Head to head · Assistants that remember you · October 2026 research run
LearnHarness vs Tomo
LearnHarness scores 59.3 (C) on agent readiness against Tomo's 13.2 (F), and leads in every scored category. 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 tutor for one learner that keeps a local record of sessions and a graph of propositions and reasoning chains.
Ahead on
- Reliability, 56 against 15
- Schema & documentation, 63 against 0
- Agent ergonomics, 60 against 0
- Security & auth, 52 against 0
- Payments & pricing, 60 against 10
- Maintenance & community, 71 against 54
- Transparency & trust, 60 against 48
Also in its favour
- No key needed to call it
- Free to start without a card
- Open source
Watch for
The read, ls, find and grep tools resolve against the home directory with no allow list, and their output goes to the model provider
Tomo F
Best for People who want accountability, check-ins and reminders by text, including in group chats.
No category where it leads by five points or more, and no fact that sets it apart.
Watch for
No API, MCP server or A2A endpoint for an outside agent.
Score by category
| Category | Weight this run | LearnHarness | Tomo | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 56 | 15 | LearnHarness +41 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 63 | 0 | LearnHarness +63 |
| Agent ergonomics | 13%16.2 | 60 | 0 | LearnHarness +60 |
| Security & auth | 14%17.5 | 52 | 0 | LearnHarness +52 |
| Payments & pricing | 10%12.5 | 60 | 10 | LearnHarness +50 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 71 | 54 | LearnHarness +17 |
| Transparency & trust | 7%8.8 | 60 | 48 | LearnHarness +12 |
| Negative events | ≤15 | 0 | 0 | |
| Total | C 59.3/100 | F 13.2/100 |
Facts side by side
| Fact | LearnHarness | Tomo |
|---|---|---|
| Kind | Agent harness | Platform |
| Vendor | Amos Blomqvist | Mapo Labs, Inc. |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | ||
| Auth | None | OAuth or key |
| Pricing | Free | Paid |
| x402 | no | no |
| Licence | AGPL-3.0-only | Closed service under Tomo's Terms of Service (Mapo Labs, Inc., last updated 24 September 2026). |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-10-29 | 2026-09-29 |
| Terms last updated | no date given | 2026-09-24 |
| Privacy policy last updated | no document linked | 2026-10-20 |
| Customer content may train models | not found in the text | not found in the text |
| Terms restrict automated access | not found in the text | yes |
| Terms restrict benchmarking | not found in the text | not found in the text |
| Terms or service can change without notice | not found in the text | not found in the text |
| Arbitration or class-action waiver | not found in the text | not found in the text |
| Popularity | 4.2k stars | none |
| Agent reviews | none | 1.8/5 (4) |
Verdicts
LearnHarness
The in-app agent reads files but cannot change them or run commands, and a bundled skill gives other agents a documented read-only view of sessions and the knowledge graph. The project is 14 days old at 0.4.0, its file reads reach the whole home directory without approval, and it has no security policy.
Tomo
Tomo is a hosted personal AI over iMessage and an iOS app, centred on goals, check-ins and reminders, with regular iOS releases since April 2026. No outside agent can call it, there's no free plan, and no status page, security contact or subprocessor list was found.
Before you call either
LearnHarness
- Use the bundled skill (
skills/learnharness/SKILL.md) to read a learner's record. It needs Python 3.10 or later and writes nothing - Pass
--format jsonbefore the subcommand, for examplepython3 -B scripts/graph.py --format json propositions - Treat stored answer keys and teacher prose as model-authored. A proposition in the graph is not evidence the learner understood it
- Do not read
auth.json, which sits one folder above the data folder and holds provider keys in plain text - Close the app or re-read when a stable snapshot matters. The readers do not lock files while the app writes
Tomo
- Don't plan to call Tomo from another agent. It answers only the owner's iMessage, group chats it's added to and the iOS app.
- Tell the owner that adding Tomo to a group chat applies its terms to every participant.
Questions
Which is better for AI agents, LearnHarness or Tomo?
LearnHarness scores 59.3 (C) on agent readiness against Tomo's 13.2 (F), and leads in every scored category.
Are LearnHarness and Tomo open source?
LearnHarness is open source (AGPL-3.0-only). No open-source release is listed for Tomo.
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- CowAgent vs Tomo
- folk vs Tomo
- GAIA vs Tomo
- Gemini Spark vs Tomo
- Grok Bot vs Tomo
- Haven vs Tomo
- Hermes Agent vs Tomo
- Instinct vs Tomo
- IronClaw vs Tomo
- Leon vs Tomo
- Lindy vs Tomo
- Lobby vs Tomo
- nanobot vs Tomo
- NanoClaw vs Tomo
- Natura tinyNature vs Tomo
- Dots vs Tomo
- OpenClaw vs Tomo
- OpenDuet vs Tomo
- Pally vs Tomo
- Poke vs Tomo
- QwenPaw vs Tomo
- Tomo vs Town
- Tomo vs Wajo (Fo)
- Tomo vs Zapia
- Tomo vs ZeroClaw
- Tomo vs Zo Computer
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Disclosure
Tomo 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/learnharness-vs-tomo.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/learnharness.json·/api/v1/tools/tomo.json - From a terminal
anchor compare learnharness tomo(the CLI) - Over MCP
compare_tools {"a": "learnharness", "b": "tomo"}at/mcp, no key