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

Instinct vs Orbits

Orbits scores 15.6 (F) on agent readiness against Instinct's 7.3 (F), and leads in 4 of 7 scored categories. Instinct leads on transparency & trust. Both do assistants reached by message.

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

Which one, for what

Instinct F

Best for People who want to hand errands to an assistant by text or phone.

Ahead on

  • Transparency & trust, 53 against 43

Watch for

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

Orbits F

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

Ahead on

  • Reliability, 15 against 10
  • Schema & documentation, 10 against 0
  • Payments & pricing, 20 against 0
  • Maintenance & community, 54 against 2

Watch for

No public agent API, as llms.txt states.

Score by category

CategoryWeight this runInstinctOrbitsEdge
Reliability16%201015Orbits +5
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.2010Orbits +10
Agent ergonomics13%16.200even
Security & auth14%17.530Instinct +3
Payments & pricing10%12.5020Orbits +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.8254Orbits +52
Transparency & trust7%8.85343Instinct +10
Negative events≤1500
TotalF 7.3/100F 15.6/100

Facts side by side

FactInstinctOrbits
KindPlatformPlatform
VendorSpear Street Technology, Inc. (d/b/a Instinct)Nemus AI, Inc.
Hosted endpointno (local only)no (local only)
Transports
AuthOAuth or keyOAuth or key
PricingPaidPaid
x402nono
LicenceClosed service under Instinct's Terms of Service (Spear Street Technology, Inc. d/b/a Instinct, last revised 26 August 2026).Closed service under the Orbits Terms of Service (Nemus AI, Inc.).
Read-only variant documentednono
llms.txtnoyes
Last releasenone2026-10-13
Terms last updated2026-08-26
Privacy policy last updated2026-08-26
Customer content may train modelsyes, with an opt-out
Terms restrict automated accessyes
Terms restrict benchmarkingyes
Terms or service can change without noticenot found in the text
Arbitration or class-action waiveryes

Verdicts

Instinct

Instinct is a hosted assistant reached by text or call that acts in the owner's Google Workspace and WhatsApp and can make purchases. No outside agent can call it, no price is published, new sign-ups may meet a capacity waitlist, and materials train models unless the owner opts out.

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.

Before you call either

Instinct

  1. Don't look for an endpoint. app.instinct.com/mcp serves the web app shell and refuses POST with 405.
  2. Confirm any purchase with the owner. The terms say Actions may not be reversible.

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.

Questions

Which is better for AI agents, Instinct or Orbits?

Orbits scores 15.6 (F) on agent readiness against Instinct's 7.3 (F), and leads in 4 of 7 scored categories. Instinct leads on transparency & trust.

Other comparisons with Instinct or Orbits

Disclosure

Instinct 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.

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.

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