AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
翻译准备中
正在加载完整 README。 以下为已保存的摘录。
Studyflow is a BPMN-based visual notation for coordinating experiments, for machines and humans. One diagram is the protocol, the runnable experiment, the analysis specification, and the publication figure.
• Webapp: behaverse.org/studyflow-modeler. Author, validate, simulate, export, and run diagrams in the browser.
• CLI: studyflow manage and run diagrams locally. studyflow ui, or studyflow edit, serves the modeler from your machine.
MIT. See LICENSE.
See also THIRD-PARTY-NOTICES.md for third-party licenses.查看完整 README ↗Studyflow is a BPMN-based visual notation for coordinating experiments, for machines and humans. One diagram is the protocol, the runnable experiment, the analysis specification, and the publication figure.
studyflow manage and run diagrams locally. studyflow ui, or studyflow edit <file>, serves the modeler from your machine.brew trust https://github.com/behaverse/studyflow-modeler # Homebrew 6 loads a third-party tap only once trusted
brew tap behaverse/studyflow https://github.com/behaverse/studyflow-modeler
brew install studyflow
studyflow run study.studyflow.png
npm install
npm run dev # modeler
npm run dev:desktop # the same, opened as the desktop app
npm run test
npm run build # produces dist/
MIT. See LICENSE.
See also THIRD-PARTY-NOTICES.md for third-party licenses.
See CONTRIBUTING.md. AGENTS.md has the commands, the map in more detail, and the rules the code follows.