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
git clone https://github.com/ThePikey/AOS_GLM_language.git
cd AOS_GLM_language
pip install -e .make all
make test# 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")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')# 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 0x5E3Start the ultra-low latency HTTP server:
python3 -m aos_glm.server --port 8000 --host 0.0.0.0Endpoints:
- 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.cfffor formal academic and industrial attribution.