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Head to head · Assistants that remember you · October 2026 research run

Atticus vs folk

Atticus scores 42.9 (E) on agent readiness against folk's 19.8 (F), and leads in 6 of 7 scored categories. folk leads on transparency & trust. Both do assistants that remember you.

Best AI personal assistants that act for one person · All 875 assistants comparisons

AtticusSaarthurR (Saarth Ranka) · Platform E42.9/100#974 of 1094 folkNozomio, Inc. · Platform F19.8/100#1058 of 1094

Which one, for what

Atticus E

Best for A person on macOS 26 with a Claude Pro or Max plan who wants voice control of apps, windows, files and the browser.

Ahead on

  • Reliability, 68 against 25
  • Schema & documentation, 15 against 10
  • Agent ergonomics, 9 against 0
  • Security & auth, 49 against 3
  • Payments & pricing, 60 against 30
  • Maintenance & community, 51 against 35

Also in its favour

  • No key needed to call it
  • Open source

Watch for

No API, MCP server or documented command an outside agent can call

folk F

Best for People who want a texting companion for habits, workouts, study and money goals, with a free tier.

Ahead on

  • Transparency & trust, 67 against 56

Watch for

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

Score by category

CategoryWeight this runAtticusfolkEdge
Reliability16%206825Atticus +43
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.21510Atticus +5
Agent ergonomics13%16.290Atticus +9
Security & auth14%17.5493Atticus +46
Payments & pricing10%12.56030Atticus +30
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.85135Atticus +16
Transparency & trust7%8.85667folk +11
Negative events≤1500
TotalE 42.9/100F 19.8/100

Facts side by side

FactAtticusfolk
KindPlatformPlatform
VendorSaarthurR (Saarth Ranka)Nozomio, Inc.
Hosted endpointno (local only)no (local only)
Transports
AuthNoneOAuth or key
PricingYour planFreemium
x402nono
LicenceMITClosed service under folk's terms (Nozomio, Inc., last updated 8 September 2026).
Read-only variant documentednoyes
llms.txtnoyes
Last release2026-10-142026-10-12
Terms last updatedno document linked
Privacy policy last updatedno document linked
Customer content may train models
Terms restrict automated access
Terms restrict benchmarking
Terms or service can change without notice
Arbitration or class-action waiver
Popularity163 starsnone

Verdicts

Atticus

Atticus runs a person's Mac by voice on their existing Claude or Devin plan, with a sandboxed safe mode and a local log of every command. It has no API, MCP server or documented command for another agent, it is five days old, and it rebuilds itself from the main branch every six hours by default.

folk

folk is a texting accountability assistant with its own cloud computer, a free tier with no card and a privacy policy that rules out training on user data. No outside agent can call it, no status page or changelog was found, and its llms.txt and pricing file disagree on free limits and Max's price.

Before you call either

Atticus

  1. Don't plan to call Atticus from another agent. It takes requests only from its own shortcut and typing box
  2. If a user runs Atticus beside you, expect it to move windows and type into apps on the same Mac
  3. Point a user who wants pinned versions to Settings > About & Updates to turn off self-update

folk

  1. Don't plan to call folk from another agent. It answers only the owner's iMessage, Telegram or WhatsApp thread and iPhone app.
  2. Quote limits and prices from pricing.md and the terms, and note that llms.txt gives different free-tier limits.

Questions

Which is better for AI agents, Atticus or folk?

Atticus scores 42.9 (E) on agent readiness against folk's 19.8 (F), and leads in 6 of 7 scored categories. folk leads on transparency & trust.

Are Atticus and folk open source?

Atticus is open source (MIT). No open-source release is listed for folk.

Other comparisons with Atticus or folk

Disclosure

folk 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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