Head to head · Proactive personal assistants · October 2026 research run

Boski vs folk

Boski scores 26.2 (F) on agent readiness against folk's 19.8 (F), and leads in 3 of 7 scored categories. folk leads on payments & pricing and maintenance & community. Both do proactive personal assistants.

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

Which one, for what

Boski F

Best for People who want an agent working on personal goals between conversations, and who want ChatGPT or Codex to read their saved preferences.

Ahead on

  • Schema & documentation, 15 against 10
  • Agent ergonomics, 13 against 0
  • Security & auth, 45 against 3

Watch for

No free plan or trial found.

folk F

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

Ahead on

  • Payments & pricing, 30 against 10
  • Maintenance & community, 35 against 23

Also in its favour

  • Free to start without a card

Watch for

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

Score by category

CategoryWeight this runBoskifolkEdge
Reliability16%202525even
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.21510Boski +5
Agent ergonomics13%16.2130Boski +13
Security & auth14%17.5453Boski +42
Payments & pricing10%12.51030folk +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.82335folk +12
Transparency & trust7%8.86367folk +4
Negative events≤1500
TotalF 26.2/100F 19.8/100

Facts side by side

FactBoskifolk
KindPlatformPlatform
VendorBoski, Inc.Nozomio, Inc.
Hosted endpointno (local only)no (local only)
Transports
AuthOAuth or keyOAuth or key
PricingPaidFreemium
x402nono
LicenceClosed service under Boski's Terms of Service (Boski, Inc., a Delaware corporation, effective 20 August 2026).Closed service under folk's terms (Nozomio, Inc., last updated 8 September 2026).
Read-only variant documentedyesyes
llms.txtyesyes
Last releasenone2026-10-12
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

Boski

Boski is a hosted personal agent that works on its owner's goals over messaging channels for $5 a week, and its plugin lets ChatGPT and Codex read saved preferences under a read-only OAuth scope. No free option, status page or security contact was found, and the plugin's tool definitions weren't readable.

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

Boski

  1. Use the Boski plugin only to read the owner's saved preferences and constraints. It can't save changes.
  2. Ask the owner to finish Boski's onboarding interview if the plugin says it's incomplete, then retry.

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, Boski or folk?

Boski scores 26.2 (F) on agent readiness against folk's 19.8 (F), and leads in 3 of 7 scored categories. folk leads on payments & pricing and maintenance & community.

Other comparisons with Boski or folk

Disclosure

Boski 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.

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.

Machine-readable

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