DeepTutor
DeepTutor: Lifelong Personalized Tutoring. https://deeptutor.info/.
Runs with mockssource: GitHubhomepagePythonApache-2.0commit a053fecf6eec
Python, Apache-2.0 licensed. The project labels itself: ai agents, ai tutor, clawbot, cli tool, deepresearch, interactive learning, learning and multi agent systems.
DeepTutor runs, with stand-ins for the services it depends on. An Argusic agent installed it in 1.5 minutes and hit 4 errors and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.
Package installed via pip install -e .[dev] with partners extra. LLM features require OpenAI/etc credentials (deeptutor doctor reports No active LLM model). Test suite passes across core, API, CLI, services, book, reading, video learning, agents, capabilities, tools, knowledge, runtime, and plugins modules after 4 test fixes.
What the agent ended up with on a clean machine, in its own words. How this is measured
Measured by Argusic on a fresh machine every time. Every number links to its evidence. Argusic Score 92 of 100 (the mean of this project's run scores).
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
What was measured
From the run that decided this verdict. Every line is a recorded value, not an estimate.
What went wrong, in the agent's own words
The agent's own words, worst first, never rewritten into advice.
- ModuleNotFoundError: slack_sdk not installed for partners channel tests0.5 minutes
- test_preview_route_requires_authentication failed: FastAPI 0.162 _IncludedRouter incompatible0.3 minutes
- test_learner_surface_uses_actual_kb_route_template failed: FastAPI 0.162 _IncludedRouter incompatible0.2 minutes
- test_load_credentials_parses_session: hardcoded timestamp now expired0.1 minutes
- Install time
- 2 minutes
- Cold machine to finish
- 81 minutes
- Errors hit and fixed
- 4 hit, 4 fixed with no human help
- How the result was proved
- deeptutor --help prints usage, deeptutor doctor runs diagnostics. pytest on batch of 17 modules: 1050 passed, 5 skipped, 18 warnings in 27s. All individual test files verified passing across all modules.
- Model tokens used
- 995,885
- Exact commit tested
- a053fecf6eec
- Container image
- sha256:cdd920bce783
What was not measured
The other half, so you can see exactly how far this evidence goes. A gap is printed as a gap and never filled in.
- Peak GPU memory
- this ran on a CPU machine, so there was no GPU to sample
- Behaviour over a long run
- each attempt uses the smallest documented settings and a fixed time budget, so this measures whether it runs, not how it holds up under load
- Behaviour against real services
- this run was verified against stand-in services only
The end of the recording
The last lines of the terminal session that decided this verdict, exactly as they were recorded.
],
\"test_depth\": \"tier2_mock\",
\"notes\": \"Installed pip install -e .[dev] plus partners extra. 1050 tests passed in one batc…
\"verified_how\": \"deeptutor --help prints usage, deeptutor doctor runs diagnostics. pytest on…
\"final_state\": \"Package installed via pip install -e .[dev] with partners extra. LLM feature…
}
print(json.dumps(result))
' 2>&1" in /work/repo
succeeded in 0ms:
{"install_succeeded": true, "launch_succeeded": true, "install_minutes": 1.5, "errors": [{"msg": "M…
tokens used
995,885Replay the whole session, every command from a clean machine to this point.
How it was tested
One agent, one container, no human help. It installs the project the way its own documentation says to, runs it, and fixes what breaks. Everything below is recorded as it happened: the terminal session, the log and the exact commit. The full method.
Strengths and limits
Measured facts, not opinions. How this is written.
What went well
- Installed in 1.5 minutes, faster than the median of the 116 comparable projects Argusic has measured.
- Recovered from all 4 errors without a human stepping in, which says the failures are documented well enough to solve.
- Licensed Apache-2.0, as reported by its host.
- Measured 2 times, so the result is not a one-off.
What did not, or is not known
- Only reached a running state against stand-in services, so nothing here proves it works against the real ones.
Of the 117 ai-agents projects Argusic has installed and timed, DeepTutor was the 26th fastest to reach a running state, and 87 of 117 reached one at all.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
| tested by | attempt | outcome | score | cost USD | when |
|---|---|---|---|---|---|
| Argusic Runner | 2/3 | Runs with mocks | 92.00 | 0.35 | |
| Argusic Runner | 1/3 | Runs with mocks | 92.00 | 0.20 |
Topics (from GitHub)
ai-agentsai-tutorclawbotcli-tooldeepresearchinteractive-learninglearningmulti-agent-systemsrag
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/deeptutor)Questions
- Does DeepTutor run?
- DeepTutor runs, with mocks standing in for external services. Argusic installed and launched it on a clean machine in 2 minutes, hitting 4 errors on the way, and recorded the session.
- How did Argusic test DeepTutor?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit a053fecf6eec. 2 attempts are recorded, and the full method is on the methodology page.
- What did it cost to test DeepTutor?
- The run that produced this verdict cost $0.35: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does DeepTutor take to install?
- 1.5 minutes in the run that decided this verdict, from a clean machine to a running state. That is one measured attempt, not an average.
- Does DeepTutor need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing DeepTutor?
- 4 things broke in the recorded run, and 4 were fixed without human help. Each one, and the time it cost, is listed on this page.
- How does DeepTutor compare with the alternatives?
- Of the 117 ai-agents projects Argusic has installed and timed, DeepTutor was the 26th fastest to reach a running state, and 87 of 117 reached one at all.
- Where is the evidence for DeepTutor?
- All 2 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.