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

Orbits vs Orchid

Orchid scores 20.2 (F) on agent readiness against Orbits's 15.6 (F), and leads in 2 of 7 scored categories. Orbits leads on payments & pricing and 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

Orbits F

Best for Families who want one shared assistant for calendars, lists, meals, chores and household email.

Ahead on

  • Payments & pricing, 20 against 10
  • Maintenance & community, 54 against 24

Watch for

No public agent API, as llms.txt states.

Orchid F

Best for A founder or operator who wants Gmail and calendar triage by text with approval before anything leaves.

Ahead on

  • Reliability, 50 against 15
  • Transparency & trust, 60 against 43

Watch for

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

Score by category

CategoryWeight this runOrbitsOrchidEdge
Reliability16%201550Orchid +35
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.21010even
Agent ergonomics13%16.200even
Security & auth14%17.500even
Payments & pricing10%12.52010Orbits +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.85424Orbits +30
Transparency & trust7%8.84360Orchid +17
Negative events≤1500
TotalF 15.6/100F 20.2/100

Facts side by side

FactOrbitsOrchid
KindPlatformPlatform
VendorNemus AI, Inc.Zero Email, Inc.
Hosted endpointno (local only)no (local only)
Transports
AuthOAuth or keyOAuth or key
PricingPaidPaid
x402nono
LicenceClosed service under the Orbits Terms of Service (Nemus AI, Inc.).Closed service under Orchid's Terms of Service (Zero Email, Inc., last updated 16 January 2026).
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-13none
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

Orbits

Orbits is a family household app whose assistant, Bit, runs shared calendars, lists and meals, reads household email and places restaurant calls after approval, with iOS releases every week or two. No outside agent can call it, prices appear only as App Store in-app purchases, and no status page, security contact or named subprocessors were found.

Orchid

Orchid is a paid executive assistant over iMessage, SMS and Telegram that holds drafts and calendar holds until the owner approves, with a public status page and a named subprocessor list. No outside agent can call it, there's no free tier, and its privacy policy allows training a personal model while its blog says it never trains.

Before you call either

Orbits

  1. Don't plan to call Orbits from another agent. llms.txt says no public agent API is offered.
  2. Tell the owner the assistant needs an Orbits subscription bought in the app, and that any trial appears only at purchase.

Orchid

  1. Don't plan to call Orchid from another agent. It answers only the owner's iMessage, SMS and Telegram threads.
  2. Check status.orchid.ai before telling the owner Orchid is down. The 7 August incident moved it to a new number.
  3. Tell the owner that drafts and holds wait for their approval unless they widen it.

Questions

Which is better for AI agents, Orbits or Orchid?

Orchid scores 20.2 (F) on agent readiness against Orbits's 15.6 (F), and leads in 2 of 7 scored categories. Orbits leads on payments & pricing and maintenance & community.

Other comparisons with Orbits or Orchid

Disclosure

Orbits 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.

Orchid 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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