Gumloop vs Grok Bot: Which is best for you?
Grok Bot gives each person an AI teammate with its own cloud computer. Gumloop is an enterprise-grade agent layer for your whole company.
“Gumloop turned our sales and marketing teams into builders, and saved us thousands of hours of manual work.”
What Gumloop does that Grok Bot can't
Any model you choose (including Grok)
Agents in Slack with your own branding
Live dashboards and docs, on your company's domain
Secure, enterprise-grade credential scoping
Agents and deterministic workflows
Your organizational knowledge, with citations
Gumloop vs. Grok Bot
Grok Bot is built around one person and their computer. Gumloop is built around an organization and its agents.
Gumloop |  Grok Bot | |
|---|---|---|
Platform and collaboration | ||
| Works in the browser | ||
| Desktop and mobile apps | ||
| Agents in Slack | ||
| Agents with their own email inboxes | ||
| Share and collaborate on agents with your whole team | ||
| Team-level shared credentials | ||
AI capabilities & agents | ||
| Multi-model (xAI and other labs) | ||
| Model choice you control (pick per agent, enforce org-wide limits, or use Auto) | ||
| Bring your own key (BYOK) for models | ||
| Set your own model fallback order | ||
| Route model traffic through your own proxy | ||
| Drives a real browser on sites with no API | ||
| Persistent computer that stays signed in to your tools | ||
| Learns a task by watching you do it | ||
| Multiple agents working in parallel | ||
| Agents can invoke deterministic workflows | ||
| Company knowledge base with cited answers | ||
Pricing | ||
| Every model on one bill, at provider cost | ||
| Spend caps you control | ||
Security, compliance, and governance | ||
| SOC 2 Type II | ||
| Single sign-on | ||
| Role-based access control | ||
| Custom roles built from individual permissions | ||
| Credential scoping per agent | ||
| Audit log of every agent action and tool call | ||
| Export logs to your own warehouse | ||
| Virtual private cloud (VPC) deployment | ||
| Run without storing inputs or outputs | ||
| Govern AI tools built outside the platform |
Govern every AI tool from a central plane
Grok Bot is administered from the Cursor dashboard, inherits its tool policy, and shares its connector sign-ins. Gumloop governs at the level of the tool call: which agents may use which connectors and when, plain-English rules that block or flag an action, and one place to watch every MCP server your company uses, including agents you built elsewhere.
Switch to cheaper models, whenever
Pick your models instead of having them picked for you. Grok Bot chooses models for you, and its docs say the mix can change over time with no fixed vendor set. Gumloop gives you 35+ models, including Grok. When cheaper, smarter open-weight models ship, you can capture the savings with a single dropdown, or let Gumloop's Model Router do it for you by sending each message to the cheapest model that will get it right. Choose the model per agent, set your fallback order, BYOK for your existing model contracts, and route traffic through your own proxy. Org-wide allow/deny lists, automatic model fallbacks, and per-tool spend caps are all in the same admin console.
The people who know the work build the agents
Grok Bot gives each person their own Bots on their own computer, and sharing one passes along its configuration but not its access or history. In Gumloop, the person closest to a task builds the agent without engineers, then shares it with a team or the whole company, while IT still decides data access, models, and where it runs.
Gumloop vs. Grok Bot
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