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Roadmap

This roadmap evolves with the project.

Phase 1: OntoCore ✅

Status: Complete

The foundation. OntoCore is our neuro-symbolic core that transforms natural language skill definitions into validated OWL 2 DL ontologies.

  • Natural language parsing with Claude
  • OWL 2 DL serialization (RDF/Turtle)
  • SHACL validation gatekeeper
  • Security audit pipeline
  • 156+ tests

Phase 2: OntoSkills ✅

Status: Complete

The knowledge base. OntoSkills are the compiled, validated skills published from OntoCore — ready to be queried by agents.

  • Core skill library compilation
  • Public skill registry
  • Skill versioning and updates
  • Dependency management

Phase 3: OntoMCP ✅

Status: Complete

The interface. OntoMCP exposes OntoSkills via the Model Context Protocol, giving any MCP-compatible agent instant access to structured knowledge with sub-millisecond SPARQL queries.

  • Rust MCP server with stdio transport
  • Oxigraph in-memory graph store
  • SPARQL 1.1 query interface
  • 12 semantic tools (list_skills, find_by_intent, plan_from_intent, etc.)
  • Claude Code integration

Phase 4: OntoStore 🔨

Status: In Development

The marketplace. OntoStore is a centralized repository where teams can publish, discover, and share ontologies.

  • Ontology registry with search
  • Version management
  • Team collaboration features
  • Community contributions

Phase 5: OntoClaw 💡

Status: Planned

The agent. OntoClaw joins the Claw family (OpenClaw, NanoClaw, ZeroClaw) as an autonomous agent powered by structured knowledge — reasoning with precision, not hallucination.

  • Agent architecture design
  • Multi-agent collaboration
  • Knowledge graph reasoning
  • Production deployment

Track Progress

Follow development on GitHub.

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