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Build, manage, and explore OWL 2 ontologies with AI-assisted analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ontoloom" yet — see the docs or source repo.
Create an initial OWL 2 ontology for 'university course management' with core classes, object properties, data properties, and 10 basic axioms, and explain how the elements relate to each other.
An extendable ontology draft with key concepts, property definitions, and basic axiom explanations.
Analyze the current ontology for repeated class hierarchy patterns, symmetric relation definitions, or reusable restriction structures, and list the matches with optimization suggestions.
A structural matching report highlighting repeated patterns, potential issues, and reusable modeling structures.
Organize all axioms related to 'teacher-course-department' in the ontology, group them by theme, flag conflicts or redundancies, and suggest a simplified revision.
A grouped axiom list with conflict and redundancy flags, plus actionable optimization recommendations.
Lets AI agents query, explore, and manage ontologies for structured knowledge work.
Connect to Onto via MCP to manage realms, templates, entities, diagrams, and relations.
Connect Ollama to MCP clients for real-time web search and content fetching.
Connect local Ollama models to MCP clients for discovery and Q&A.
Manage, version, and query a governance-grade Markdown knowledge base.
Build, run, and debug real 2D and 3D games via AI conversation.