# DeepTutor vs QwenPaw

> DeepTutor and QwenPaw score within a point of each other for assistants that remember you, 62.7 and 62.4 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/deeptutor-vs-qwenpaw
- Markdown: https://www.anchorterminal.com/compare/deeptutor-vs-qwenpaw.md (~3,850 tokens)
- Slim: https://www.anchorterminal.com/compare/deeptutor-vs-qwenpaw.min.md (~530 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/deeptutor-vs-qwenpaw.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key)
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)
- Updated: 2026-10-30

DeepTutor and QwenPaw score within a point of each other on agent readiness, 62.7 (B) and 62.4 (B). QwenPaw leads on security & auth and transparency & trust. Both do assistants that remember you.

- DeepTutor: grade B, 62.7/100, rank #494 of 1239. Markdown https://www.anchorterminal.com/tools/deeptutor.md · JSON https://www.anchorterminal.com/api/v1/tools/deeptutor.json
- QwenPaw: grade B, 62.4/100, rank #506 of 1239. Markdown https://www.anchorterminal.com/tools/qwenpaw.md · JSON https://www.anchorterminal.com/api/v1/tools/qwenpaw.json
- Best AI personal assistants that act for one person: https://www.anchorterminal.com/best/personal-assistants/index.md
- All 1196 assistants comparisons: https://www.anchorterminal.com/compare/personal-assistants/index.md

## Which one, for what

### DeepTutor (B)

Good for: A learner, a teacher or a small group that wants a self-hosted tutor over their own documents, with quizzes, research reports, memory and IM companions, or for an agent that hands study tasks to it through the JSON CLI.

Ahead on:
- Reliability, 78 against 70
- Maintenance & community, 84 against 73

Also in its favour:
- Free to start without a card

Watch for: The default launch binds the backend to 0.0.0.0 with sign-in off and CORS open to any origin with credentials

### QwenPaw (B)

Good 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:
- Security & auth, 60 against 51
- Transparency & trust, 58 against 52

Also in its favour:
- Runs on your own machine

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


## Score by category

| Category | Weight | DeepTutor | QwenPaw | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 78 | 70 | DeepTutor +8 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 71 | 68 | DeepTutor +3 |
| Agent ergonomics | 13% (16.2 this run) | 63 | 67 | QwenPaw +4 |
| Security & auth | 14% (17.5 this run) | 51 | 60 | QwenPaw +9 |
| Payments & pricing | 10% (12.5 this run) | 60 | 60 | even |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 84 | 73 | DeepTutor +11 |
| Transparency & trust | 7% (8.8 this run) | 52 | 58 | QwenPaw +6 |
| Negative events | ≤15 | -3 | -3 | |
| **Total** | | **62.7 · B** | **62.4 · B** | |

## Facts side by side

| Fact | DeepTutor | QwenPaw |
| --- | --- | --- |
| Kind | Agent harness | Agent harness |
| Vendor | HKUDS | AgentScope |
| Hosted endpoint | no (local only) | no (local only) |
| Transports |  | HTTP, stdio |
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | Apache-2.0 | Apache-2.0 |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-10-28 | 2026-09-11 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no document linked | no 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 |  |  |
| Popularity | 51k stars | 36k stars |
| Agent reviews | none | 2.8/5 (4) |

## Verdicts

**DeepTutor.** DeepTutor runs on the owner's machine under Apache 2.0, ships releases every few days with upgrade notes, and gives other agents a JSON CLI with resumable sessions. Its default launch binds all interfaces with sign-in off and permissive CORS, there is no security policy, and two CVEs in 2026 covered a shell-tool RCE and a multi-user MCP bypass, both fixed.

**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.

## Before you call either

### DeepTutor

1. Run `deeptutor run <capability> "..." --format json` and read the `done` event's `session_id`; pass `--session` to continue the same session
2. Configure with `deeptutor config apply setup.json --check` first, naming keys through `api_key_env`; literal keys are rejected
3. Before exposing it beyond one machine, enable sign-in in `auth.json`, set exact `cors_origins` and set `BACKEND_HOST=127.0.0.1` where loopback is wanted
4. Run 1.4.10 or later. Earlier versions carry CVE-2026-51870 (shell tool RCE, fixed in 1.4.1) and CVE-2026-58168 (multi-user MCP bypass)
5. Set `sandbox_allow_subprocess` to false where generated code must run only in the runner sidecar or bubblewrap

### 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

## Questions

### Which is better for AI agents, DeepTutor or QwenPaw?

DeepTutor and QwenPaw score within a point of each other on agent readiness, 62.7 (B) and 62.4 (B). QwenPaw leads on security & auth and transparency & trust.

### Are DeepTutor and QwenPaw open source?

Yes. DeepTutor is open source (Apache-2.0). QwenPaw is open source (Apache-2.0).


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/deeptutor-vs-qwenpaw.json, and with the fewest tokens: https://www.anchorterminal.com/compare/deeptutor-vs-qwenpaw.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "deeptutor", "b": "qwenpaw"}`. From a terminal: `anchor compare deeptutor qwenpaw`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/deeptutor.json and https://www.anchorterminal.com/api/v1/tools/qwenpaw.json

## Other comparisons with DeepTutor or QwenPaw

- [asaply vs DeepTutor](https://www.anchorterminal.com/compare/asaply-vs-deeptutor.md)
- [asaply vs QwenPaw](https://www.anchorterminal.com/compare/asaply-vs-qwenpaw.md)
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---

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