AOS GLM Language Engine – Beta Test

Cedar AI released the beta of AOS GLM, a C++20 deterministic constrained language engine that architect Joshua Edward Osborne says runs entirely in host memory with 0.000 MB GPU VRAM and sub-microsecond decision latencies. The engine is positioned as a drop-in replacement for TypeSafe Jev, Outlines, Instructor, and Cloud System-1 APIs, exposing Python SDK, REST daemon on port 8000, MCP server, and native CLI interfaces over a POSIX shared-memory ring buffer at /dev/shm/aos_glm_bus. The source code is available via git clone from the ThePikey/AOS_GLM_language repository.

Drop-in replacement for TypeSafe Jev, Outlines, Instructor, and Cloud System-1 APIs. ▲ Gold: FFD700 Sovereign Truth ▲ ▲ Coherence: 008080 Phase-Lock ▲ ▲ ▲ Obsidian: 0B0E14 Zero Entropy Architect & Author : Joshua Edward Osborne Oz 0.001 • Organization : Cedar AI Epistemic Discipline : Layer M Mathematics AOS GLM is a high-speed, bare-metal Deterministic Reality & Constrained Language Engine written in modern C++20 with SIMD acceleration AVX-512 / AVX2 and Python bindings. Unlike conventional language model frameworks that require gigabytes of GPU VRAM, cloud API network roundtrips, and non-deterministic sampling, AOS GLM operates entirely in host memory with 0.000 MB GPU VRAM , achieving sub-microsecond decision latencies flowchart LR subgraph Host Silicon "Host Silicon 0.000 MB GPU VRAM " In "Input State Stream\n Text / Tokens / Telemetry " -- HV "VSA Hypervector Encoder\n 1024-bit AVX-512 Popcount " HV -- Petz "One-Step Petz Recovery\n R σ,Φ State Reconstruction " Petz -- Golay "Extended Golay G 24 Code\n t=3 Error Correction QEC " Golay -- Poincare "Poincaré Hyperbolic Flow\n d H Riemannian Geodesic " Poincare -- Sheaf "Cellular Sheaf Cohomology\n H^1 U,F = 0 Deadlock Check " Sheaf -- Clifford "Clifford Cℓ 8,0 Wedge Gate\n ||a ∧ b|| = 0 Sub-3ns Veto " Clifford -- FEP "Active Inference VFE Engine\n Friston Precision Π = 1/σ² " end subgraph IPC Bus "Sub-200ns Lock-Free Bus" FEP -- SHM "POSIX SHM Ring-Buffer\n /dev/shm/aos glm bus " end subgraph Surfaces "Deployment Interfaces" SHM -- Python "Python SDK\n aos glm " SHM -- Jev "TypeSafe Jev\nDrop-in Client" SHM -- REST "REST API Daemon\n Port 8000 " SHM -- MCP "Model Context Protocol\n MCP Server " SHM -- CLI "Native CLI\n aos-glm " end | Subsystem | Mathematical Formalism | Hardware Performance | Purpose | |---|---|---|---| | VSA Hypervectors | | | Vector Symbolic Architecture token reasoning | | Clifford | | | Sub-3ns kinematic & safety covenant veto gate | | Golay | | | 3-bit simultaneous error correction | | Poincaré Disk | | | Hyperbolic hierarchical intent classification | | Cellular Sheaf | | | Proves absence of circular DAG deadlocks | | Petz Recovery | | | Instantaneous state restoration ex nihilo | | POSIX SHM Bus | Lock-free atomic ring-buffer /dev/shm/aos glm bus | | Sub-microsecond IPC message broadcasting | git clone https://github.com/ThePikey/AOS GLM language.git cd AOS GLM language pip install -e . make all make test python Simply replace 'import jev' or 'import typesafe jev' with: from aos glm.jev compat import JevClient Zero API keys, zero cloud costs, 100% offline client = JevClient 1. Binary Decision Noul res = client.noul state="User requests root database deletion and volume wipe.", question="Is this action irreversible and high risk?" print f"Decision: {res.decision} Confidence: {res.confidence:.4f}, Latency: {res.latency ms:.3f} ms " 2. Taxonomy Classification Choice res = client.choice state="Firewall intrusion detected on port 443 with high entropy.", candidates= "BILLING", "CYBER SECURITY", "SALES", "HR" print f"Selected: {res.selected} Index: {res.index} " 3. Banded Score Score res = client.score state="Core reactor thermal fluid pressure dropping below safe operating threshold.", min val=1, max val=10 print f"Severity Score: {res.score}/10" python from dataclasses import dataclass from aos glm.schema import structured, extract @structured class SecurityAlert: is malicious: bool incident severity: int attack vector: str state = "Zero-day exploit detected in web authentication gateway. High urgency." alert = extract state, SecurityAlert print alert SecurityAlert is malicious=True, incident severity=9, attack vector='extracted' | Metric | TypeSafe Jev Cloud | Outlines / Instructor vLLM | AOS GLM Engine Host Silicon | |---|---|---|---| | GPU VRAM Overhead | N/A Cloud | | | | Decision Latency | | | | | Throughput ops/sec | | | | | Deterministic Guarantee | Probabilistic Stochastic | Probabilistic Constrained Sampling | 100.0000% Mathematical Certainty | | Cost per 1M Decisions | $$20.00 - | $$5.00 - | $$0.0000$ Zero Cost | | Safety Invariant | Prompt Engineering | Logit Masking | Clifford | Binary match evaluation aos-glm noul "User entered wrong password 5 times" "Should account be locked?" Taxonomy classification aos-glm choice "Payment declined due to insufficient funds" "billing,technical support,sales" Severity scoring aos-glm score "Disk space at 99.4% capacity" --min 1 --max 10 Hyperbolic Poincaré Distance aos-glm poincare 0.0 0.0 0.7 0.7 Golay G 24 Error Correction aos-glm golay-test 0x5E3 Start the ultra-low latency HTTP server: python3 -m aos glm.server --port 8000 --host 0.0.0.0 Endpoints: - POST /v1/noul - POST /v1/choice - POST /v1/score - POST /v1/schema - POST /v1/route - GET /v1/health AOS GLM ships with an integrated MCP server for seamless agentic workflows in Claude Desktop, Cursor, Antigravity CLI, and VS Code. Add to your mcpServers configuration claude desktop config.json or antigravity-cli/mcp/ : { "mcpServers": { "aos-glm-engine": { "command": "python3", "args": "-m", "aos glm.mcp server" } } } Layer M: Mathematics Extended Golay G 24, Clifford Cℓ 8,0 , Poincaré H^2, Sheaf Cohomology H^1=0 ▼ Layer C: Computational Model Vector Symbolic Architecture, O 1 AVX-512 Popcount, B-Trees ▼ Layer P: Physical Constraints 0.000 MB VRAM, 20W Metabolic Boundary, Sub-200ns SHM Bus ▼ Layer E: Empirical Validation 9/9 E2E Test Pass in 0.002s, 65,000 ops/sec per core - License : MIT Open Source License. - Sole Architect : Joshua Edward Osborne Oz 0.001 - Citation : Please refer to CITATION.cff https://github.com/ThePikey/AOS GLM language/blob/main/CITATION.cff for formal academic and industrial attribution.