Evaluated Applications builds high-performance .NET libraries. Most share one idea: computing with
holographic vectors, over a runtime that tunes itself to your hardware. The tools below run those libraries
entirely in your browser — no server, no upload, nothing leaves your device. Everything is on NuGet today.
9 packagesall on NuGetnet8.0free to useone shared foundation
Vector-symbolic computing for .NET. Bind, bundle, and unbind hyperdimensional / phasor (HRR) vectors
with a SIMD codec — the holographic primitive the rest of these libraries are built on.
An async pipeline runtime: resource-gated concurrency with adaptive self-tuning, sagas with
compensation, middleware, and a fluent builder. The shared execution engine underneath the other libraries.
Does the work of a MediatR + Polly + Dataflow stack — one dependency, ⅓ the allocation, zero dropped requests. See the benchmark →
An embeddable holographic database: data stored as one associative store and queried three ways over
one copy — exact SQL by key, similarity by content (NEAREST), and constant-time aggregates. Real ACID
with a write-ahead log, and a durable, larger-than-memory paged engine that spills to disk.
On a 10M-invoice ledger joined to 200k customers, the dashboard rollups resolve in microseconds and stay flat as the ledger grows — same SQL, same data, single-table and cross-table joins, verified identical against DuckDB and SQL Server. See the benchmarks →
The .NET client for a remote HoloDb server. Connect over TLS with a token, then run SQL and bulk-load
with the same surface as the in-process engine. Columnar results stay columnar on the wire.
The HoloDb wire contract: length-prefixed TCP framing and a columnar-preserving codec. Normally
pulled in transitively by the client — you rarely reference it directly.
A holographic transformer for .NET: HoloFormer attention with training and inference, built on the
Phasor codec. Dependency-free and AOT / trim-safe, so it drops into any .NET app without native baggage.
Optional ILGPU / CUDA acceleration for AlgFormer: batched GPU forward + backward training and GPU
inference, with automatic CPU fallback when no CUDA device is present. The core stays dependency-free.
A pathfinding and game-AI SDK: navmesh pathfinding, multi-agent scheduling, dynamic obstacles,
line-of-sight, fog-of-war, influence maps, and grid tactics. Headless, and parallel on the EvalApp runtime.
A holographic voxel engine: level-of-detail-native spatial storage on the Phasor codec, SIMD
throughout, with procedural generation. Near data stays crisp, far data degrades gracefully.
These aren't nine unrelated packages. Phasor is the vector-symbolic core — the holographic math.
EvalApp is the runtime that schedules and self-tunes the heavy work. HoloDb, AlgFormer, Tracer, and HoloVoxel
are what you get when you build a database, a neural network, a game-AI SDK, and a spatial engine on that same foundation.