amosblomqvist/learnharness

This page introduces an external open-source repository. It is not an HDATF product.

What it does

LearnHarness is an AI learning application that connects a learner's present understanding to a target through lessons and practice. Topic goals, answers, confidence and reasoning inform prerequisite checks, plans, explanations and questions. It accumulates propositions with their premises and conclusions in a knowledge graph rather than storing only right-or-wrong outcomes. Earlier sessions can inform later teaching and practice, and personal notes can be imported. Official architecture documentation separates extraction from teaching prose, identity review against existing knowledge and deterministic storage merging. The graph-tool source also exposes different information to diagnostic and extraction-review roles. Desktop releases for macOS, Windows and Linux start with provider API keys and model selection. Dictation and web search need separate service keys, and configured model providers receive task context. Chats, graphs and settings are local files, not proof of entirely offline learning. Neither reasoning accuracy nor educational effectiveness is established by the project description alone, so model output still needs checking.

License

AGPL-3.0 Network copyleft. Offering a modified version as a service also requires releasing the source. Review before any product use.

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Only repositories in the ranked Trendshift lists are included, and the lists are used only to find candidates. We do not copy their ranks. Descriptions, licenses and star counts come from each GitHub repository. The notes are our own reading. We have not tested these projects, and a place on a trending list does not prove quality.