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Skillful Alhazen

Research Agents with Ontological Notebook Memory

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Skillful Alhazen
Builder
Gully Burns
Build Type
Agent
Lifecycle
Working prototype
Consensus Score
80.8
CATEGORIES
ResearchData AnalysisResearch
Go Deeper
Skillful-Alhazen as a personal AI research assistant that uses skills to define domain-specific instructions, tools (coded as scripts), and a new kind of `ontological notebook' as memory. Users interact with the assistant in plain language, and the assistant applies the semantic definitions from its memory schema to execute work. It retains structured context based on data in the explicitly defined domain model it can access, query, and modify. Skillful-Alhazen uses TypeDB to implement the ontological notebook. This is a recently-commercialized, closed-world, declarative, logic-based persistent knowledge graph with several desirable properties in this application: including type-safety, strong inference, easy refactoring, and scale.
Stack Used
Claude + Skills, TypeDB, NextJS Dashboards