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

Orchid vs Tab

Orchid scores 20.2 (F) on agent readiness against Tab's 10.7 (F), and leads in 4 of 7 scored categories. Tab leads on maintenance & community. Both do assistants reached by message.

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

OrchidZero Email, Inc. · Platform F20.2/100#992 of 1010 TabTerrasoft, Inc. · Platform F10.7/100#1003 of 1010

Which one, for what

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 5
  • Schema & documentation, 10 against 0
  • Payments & pricing, 10 against 0
  • Transparency & trust, 60 against 45

Watch for

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

Tab F

Best for A person who wants a texting assistant that browses, calls and buys with tight checkout controls.

Ahead on

  • Maintenance & community, 58 against 24

Watch for

Private beta behind a waitlist.

Score by category

CategoryWeight this runOrchidTabEdge
Reliability16%20505Orchid +45
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.2100Orchid +10
Agent ergonomics13%16.200even
Security & auth14%17.504Tab +4
Payments & pricing10%12.5100Orchid +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.82458Tab +34
Transparency & trust7%8.86045Orchid +15
Negative events≤1500
TotalF 20.2/100F 10.7/100

Facts side by side

FactOrchidTab
KindPlatformPlatform
VendorZero Email, Inc.Terrasoft, Inc.
Hosted endpointno (local only)no (local only)
Transports
AuthOAuth or keyOAuth or key
PricingPaidPaid
x402nono
LicenceClosed service under Orchid's Terms of Service (Zero Email, Inc., last updated 16 January 2026).Closed service under Tab's Terms of Use (Terrasoft, Inc., effective 2 September 2026).
Read-only variant documentednono
llms.txtyesno
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

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.

Tab

Tab is a private-beta texting assistant with a detailed security page on credential isolation and checkout binding, and a public updates page. No outside agent can call it, no price is published, and its privacy policy says nothing on training with user content.

Before you call either

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.

Tab

  1. Don't plan to call Tab from another agent. It answers only the owner's Messages or WhatsApp thread.
  2. Tell the owner that access needs a waitlist place and no price is published.

Questions

Which is better for AI agents, Orchid or Tab?

Orchid scores 20.2 (F) on agent readiness against Tab's 10.7 (F), and leads in 4 of 7 scored categories. Tab leads on maintenance & community.

Other comparisons with Orchid or Tab

Disclosure

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.

Tab 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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