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Original research · May 2026

State of Personal AI Agents 2026

An independent census of 176 personal AI agents across 22 categories — built from primary sources (vendor pricing pages, trust centers, public benchmark leaderboards). Every datapoint links to its source. Every claim has a verifiable origin. Use the numbers below freely with attribution.

Updated 2026-05-02·By MyPersonalAgent.ai Editorial·176 agents in scope·Methodology

Headline findings

  1. Only 11.4% of all 176 personal AI agents have a published SOC 2 Type II attestation.
  2. Of agents with verified buyer-grade data, 66.7% have SOC 2 Type II — but only 20% support HIPAA via BAA.
  3. 49.4% of personal AI agents offer a genuine free tier — not a trial.
  4. Only 10% of buyer-grade agents support self-hosted or on-prem deployment.
  5. 53.3% of buyer-grade agents explicitly do NOT train on customer data; another 13.3% allow opt-out.

Free to cite with attribution to MyPersonalAgent.ai. Methodology section explains how each headline was computed.

Security and compliance adoption

Of the 176 agents in scope, 30 (17.0%) have full buyer-grade data verified at the vendor's trust center or security page. Adoption rates among that subset:

SOC 2 Type II
66.7%
ISO 27001
33.3%
HIPAA (BAA)
20%
GDPR
90%
Self-hosted / on-prem
10%

SOC 2 across all agents:

Just 20 of 176 agents publish a SOC 2 Type II attestation — 11.4% of the broader market. The rest are either in-progress, smaller vendors who haven't pursued attestation, or open-source.

Self-hosted is rare:

Only 3 agents in our buyer-grade cohort offer a self-hosted or on-prem deployment option. Tabnine, Windsurf Enterprise, and DeepSeek (open-weight) are the only mainstream choices for air-gapped environments.

Training-on-customer-data policy

How vendors handle inputs (your code, customer records, email content). Among the 30 agents with verified buyer-grade data:

16

Never trains on customer inputs (most enterprise tiers, GitHub Copilot Business+, Tabnine all plans, Sierra)

4

Opt-out available — trains by default but you can disable (Anthropic, Cursor, Replit consumer, Windsurf paid)

2

Trains by default with no opt-out (Midjourney lower tiers, DeepSeek API)

154

Unknown / not published (vendors who haven't shipped a public policy yet)

Pricing distribution

Where each agent falls based on its lowest paid tier (or $0 for agents with a genuine free tier). 87 agents (49.4% of 176) offer free use that isn't a 7-day trial.

$0 (free)
9
$1–$19
84
$20–$49
25
$50–$199
16
$200+
8

AI models powering personal AI agents

Top 10 model families by frequency of use across all 176 agents. Many agents use multiple models — Cursor, Windsurf, and GitHub Copilot let users pick per task — so totals exceed 176.

GPT-4 family
61
Gemini family
18
Claude Sonnet family
13
GPT-5 family
12
Claude (other)
12
Claude Opus family
6
Proprietary models
5
Llama family
5
Custom fine-tuned models
3
DeepSeek
3

Agents per category

22 categories ranked by agent count. Productivity and customer-support are the deepest, reflecting where personal AI agents are most actively shipping in 2026.

Methodology

  • Scope: all 176 agents currently listed in our public directory across 22 categories. Excludes 8 agents previously removed for being unverifiable in the vendor universe.
  • Pricing: lowest paid-tier monthly rate scraped from each vendor's pricing page in May 2026 (we re-verify whenever a category page is updated). Agents with both annual and monthly options use the monthly figure.
  • Free tier: requires an actual $0 plan that does not expire. 7-day trials are excluded.
  • Security & compliance: only counted when published on the vendor's trust center or security page. We do not infer or pattern-match. The 30 agents in the "buyer-grade" cohort each have a citation URL recorded on their detail page and are subject to quarterly re-verification.
  • Training policy: drawn from each vendor's privacy policy, terms of service, or trust center. Where the policy differs by tier (e.g. GitHub Copilot Free vs. Business), we use the policy for the most-purchased tier.
  • Models: reflects each agent's own self-disclosure of which model(s) it uses. Variants of the same family (Claude Opus 4.5 vs 4.7) are grouped under a family label for readability.
  • Recomputation: all stats above are deterministically generated from src/data/agents.ts via scripts/generate-state-report.ts, so any data correction triggers an automatic refresh on the next site build.

Citation

MyPersonalAgent.ai. (2026, May 2). State of Personal AI Agents 2026. https://mypersonalagent.ai/state-of-ai-agents-2026

Want the full data behind these numbers?

Every agent in this report has a dedicated review with verified pricing, security badges, capability matrix, and persona-fit data — all linked to the original source.