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The hosted demo is live. It may be temporarily offline at times for enhancements and server migration — if it doesn't load, watch the walkthrough video below, or contact us to schedule a live walkthrough.

Watch the demo

See VectorMBE in action

A two-minute walkthrough of the platform: entity graphs, OWL reasoning, vector search, formal constraints, safety assessment generation, and architecture reasoning.

This walkthrough covers the core VectorMBE interface and workflows. Contact us to request a live walkthrough or a demo on a specific topic.

What you'll see

A full VectorMBE instance, pre-seeded and ready

Entity graph

Browse a pre-loaded systems graph with nodes, edges, and OWL-classified entities. Inspect attributes, follow links, and visualize topology in 3D.

OWL reasoning

Run SPARQL-like queries over the ontology. Trace subclass relationships, check satisfiability, and see how formal axioms constrain the model.

Vector search

Search by meaning, not keyword. Vector embeddings rank similar designs, requirements, and telemetry by semantic proximity.

Formal constraints

Evaluate hard constraints that override probabilistic suggestions. See pass/fail results with severity levels and audit trails.

Safety assessment generation

Automatically synthesize hazard analyses, fault trees, and FMEA entries from your model graph. VectorMBE reasons over failure modes, propagation paths, and mitigation coverage to produce auditable safety artifacts.

Architecture reasoning

Ask architectural questions in natural language and receive answers grounded in your actual model. VectorMBE evaluates design decisions, surfaces constraint violations, and explains the rationale behind derived allocations and interface definitions.

Live demo

Try the live demo

The hosted VectorMBE demo at vectormbe.vectorstreamsystems.com is available now. It may be temporarily offline at times while we roll out enhancements and complete a server migration — if it doesn't load, check back shortly or contact us for a live walkthrough.

GitHub Sponsors help fund ongoing development and hosting — your support keeps the demo online and accelerates new features.

Run locally

Prefer to run VectorMBE on your own machine? Build the Rust backend and the React UI from source.

Show terminal instructions
bash
# Terminal 1 — start the backend
cd VectorMBE
export LD_LIBRARY_PATH="target/release/build/torch-sys-*/out/libtorch/libtorch/lib:$LD_LIBRARY_PATH"
VECTORMBE_REQUIRE_TORCH_GPU=false ./target/release/vectormbed

# Terminal 2 — start the UI
cd VectorMBE/ui
npm run dev

# Open the local UI in your browser

Requires Rust, Node 22, and a LibTorch setup. Or use Docker: docker-compose up --build in the VectorMBE repo.