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

Boba vs Boski

Boski scores 26.2 (F) on agent readiness against Boba's 10.3 (F), and leads in 6 of 7 scored categories. Boba leads on payments & pricing. Both do assistants reached by message.

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

Which one, for what

Boba F

Best for Groups who want a free assistant inside a shared chat for planning, drafting and images.

Ahead on

  • Payments & pricing, 30 against 10

Also in its favour

  • Free to start without a card

Watch for

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

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
  • Maintenance & community, 23 against 2
  • Transparency & trust, 63 against 39

Watch for

No free plan or trial found.

Score by category

CategoryWeight this runBobaBoskiEdge
Reliability16%201525Boski +10
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.2015Boski +15
Agent ergonomics13%16.2013Boski +13
Security & auth14%17.5045Boski +45
Payments & pricing10%12.53010Boba +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.8223Boski +21
Transparency & trust7%8.83963Boski +24
Negative events≤1500
TotalF 10.3/100F 26.2/100

Facts side by side

FactBobaBoski
KindPlatformPlatform
Vendorhumans& ai, inc.Boski, Inc.
Hosted endpointno (local only)no (local only)
Transports
AuthOAuth or keyOAuth or key
PricingFreePaid
x402nono
LicenceClosed service under Boba's Terms of Service (humans& ai, inc., last updated 5 October 2026).Closed service under Boski's Terms of Service (Boski, Inc., a Delaware corporation, effective 20 August 2026).
Read-only variant documentednoyes
llms.txtnoyes
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

Boba

Boba is a free texting assistant for one-to-one and group chats over iMessage, RCS and SMS, started by sending one message with no card or app. No outside agent can call it, its privacy notice uses inputs and outputs to train its models with no opt-out found, and no status page or security contact was found.

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.

Before you call either

Boba

  1. Don't plan to call Boba from another agent. It answers only text messages in the Messages app.
  2. Tell people in a group chat that messages sent to Boba may be used to train its models.

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.

Questions

Which is better for AI agents, Boba or Boski?

Boski scores 26.2 (F) on agent readiness against Boba's 10.3 (F), and leads in 6 of 7 scored categories. Boba leads on payments & pricing.

Other comparisons with Boba or Boski

Disclosure

Boba 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.

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.

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