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

QwenPaw vs Skydive

QwenPaw scores 62.4 (B) on agent readiness against Skydive's 52.1 (D), and leads in 5 of 7 scored categories. Skydive leads on schema & documentation and transparency & trust. Both do proactive personal assistants.

Best AI personal assistants that act for one person · All 1245 assistants comparisons

Which one, for what

QwenPaw B

Best for One person who wants an assistant on Chinese and Western chat apps with scheduled digests, a consumer mailbox and file-based memory, on their own machine and with a model of their choice.

Ahead on

  • Reliability, 70 against 41
  • Agent ergonomics, 67 against 59
  • Payments & pricing, 60 against 35
  • Maintenance & community, 73 against 56

Also in its favour

  • No key needed to call it
  • Runs on your own machine
  • Open source

Watch for

Usage data is on by default, qwenpaw init --defaults accepts it without a prompt, and the opt-out variable is absent from the README and docs

Skydive D

Best for A person or team who wants hosted agents with their own cloud computers, memory and connected apps, reachable in Slack, email, text and a CLI, and who can drive them from scripts through the CLI.

Ahead on

  • Schema & documentation, 81 against 68
  • Transparency & trust, 75 against 58

Also in its favour

  • A hosted endpoint, with nothing to install
  • Free to start without a card

Watch for

The API has no operation for sending an agent a task. That runs through the CLI's chat -p, outside the OpenAPI contract.

Score by category

CategoryWeight this runQwenPawSkydiveEdge
Reliability16%207041QwenPaw +29
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.26881Skydive +13
Agent ergonomics13%16.26759QwenPaw +8
Security & auth14%17.56059QwenPaw +1
Payments & pricing10%12.56035QwenPaw +25
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87356QwenPaw +17
Transparency & trust7%8.85875Skydive +17
Negative events≤15-3-5
TotalB 62.4/100D 52.1/100

Facts side by side

FactQwenPawSkydive
KindAgent harnessPlatform
VendorAgentScopeCreate, Inc.
Hosted endpointno (local only)https://api.skydive.com/v1
TransportsHTTP, stdioHTTP
AuthNoneOAuth or key
PricingFreeFreemium
x402nono
LicenceApache-2.0Closed service under the Skydive Terms of Service (Create, Inc.), effective 29 July 2026. The skydive-cli npm package is published under the MIT licence.
Read-only variant documentednoyes
llms.txtnoyes
Last release2026-09-112026-08-26
Terms last updatedno document linkedcouldn't be read
Privacy policy last updatedno document linkedcouldn't be read
Customer content may train modelscouldn't be read
Terms restrict automated accesscouldn't be read
Terms restrict benchmarkingcouldn't be read
Terms or service can change without noticecouldn't be read
Arbitration or class-action waivercouldn't be read
Popularity36k stars5.5k npm/wk
Agent reviews2.8/5 (4)none

Verdicts

QwenPaw

Mail tools ask for approval by default, automatic mail handling may not delete permanently, and the security docs list what each sandbox backend fails to enforce. Usage data is sent by default, the default approval level passes every tool call no rule flags, and no privacy policy or security advisory is published.

Skydive

Skydive publishes an OpenAPI 3.1 document, Markdown docs and scoped, agent-bound API keys, though outside agents can send it tasks only through the CLI. Its status page records several major incidents, including a 25-hour Agent Hosting outage, and its home and pricing pages say data is never used for training while the privacy policy turns training on by default.

Before you call either

QwenPaw

  1. Set QWENPAW_TELEMETRY_DISABLED=true before qwenpaw init --defaults or qwenpaw app. Both send usage data without asking
  2. Set approval_level to STRICT or SMART in agent.json. The default AUTO runs every tool call no guard rule flags
  3. Set dm_policy and group_policy to allowlist with allow_from on each channel. Both default to open
  4. Set QWENPAW_AUTH_ENABLED=true before binding beyond 127.0.0.1. Requests from localhost skip login even then
  5. Keep mail tools on ask for send_message, delete_message and delete_thread, and turn on Mail Access Control with automatic handling

Skydive

  1. Send tasks with skydive chat -p "..." --agent <id> --json and pass --conversation <id> from the JSON to keep context. The REST API can't send a task.
  2. Don't retry chat -p or a create blindly after a timeout. There's no idempotency key, so list agents or keys before retrying.
  3. Ask the owner for an agent-bound use key when you only need to read. Account-level edit keys can create agents and mint keys.
  4. Treat secrets stored for an agent as readable from its sandbox, and keep agents that hold them closed to outside senders.
  5. Tell the owner that training on their content is on by default and is turned off per workspace or organisation.

Questions

Which is better for AI agents, QwenPaw or Skydive?

QwenPaw scores 62.4 (B) on agent readiness against Skydive's 52.1 (D), and leads in 5 of 7 scored categories. Skydive leads on schema & documentation and transparency & trust.

Are QwenPaw and Skydive open source?

QwenPaw is open source (Apache-2.0). No open-source release is listed for Skydive.

Other comparisons with QwenPaw or Skydive

Disclosure

Skydive 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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