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

Boba vs Town

Town scores 48.7 (D) on agent readiness against Boba's 10.3 (F), and leads in 6 of 7 scored categories. 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.

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.

Town D

Best for An owner who wants a mail and calendar assistant whose routines other systems can trigger.

Ahead on

  • Reliability, 35 against 15
  • Schema & documentation, 33 against 0
  • Agent ergonomics, 49 against 0
  • Security & auth, 79 against 0
  • Maintenance & community, 60 against 2
  • Transparency & trust, 63 against 39

Watch for

The privacy policy describes training with an opt-out and the trust page says training is opt-in.

Score by category

CategoryWeight this runBobaTownEdge
Reliability16%201535Town +20
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.2033Town +33
Agent ergonomics13%16.2049Town +49
Security & auth14%17.5079Town +79
Payments & pricing10%12.53030even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.8260Town +58
Transparency & trust7%8.83963Town +24
Negative events≤1500
TotalF 10.3/100D 48.7/100

Facts side by side

FactBobaTown
KindPlatformPlatform
Vendorhumans& ai, inc.Town.com, Inc.
Hosted endpointno (local only)no (local only)
TransportsHTTP
AuthOAuth or keyOAuth or key
PricingFreeFreemium
x402nono
LicenceClosed service under Boba's Terms of Service (humans& ai, inc., last updated 5 October 2026).Closed service under Town's Terms of Service (Town.com, Inc., updated 21 July 2026).
Read-only variant documentednoyes
llms.txtnono
Last releasenone2026-10-10
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.

Town

Town is a hosted assistant that works across the owner's mail, calendar and work apps, and other systems can start its routines through per-routine webhooks with rotatable secrets, idempotency keys and documented errors. A caller can't read a run's result. The privacy policy and trust page disagree on whether training is on by default.

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.

Town

  1. Start a Town routine with POST to its webhook URL, Authorization Bearer whsec_ secret, and application/json or text/plain. Expect 202 only.
  2. Send X-Town-Idempotency-Key with a stable event id on every retry so Town doesn't start a second run.
  3. Treat 404 as wrong secret, disabled endpoint or missing endpoint alike, and ask the owner to check Routine Settings rather than retrying.
  4. Send account_email only if the owner allowed the override. It must match a connected account in full and can't widen the routine's scope.
  5. Ask the owner to keep routines that act on webhook input in approval-required mode, as Town's own docs advise.

Questions

Which is better for AI agents, Boba or Town?

Town scores 48.7 (D) on agent readiness against Boba's 10.3 (F), and leads in 6 of 7 scored categories.

Other comparisons with Boba or Town

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.

Town 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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