Head to head · Assistants reached by message · October 2026 research run

Boski vs Tomo

Boski scores 26.2 (F) on agent readiness against Tomo's 13.1 (F), and leads in 5 of 7 scored categories. Tomo leads on maintenance & community. Both do assistants reached by message.

Best AI personal assistants that act for one person · All 834 assistants comparisons

Which one, for what

Boski F

Best for People who want an agent working on personal goals between conversations, and who want ChatGPT or Codex to read their saved preferences.

Ahead on

  • Reliability, 25 against 15
  • Schema & documentation, 15 against 0
  • Agent ergonomics, 13 against 0
  • Security & auth, 45 against 0
  • Transparency & trust, 63 against 47

Watch for

No free plan or trial found.

Tomo F

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

Ahead on

  • Maintenance & community, 54 against 23

Watch for

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

Score by category

CategoryWeight this runBoskiTomoEdge
Reliability16%202515Boski +10
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.2150Boski +15
Agent ergonomics13%16.2130Boski +13
Security & auth14%17.5450Boski +45
Payments & pricing10%12.51010even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.82354Tomo +31
Transparency & trust7%8.86347Boski +16
Negative events≤1500
TotalF 26.2/100F 13.1/100

Facts side by side

FactBoskiTomo
KindPlatformPlatform
VendorBoski, Inc.Mapo Labs, Inc.
Hosted endpointno (local only)no (local only)
Transports
AuthOAuth or keyOAuth or key
PricingPaidPaid
x402nono
LicenceClosed service under Boski's Terms of Service (Boski, Inc., a Delaware corporation, effective 20 August 2026).Closed service under Tomo's Terms of Service (Mapo Labs, Inc., last updated 24 September 2026).
Read-only variant documentedyesno
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

Verdicts

Boski

Boski is a hosted personal agent that works on its owner's goals over messaging channels for $5 a week, and its plugin lets ChatGPT and Codex read saved preferences under a read-only OAuth scope. No free option, status page or security contact was found, and the plugin's tool definitions weren't readable.

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

Boski

  1. Use the Boski plugin only to read the owner's saved preferences and constraints. It can't save changes.
  2. Ask the owner to finish Boski's onboarding interview if the plugin says it's incomplete, then retry.

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, Boski or Tomo?

Boski scores 26.2 (F) on agent readiness against Tomo's 13.1 (F), and leads in 5 of 7 scored categories. Tomo leads on maintenance & community.

Other comparisons with Boski or Tomo

Disclosure

Boski 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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