Emma Leonhart
Projects

What I’m building

Each project now lives on its own subdomain of emmaleonhart.com — consolidating what used to be scattered across separate domains into one place.

📜 Sutra Flagship
sutra.emmaleonhart.com

A geometrically compiled language where logical operations over vector spaces are resolved at compile time into matrix multiplications. Branches are continuous weighted blends, loops are geometric rotations, and programs compile to straight-line tensor work — GPU-native and differentiable by construction.

Language Geometric compilation GPU-native GitHub
loka.emmaleonhart.com

A lean, high-performance RDF-star triplestore written in Rust with native HNSW vector indexing, ontochronological temporal queries, and a SPARQL+ query language — a single system where vectors are just triples, replacing both a vector database and a SPARQL triplestore.

Rust Triplestore Vector + RDF GitHub
yantra.emmaleonhart.com

A neuro-symbolic, GPU-native operating system written in Sutra. The whole running system — kernel, processes, IPC, GUI — is one differentiable tensor-op graph; processes exchange axons (structured embeddings), so local AI integrates without a translation layer.

Operating system Sutra GPU-native GitHub
querykey.emmaleonhart.com

A social network you run locally from your own desktop. QueryKey has the elements of a personal relationship manager and uses local AI agents to help you keep up with the people in your life — while respecting your privacy and theirs. Built on a local-first ingest → knowledge-graph engine.

Local-first Social / PRM Local AI GitHub
alignment.emmaleonhart.com

Research testing whether redemption-narrative system prompts measurably move emergently misaligned LLMs back toward alignment — behaviorally, on self-rated harmfulness, and geometrically against a derived misalignment direction. Theoretical framing: emergent misalignment as moral injury, with cross-scale results across Llama and Qwen.

Research AI safety Interpretability GitHub
latent-space.emmaleonhart.com

Reproducibility artifact for the Claw4S 2026 paper applying TransE-style relational displacement analysis to frozen embedding models with Wikidata triples as probes — surfacing 30 model-agnostic relational operations and a silent [UNK] tokenizer defect in mxbai-embed-large.

Research Embeddings Wikidata GitHub
emmaleonhart.com/projects