AUDIT.04 // 2026-10-19 · UPDATED

Open-Source AI Education Tools Audit

10 tools. 5 dimensions. Tested against public repos, docs, and commit histories — including our own four, scored with no handicap and no mercy.

METHOD // HOW_SCORED

Five dimensions, 1–5 each

DOCSDocumentation completeness
DEPLOYDeployment ease
MAINTMaintenance activity
TEACHTeaching-fit
LICLicense friendliness

Scores reflect the public state of each repository on 2026-10-19: stars, forks, last push date, README/docs depth, install path, and license. Re-scored from the 2026-10-18 edition: llm-course drops a maintenance point (no push in 8 months); Polymath and Aegis Graph gain a docs point each after their README overhauls. Deployment was judged from documented install flows, not local runs — where we couldn't verify, we scored conservatively and said so. Per our independence charter, ACLAS tools get no advantage for being ours; if anything, we graded them harder.

RANKING // 10_TOOLS

The table

#TOOLDOCSDEPLOYMAINTTEACHLICTOTAL
01DeepTutor
★41.6k · Apache-2.0
5555525/25
02Generative AI for Beginners
★121.6k · MIT
5554524/25
03Anki
★32.1k · AGPL-3.0
5554322/25
04llm-course
★83.9k · Apache-2.0
5524521/25
05Neuro-Edu SDKACLAS
★2 · MIT
3334518/25
06[AI]lice
★5 · AGPL-3.0
4325317/25
07Aegis GraphACLAS
★2 · MIT
4233517/25
08Open TutorAI
★111 · BSD-3-Clause
3324416/25
09SWOTACLAS
★0 · MIT
2522516/25
10PolymathACLAS
★0 · ODbL-1.0
3424316/25
TOOL.01 // 25/25

DeepTutor

HKUDS · University of Hong Kong

Verdict — The benchmark. pip install, Docker, multi-agent tutoring, updated daily by a university lab — last push 2026-10-18, still the most actively developed tool on this list. If you deploy one tool from this list, deploy this one.

TOOL.02 // 24/25

Generative AI for Beginners

Microsoft

Verdict — The best free curriculum for learning AI itself — 21 lessons, maintained by Microsoft, pushed 2026-10-17. Scores 4 on teaching fit only because it teaches AI, rather than being a tool for teaching.

TOOL.03 // 22/25

Anki

Ankitects

Verdict — Not an AI tool — the reference point. Two decades of spaced repetition, pushed 2026-10-16; every AI flashcard generator is measured against it. Included so the AI-native tools have something honest to beat.

TOOL.04 // 21/25

llm-course

Maxime Labonne

Verdict — The standard self-study roadmap into LLMs, with runnable notebooks at every stop. But no push since 2026-02-05 — eight months quiet. The content is stable (fundamentals don’t rot fast), so we drop maintenance to 2: a solo-maintainer project this large needs a succession plan, not just stable content.

TOOL.05 // 18/25 // ACLAS

Neuro-Edu SDK

ACLAS

Verdict — Our cognitive simulation framework. Strong concept — on-device neural kernels, multi-agent social learning — but docs and onboarding trail the leaders. We’re working on it; the issues page is open.

TOOL.06 // 17/25

[AI]lice

LMDDC Luxembourg

Verdict — Tiny but philosophically closest to us: RAG grounded in your course materials, every answer cited, Moodle sync. If you teach and self-host, this deserves more stars than it has.

TOOL.07 // 17/25 // ACLAS

Aegis Graph

ACLAS

Verdict — Credential verification via agentic GraphRAG — the hardest deployment on this list, and the narrowest teaching fit. Docs up from 3 to 4 after the 2026-10-19 overhaul (rewritten Quick Start, fraud-blacklist v2.0 documentation, Python examples). Powerful where it applies; honest about where it doesn’t.

TOOL.08 // 16/25

Open TutorAI

Open TutorAI

Verdict — Ambitious — LLM tutoring with 3D avatars and an arXiv paper. But the repo has been quiet since June 2026. Promising prototype, not yet a platform.

TOOL.09 // 16/25 // ACLAS

SWOT

ACLAS

Verdict — A tiny utility — identifies academic email domains for discount approval. Does one thing well; scores low on teaching fit because it isn’t a teaching tool and doesn’t pretend to be.

TOOL.10 // 16/25 // ACLAS

Polymath

ACLAS

Verdict — Our higher-education knowledge graph — courses, prerequisites, ISCED-F/CIP codes. Docs up from 2 to 3 after the 2026-10-19 README overhaul (corrected data examples, Python quickstart, internal memos removed) — but zero stars and zero forks mean nobody has found it yet. The asset is real; the audience is not.

CORRECTIONS

Disagree with a score?

Send evidence to [email protected] — a better doc, a simpler install, a commit we missed. Verified corrections update the table with attribution, per our independence charter.