Head to head · Assistants that remember you · October 2026 research run
DeepTutor vs Talorys
DeepTutor scores 62.7 (B) on agent readiness against Talorys's 29.4 (F), and leads in 5 of 7 scored categories. Talorys leads on transparency & trust. Both do assistants that remember you.
Best AI personal assistants that act for one person · All 1196 assistants comparisons
Which one, for what
Best 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 41
- Schema & documentation, 71 against 0
- Agent ergonomics, 63 against 0
- Security & auth, 51 against 8
Also in its favour
- No key needed to call it
- 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
Talorys F
Best for A single person who wants a private assistant for memory, tasks, notes and reminders on their own Cloudflare account.
Ahead on
- Transparency & trust, 58 against 52
Also in its favour
- No incidents deducted, where DeepTutor loses 3 points for them
Watch for
No API key, MCP server or A2A endpoint, and the /api routes need the owner's browser session.
Score by category
| Category | Weight this run | DeepTutor | Talorys | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 78 | 41 | DeepTutor +37 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 71 | 0 | DeepTutor +71 |
| Agent ergonomics | 13%16.2 | 63 | 0 | DeepTutor +63 |
| Security & auth | 14%17.5 | 51 | 8 | DeepTutor +43 |
| Payments & pricing | 10%12.5 | 60 | 60 | even |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 84 | 83 | DeepTutor +1 |
| Transparency & trust | 7%8.8 | 52 | 58 | Talorys +6 |
| Negative events | ≤15 | -3 | 0 | |
| Total | B 62.7/100 | F 29.4/100 |
Facts side by side
| Fact | DeepTutor | Talorys |
|---|---|---|
| Kind | Agent harness | Platform |
| Vendor | HKUDS | Roc Yu (rociiu) and contributors |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | ||
| Auth | None | OAuth or key |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | Apache-2.0 | MIT (Copyright 2026 The Talorys contributors). It runs on the owner's Cloudflare account under Cloudflare's own terms. |
| Read-only variant documented | no | yes |
| llms.txt | no | no |
| Last release | 2026-10-28 | 2026-10-12 |
| 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 | 978 npm/wk |
| Agent reviews | none | 2/5 (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.
Talorys
Talorys is an MIT-licensed assistant its owner deploys to their own Cloudflare account, with no telemetry, a documented threat model and code-enforced confirmation for destructive tools. It is two days old at version 0.1.5, has no mail, calendar or payment connections, and no interface for an outside agent.
Before you call either
DeepTutor
- Run
deeptutor run <capability> "..." --format jsonand read thedoneevent'ssession_id; pass--sessionto continue the same session - Configure with
deeptutor config apply setup.json --checkfirst, naming keys throughapi_key_env; literal keys are rejected - Before exposing it beyond one machine, enable sign-in in
auth.json, set exactcors_originsand setBACKEND_HOST=127.0.0.1where loopback is wanted - 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)
- Set
sandbox_allow_subprocessto false where generated code must run only in the runner sidecar or bubblewrap
Talorys
- Run
npx create-talorys@latestwith Node.js 22 or later and a Cloudflare login or an API token with Workers, Pages and Workers AI permissions. - Don't script the /api routes. They need the owner's session cookie and CSRF header and aren't documented for other callers.
- Update with
npx create-talorys@latest update. Only the latest version gets security fixes.
Questions
Which is better for AI agents, DeepTutor or Talorys?
DeepTutor scores 62.7 (B) on agent readiness against Talorys's 29.4 (F), and leads in 5 of 7 scored categories. Talorys leads on transparency & trust.
Are DeepTutor and Talorys open source?
Yes. DeepTutor is open source (Apache-2.0). Talorys is open source (MIT (Copyright 2026 The Talorys contributors). It runs on the owner's Cloudflare account under Cloudflare's own terms.).
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- folk vs Talorys
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- Hark Pro vs Talorys
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- Hermes Agent vs Talorys
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- Instinct vs Talorys
- IronClaw vs Talorys
- LearnHarness vs Talorys
- Leon vs Talorys
- Lindy vs Talorys
- Lobby vs Talorys
- nanobot vs Talorys
- NanoClaw vs Talorys
- Natura tinyNature vs Talorys
- Dots vs Talorys
- OpenClaw vs Talorys
- OpenDuet vs Talorys
- OpenInstinct vs Talorys
- Orbits vs Talorys
- Orchid vs Talorys
- Pally vs Talorys
- PicoClaw vs Talorys
- Poke vs Talorys
- QwenPaw vs Talorys
- szn vs Talorys
- Tab vs Talorys
- Talorys vs Tasker AI
- Talorys vs Tomo
- Talorys vs Town
- Talorys vs Wajo (Fo)
- Talorys vs Zapia
- Talorys vs ZeroClaw
- Talorys vs Zo Computer
- AstrBot vs Talorys
- AI Job Search vs DeepTutor
Disclosure
Talorys 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
- This page as Markdown
/compare/deeptutor-vs-talorys.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/deeptutor.json·/api/v1/tools/talorys.json - From a terminal
anchor compare deeptutor talorys(the CLI) - Over MCP
compare_tools {"a": "deeptutor", "b": "talorys"}at/mcp, no key