Entity graph
Browse a pre-loaded systems graph with nodes, edges, and OWL-classified entities. Inspect attributes, follow links, and visualize topology in 3D.
VectorMBE
Try VectorMBE in your browser
Hosted instance, no install required. Occasionally offline during upgrades.
What you'll see
A full VectorMBE instance, pre-seeded and ready
VectorMBE goes beyond requirements management: it synthesizes hazard analyses, derives architectural constraints, and evaluates design decisions against your safety case in real time.
OWL reasoning
Run SPARQL-like queries over the ontology. Trace subclass relationships, check satisfiability, and see how formal axioms constrain the model.
Semantic search
Search by meaning, not keyword. Similarity ranking surfaces related designs, requirements, and telemetry by closeness of meaning.
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 runs at vectormbe.vectorstreamsystems.com. If it doesn't load, 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
# 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.
Recorded walkthrough
Watch a recorded walkthrough
A two-minute walkthrough of the platform: entity graphs, OWL reasoning, vector search, formal constraints, safety assessment generation, and architecture reasoning.