Storage and scope
Durable changes affect saved agent instructions, skills and triggers; their backend and a personal fact store are not established here.
SelectionDocumented
Selection and timing
Reflections periodically inspect task history and configuration and propose changes; automatic application is configurable.
Edit & deletePartly documented
Inspect, edit and delete
Suggestions and rationales can be reviewed; changes can be applied and reverted. Individual personal memory facts are not described.
Access boundariesDocumented
Agent and channel boundaries
Reflections belong to the respective agent; Brain accesses shared company knowledge.
RetrievalDocumented
Retrieval
Saved instructions and skills affect later work; Brain separately retrieves documents and messages with citations.
New conversationsPartly documented
Session reset and compaction
Configuration changes affect later tasks. Conversation-context reset and compaction are not specified in these sources.
Cost and effort
2 plans · Prices as of 12 October 2026
Prices and included usage
Pricing checked
Pro from USD 37/month with 20,000 credits; an 8% orchestration fee is listed.
| Plan | Price | Included |
|---|---|---|
| Pro | From USD 37/month | 20,000 credits per month; 14-day trial. |
| Enterprise | Custom | Custom allowances and enterprise features. |
- The provider describes tokens and compute at cost plus an 8% orchestration fee; total costs depend on usage.
Setup
Create an account, configure an agent and connect the required applications.
Operation & oversight
Based on public provider documentation. Assessments are editorial inferences from the stated properties. Actual time requirements and reliability have not been measured.
Deployment covered: Hosted agents in the Gumloop cloud with triggers, schedules and webhooks
Sources reviewed:
Editorial assessment
Failures and approvals are surfaced, and triggers switch themselves off after repeated errors. Oversight mainly means re-authorising connections when needed and re-enabling deactivated triggers.
Show all 6 points
Documented
Files and working state
Each conversation runs in its own cloud sandbox, and new conversations start with a fresh working directory. Conversation files are saved with the conversation; team and personal workspaces and installed packages persist across conversations. Python variables are not archived.
EvidenceDocumented
Sign-ins
OAuth tokens renew automatically while the saved authorisation is still valid. An account that cannot work as it is shows a "Reauth needed" badge; you authorise it again and retry the task. For temporary failures the docs advise simply retrying first.
EvidenceDocumented
Starting further runs
Runs start on a cron schedule or once, through a webhook URL, or on app events such as Gmail, Outlook, Slack and Teams. With AI Managed on, the agent can create and manage its own triggers; webhook changes need your approval.
EvidenceDocumented
Human intervention
Per connector you set whether tools are always allowed, need confirmation each time, or only for writes and deletes. Approvals appear in the chat, the notification inbox, the tasks page and the Slack thread. A gated call does not run without explicit consent.
EvidenceDocumented
Detecting errors
A trigger's task history lists all its runs and filters by completed, approval required and failed. After three consecutive failed runs a trigger is deactivated, and the owner is told by email, Slack DM and in the app.
Evidence
Evidence and open questions
3 sources · 2 open points
Open points
The reviewed sources contain no reliable information on these points. A gap says nothing about the product.
Europe: Availability still unclear
Requirements and limits: not yet confirmed
Sources and evidence
Official product documentation reviewed. Workflows and assessments are editorial; hands-on product tests are outside the scope of this directory.
Editorial team: Michael Meierhoff · sources reviewed on . Provider information is not independent evidence of performance.
Provider
Company behind the Gumloop platform.
- Operator
- AgentHub Inc.
- Organization
- Company
- Website
- www.gumloop.com