Vybe vs Zapier vs Grok Team Bots

Specialized coworkers with their own responsibilities and tools.

Zapier Agents can act independently or respond in chat.

Shared Team Bots built around a role, each with context, plugins, credentials, and memories; public beta on Teams and Enterprise plans.

Shared conversations and Slack threads with people and AI.

Shared agents, folders, and pods.

Everyone works with the same Bot and its expertise, while each person's conversations and memories stay private.

In-app chat, Slack, and email; other channels require setup.

Agents chat on the web and run from app triggers; Slack and Teams touchpoints run through Zap triggers and actions.

Slack with a dedicated handle per Team Bot, alongside the Grok Bot app.

Delegate work to other AI coworkers.

Not offered: work runs inside a single agent or AI step; no delegation between specialized agents documented.

Bots pass context between each other, hand off tasks, and can pass ownership so you are not the router between tools.

Persistent memory, company knowledge, and reusable skills.

Connected knowledge sources; persistent learned memory not verified here.

Team Bots keep separate context and memories per person while drawing on skills shared across the team.

Schedules, events, and follow-ups with run history.

Agents run from configured triggers and instructions.

Routines run on a schedule or, where supported, after an event; background routines run while the laptop is closed.

Hosted browser with persistent sessions; browser service required.

Not offered: agents act through app actions and tools; no controlled-browser capability documented.

Every Bot runs on a persistent cloud computer with a browser, filesystem, and terminal, and can log in to services in that browser.

Supported meeting recording, transcripts, and follow-up; meeting service required.

Not offered: meeting tools connect through Zaps; no native meeting recording or transcription documented.

Not offered: connectors cover Gmail and Outlook calendars, but no meeting recording or transcription is documented.

Prebuilt connectors and custom integrations.

Thousands of connected apps and actions.

Built-in connectors, a preconfigured connector catalog, and custom MCP servers.

Build apps with AI, inspect code, and iterate in a live preview.

Forms and Tables alongside workflows; a different app-building approach.

Bots steer Cursor Projects and launch Cloud Agents for code work; no interactive app-building surface documented.

Private, individual, and organization-wide app sharing.

Forms and Tables sharing varies by product and plan.

Not offered: Bot share links are public previews on x.ai; no internal publishing surface documented.

Role-based access for owners, admins, editors, and members, with apps kept private, shared, or organization-wide.

Not offered: Tables sharing uses per-table and per-view roles (Owner, Editor, View only), not per-row permissions.

Not offered: access follows connector permissions such as permission-aware Google Drive; no per-row data permissions documented.

SSH tunnels and custom connections for private resources.

Not offered: a cloud platform connecting through prebuilt app integrations and webhooks; no private-network or SSH access documented.

Custom MCP servers must be reachable over the public internet; local servers require a tunneling service.

22 models across nine providers.

Agents uses a managed model; workflow AI integrations are separate.

Runs Grok models; no cross-provider model catalog documented for Bots.

Auto routes tasks to Cheap, Balanced, or Smart tiers.

Model tiers (Standard, Advanced, Premium) selected per step with an Auto default; automatic task-category routing not documented.

Not offered: no automatic task-to-model routing documented.

Choose tier models, map task categories, or pin a model.

Manual tier and model selection per step; task-category routing rules not offered.

Not offered: no task-category-to-model routing rules documented.

Separate conversation and coding routing policies.

Not offered: one model policy per step; no separate coding policy documented.

Not offered: Cursor team rules and privacy settings apply to Bots; no separate coding model policy documented.

Bring your own provider keys as part of an enterprise setup.

Bring Your Own Model connects organization AI provider accounts on Enterprise.

Credentials connect third-party tool APIs; no customer AI provider keys documented.

OpenRouter and Vercel AI Gateway.

Not offered: bring-your-own-key connects provider accounts directly; no custom gateway or proxy endpoint documented.

Not offered: no bring-your-own AI gateway documented.

SAML single sign-on for enterprise.

SAML SSO on Team and Enterprise plans, with SCIM provisioning on Enterprise.

Members sign in with their Cursor account, so existing Cursor SSO and team membership apply.

Access, agent activity, and tool usage for enterprise review.

Agent activity can be reviewed; audit coverage depends on product and plan.

Advanced audit controls ship on Enterprise plans; Grok Bot-specific audit coverage not documented.

Action-specific permissions and contact controls on every channel; explicit approval gates not documented.

Approval steps can be added to agent instructions.

Require Approval rules and Auto Review evaluate tool calls and computer actions; passwords and 2FA use human takeover.

Usage visibility and per-agent credit budgets.

In-app plan usage views and Enterprise usage alerts.

Pooled billing with weekly usage allowances on premium seats; per-Bot budget controls not documented.

Free plan with $10 in credits every month; paid plans from $20/month. $1 = 100 credits; top-ups available.

Workflows use tasks; Agents has activity-based plans.

Individual access via SuperGrok Heavy or Cursor Ultra; self-serve teams use premium seats with usage allowances; Enterprise is rolling out.

Unlimited builders and viewers in your organization.

User allowances depend on the selected plan and product.

Team seat management and consolidated billing on paid plans.