The “Brain” powers Alix’s core intelligence. It decides which skill, tool, or piece of knowledge to use for every message. Modular and upgradable for new abilities.
Memory
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Memory stores recent conversations and key information during your session. Only registered users can save data for future use—public visitors’ sessions are private and temporary.
Research
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Alix is designed for scientific research support—offering data analysis, research notes, and more. As a visitor, you can chat and ask research questions, but full research tools require login.
Modules
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“Modules” are Alix’s special skills, like thinning measurements, phenology, or live weather lookup. Each module can be upgraded or customized by expert users.
Admin
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Administrative features (like system backups, audit logs, and advanced settings) are restricted to approved users and not visible in public/demo mode.
Settings
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System and personal settings—like memory, privacy, and notifications—are available to logged-in users. In demo mode, your conversation is private and nothing is stored.
About the Project: Alix is a modular AI assistant for science, research, and orchard management—built by Paul O’Connor (UMass Amherst) as part of his PhD. Alix combines leading AI, memory, and practical field knowledge. Jon Clements (UMass Cold Spring Orchard) contributes technical insight and field testing, helping adapt Alix to modern agricultural practice.