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Head to head · Assistants that remember you · October 2026 research run

Atticus vs Tomo

Atticus scores 42.9 (E) on agent readiness against Tomo's 13.1 (F), and leads in 6 of 7 scored categories. Both do assistants that remember you.

Best AI personal assistants that act for one person · All 875 assistants comparisons

AtticusSaarthurR (Saarth Ranka) · Platform E42.9/100#974 of 1094 TomoMapo Labs, Inc. · Platform F13.1/100#1076 of 1094

Which one, for what

Atticus E

Best for A person on macOS 26 with a Claude Pro or Max plan who wants voice control of apps, windows, files and the browser.

Ahead on

  • Reliability, 68 against 15
  • Schema & documentation, 15 against 0
  • Agent ergonomics, 9 against 0
  • Security & auth, 49 against 0
  • Payments & pricing, 60 against 10
  • Transparency & trust, 56 against 47

Also in its favour

  • No key needed to call it
  • Free to start without a card
  • Open source

Watch for

No API, MCP server or documented command an outside agent can call

Tomo F

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

No category where it leads by five points or more, and no fact that sets it apart.

Watch for

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

Score by category

CategoryWeight this runAtticusTomoEdge
Reliability16%206815Atticus +53
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.2150Atticus +15
Agent ergonomics13%16.290Atticus +9
Security & auth14%17.5490Atticus +49
Payments & pricing10%12.56010Atticus +50
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.85154Tomo +3
Transparency & trust7%8.85647Atticus +9
Negative events≤1500
TotalE 42.9/100F 13.1/100

Facts side by side

FactAtticusTomo
KindPlatformPlatform
VendorSaarthurR (Saarth Ranka)Mapo Labs, Inc.
Hosted endpointno (local only)no (local only)
Transports
AuthNoneOAuth or key
PricingYour planPaid
x402nono
LicenceMITClosed service under Tomo's Terms of Service (Mapo Labs, Inc., last updated 24 September 2026).
Read-only variant documentednono
llms.txtnono
Last release2026-10-142026-09-29
Terms last updatedno document linked
Privacy policy last updatedno document linked
Customer content may train models
Terms restrict automated access
Terms restrict benchmarking
Terms or service can change without notice
Arbitration or class-action waiver
Popularity163 starsnone

Verdicts

Atticus

Atticus runs a person's Mac by voice on their existing Claude or Devin plan, with a sandboxed safe mode and a local log of every command. It has no API, MCP server or documented command for another agent, it is five days old, and it rebuilds itself from the main branch every six hours by default.

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

Atticus

  1. Don't plan to call Atticus from another agent. It takes requests only from its own shortcut and typing box
  2. If a user runs Atticus beside you, expect it to move windows and type into apps on the same Mac
  3. Point a user who wants pinned versions to Settings > About & Updates to turn off self-update

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, Atticus or Tomo?

Atticus scores 42.9 (E) on agent readiness against Tomo's 13.1 (F), and leads in 6 of 7 scored categories.

Are Atticus and Tomo open source?

Atticus is open source (MIT). No open-source release is listed for Tomo.

Other comparisons with Atticus or Tomo

Disclosure

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.

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