I'm Moroya Sakamoto — systems engineer based in Japan, building Project A.L.I.C.E.
ALICE is a modular ecosystem of 514 Rust crates and 299 SaaS products that encode computational laws — physics, geometry, cryptography, finance, AI/ML, robotics, healthcare, logistics, and every major industry vertical — into deterministic, hardware-native binaries. Instead of shipping raw data across networks, ALICE ships the rules that regenerate it.
| Metric | Value |
|---|---|
| Rust Crates | 211 core + 299 SaaS + 4 commercial = 514 total |
| SaaS Products | 299 (all public, AGPL-3.0) |
| Eco-System Bridges | 1,301 across 237 bridge files |
| Project-ALICE (AGI) | 9 crates, 98K LoC, 2,376 tests |
| Top Crate | ALICE-SDF — 1,093 tests (v1.7.3, 25 modules) |
| clippy (pedantic+nursery) | 0 warnings across all crates |
| LLM | ALICE-Cognitive-9B-Ternary (Qwen3.5-9B, 1.58-bit QAT, ~3.6GB) |
| Recent focus | GNSS (QZSS L6/L1S, RTCM3, cycle-slip, spoofing) + Ed25519 audit trail (34+ crates) |
| 2026-07 D-split | 117 crates modularized — 0 monoliths remaining (F 65 + G 25 + H 22 + I 5, 2026-07-05〜06, 15,592 tests, 33-pattern skill library, karikari-review §10 全 crate pass, 全 CI green, 195/198 (98.5%) modularized+, feature-gated split pattern 確立) |
| Domain | Crates | What it encodes |
|---|---|---|
| Geometry & 3D | SDF, LOL, View, Animation, Font, Print, PointCloud, Bamboo | SDF compiler, LOL DSL, mesh generation, 3D printing pipeline |
| Physics & Simulation | Physics, Kinematics, Motion, Climate, Fluid, Atoms, Robotics, Swarm | Fixed-point deterministic physics, Navier-Stokes, swarm intelligence |
| AI/ML & LLM | ML, NLP, Vision, Embedding, RL, Diffusion, RAG, Train, TRT, LLM, GAN, AutoML | 1.58-bit QAT, ternary inference, GGUF, speculative decoding |
| AGI Core | Project-ALICE (9 crates) | 106 tools, 7 reasoning strategies, BDI, IIT Phi, ethics, swarm, innovation |
| Networking | Streaming-Protocol, Edge, CDN, DNS, API, Cloud-Gateway, VNet, MQTT, gRPC, HTTP, WebSocket | Zero-copy transport, SDN overlay, service mesh |
| Data & Storage | DB, Cache, VectorDB, Lakehouse, Search, ETL, StreamProc, CDC, TimeSeries, Graph | Lock-free caching, columnar lakehouse, change data capture |
| Security | Auth, AuthZ, Crypto, PKI, SIEM, WAF, DLP, SecretVault, DataShield | Zero-knowledge auth, certificate lifecycle, policy-based authz |
| Finance | Ledger, Risk, FIX, Settlement, Quant, MarketData, FinCompliance, Billing, Payment | FIX protocol, stochastic pricing, deterministic matching |
| Science | Bio, Quantum, Genome, Astro, Energy, Chemistry, Optics, Climate | Quantum circuits, molecular dynamics, celestial mechanics |
| Infrastructure | Container, Queue, RTOS, Terraform, Monitor, Scheduler, Hypervisor, OTA | Container orchestration, IaC, OTA firmware, sensor fusion |
| Media | Video, Audio, Voice, TTS, ASR, OCR, Camera, Codec, Subtitle | Parametric voice codec, AV pipeline, speech recognition |
| IoT/Edge | Edge, BLE, NFC, LoRa, Sensor, Serial, IoT, Drone, RTOS | Edge inference, BLE/LoRa/NFC protocols, UAV control |
| XR/Spatial | AR, VR, SLAM, Digital-Twin, Haptic, GameEngine, Metaverse | Spatial composition, SLAM mapping, game ECS |
| DevTools | CI, Debug, Lint, Test, QA, Sandbox, PackageRegistry, LogMgmt | Build DAG, AST matching, test automation |
| Compiler/Language | Compiler, VM, Parser, LOL, WASM | DSL compiler, bytecode VM, law-oriented DSL |
Full industry vertical coverage — every SaaS follows MIT Core + AGPL-3.0 Shell pattern:
| Category | Products | Examples |
|---|---|---|
| AI/ML | 18 | LLM, AutoML, RAG, Embedding, Vision, OCR, ASR, TTS |
| Data & Infrastructure | 36 | DB, VectorDB, Cache, CDN, DNS, Container, Terraform, Monitor |
| Security & Compliance | 20 | Auth, WAF, SIEM, DLP, PKI, GRC, ESG, DataShield |
| Finance & Commerce | 18 | Ledger, Payment, POS, Invoice, Ecommerce, InsurTech, IPO |
| Healthcare | 6 | EHR, Telemedicine, Pharmacy, Dental, CareTech, Wellness |
| Business Operations | 20 | CRM, ERP, HRM, ATS, Payroll, ProjectMgmt, RPA, BI, Support |
| Real Estate & Construction | 3 | PropTech, Construction, BIM |
| Education | 3 | EdTech, LMS, Exam |
| Travel & Hospitality | 5 | Travel, PMS, Booking, Revenue, FoodTech |
| Transport & Mobility | 4 | Mobility, Aviation, Maritime, Railway |
| Smart Infrastructure | 6 | SmartCity, PowerGrid, WaterMgmt, WasteMgmt, Disaster, Recycle |
| Primary Industry | 6 | Agri, AgriIoT, Fishery, Forestry, Mining, SpaceTech |
| Media & Creative | 10 | Music, Manga, Animation, DAM, CMS, NoCode, GameCloud, Metaverse |
| Lifestyle | 3 | PetTech, SportsTech, Wellness |
| Text-to-CAD | 1 | Text → LOL DSL → SDF → .3mf (Bambu Lab) |
| + 140 more | ... | Networking, IoT, Codec, Streaming, etc. |
- Send the law, not the data — encode rules as deterministic functions; reconstruct on the edge
- Hardware-native performance — SoA layout, SIMD 8-wide (AVX2/NEON), branchless logic, division exorcism
- Zero-cost composition — each crate is independent; combine only what you need
- 100/100 quality standard — clippy pedantic+nursery 0 warnings, comprehensive tests, fmt clean
- Full-stack SaaS — every core crate has a corresponding AGPL-3.0 SaaS with Stripe billing
Rust · PyO3 · SIMD (AVX2/NEON) · Rayon · wgpu · Cranelift JIT
TypeScript · Next.js · Supabase · Stripe
Qwen3.5-9B · 1.58-bit QAT · DeltaNet