Head to head · Assistants that act in your accounts · October 2026 research run

Lobby vs Tomo

Tomo scores 13.1 (F) on agent readiness against Lobby's 11.1 (F), and leads in 2 of 7 scored categories. Lobby leads on schema & documentation and payments & pricing. Both do assistants that act in your accounts.

Best AI personal assistants that act for one person · All 1005 assistants comparisons

Which one, for what

Lobby F

Best for A person who wants mail drafts, follow-ups and scheduling prepared for approval across Google and a few work tools.

Ahead on

  • Schema & documentation, 10 against 0
  • Payments & pricing, 20 against 10

Watch for

No API, MCP server or A2A endpoint for an outside agent.

Tomo F

Best for People who want accountability, check-ins and reminders by text, including in group chats.

Ahead on

  • Maintenance & community, 54 against 2

Watch for

No API, MCP server or A2A endpoint for an outside agent.

Score by category

CategoryWeight this runLobbyTomoEdge
Reliability16%201515even
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.2100Lobby +10
Agent ergonomics13%16.200even
Security & auth14%17.500even
Payments & pricing10%12.52010Lobby +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.8254Tomo +52
Transparency & trust7%8.84347Tomo +4
Negative events≤1500
TotalF 11.1/100F 13.1/100

Facts side by side

FactLobbyTomo
KindPlatformPlatform
VendorLobby OS, Inc.Mapo Labs, Inc.
Hosted endpointno (local only)no (local only)
Transports
AuthOAuthOAuth or key
PricingPaidPaid
x402nono
LicenceClosed service under Lobby's Terms of Use (Lobby OS, Inc.), last updated 26 March 2026.Closed service under Tomo's Terms of Service (Mapo Labs, Inc., last updated 24 September 2026).
Read-only variant documentednono
llms.txtyesno
Last releasenone2026-09-29
Terms last updated
Privacy policy last updated
Customer content may train models
Terms restrict automated access
Terms restrict benchmarking
Terms or service can change without notice
Arbitration or class-action waiver
Agent reviews2/5 (4)1.8/5 (4)

Verdicts

Lobby

Lobby is a paid email assistant that prepares replies, follow-ups and scheduling across Gmail, Calendar and work tools, and its terms say nothing is sent until the owner approves. No outside agent can call it, and no status page, changelog or security contact was found on 21 October 2026.

Tomo

Tomo is a hosted personal AI over iMessage and an iOS app, centred on goals, check-ins and reminders, with regular iOS releases since April 2026. No outside agent can call it, there's no free plan, and no status page, security contact or subprocessor list was found.

Before you call either

Lobby

  1. Don't plan to call Lobby from another agent. It works only inside its own app for the signed-in owner.
  2. Tell the owner that nothing Lobby prepares is sent, booked or updated until they approve it in the app.
  3. Check whether the 7-day trial takes a card before signing the owner up. The terms don't say.

Tomo

  1. Don't plan to call Tomo from another agent. It answers only the owner's iMessage, group chats it's added to and the iOS app.
  2. Tell the owner that adding Tomo to a group chat applies its terms to every participant.

Questions

Which is better for AI agents, Lobby or Tomo?

Tomo scores 13.1 (F) on agent readiness against Lobby's 11.1 (F), and leads in 2 of 7 scored categories. Lobby leads on schema & documentation and payments & pricing.

Other comparisons with Lobby or Tomo

Disclosure

Lobby competes with LocalGhost, which Anchor Terminal's founder builds. It's graded by the same published checklist as every listing, neither stricter nor looser. Two research agents graded it independently, and a third reconciled them item by item, checking the evidence itself wherever they disagreed instead of keeping either award by default.

Tomo competes with LocalGhost, which Anchor Terminal's founder builds. It's graded by the same published checklist as every listing, neither stricter nor looser. Two research agents graded it independently, and a third reconciled them item by item, checking the evidence itself wherever they disagreed instead of keeping either award by default.

Machine-readable

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