Concept Registry — epistemic-graph¶
Prefix:
CONCEPT:EG-*/CONCEPT:EPG-*Bridge:CONCEPT:ECO-4.0(Unified Toolkit Ingestion)
Project-Specific Concepts¶
These concepts are actively realized by the compiled Rust/Python Epistemic Graph backend in this repository.
| Concept ID | Name | Description |
|---|---|---|
CONCEPT:KG-2.16 |
High-Performance Graph Compute Engine | Optimized native-compiled memory model and search traversal (DFS/BFS) for the Knowledge Graph. |
CONCEPT:ORCH-1.29 |
Compiled Orchestration Kernel | A fast, deterministic core designed to resolve multi-agent dependency loops and order pipeline executions. |
CONCEPT:KG-2.17 |
Compiled Semantic Reasoner | Ultra-fast native-compiled Datalog OWL forward chaining reasoning engine. |
CONCEPT:KG-2.18 |
High-Performance Quant Epistemic-Graph Engine | Native-compiled quantitative metrics computation, portfolio optimization, regime detection, and order matching simulation engine (replacing Python numpy/scipy). |
CONCEPT:KG-2.19 |
Tokio Service Layer | High-performance Tokio async service exposing RPC endpoints over UDS/TCP for inter-agent communication. |
Cross-Project References (from agent-utilities)¶
| Concept ID | Name | Origin |
|---|---|---|
CONCEPT:ECO-4.0 |
Unified Toolkit Ingestion | agent-utilities |
CONCEPT:KG-2.0 |
Knowledge Graph Core Core Architecture | agent-utilities |
CONCEPT:ORCH-1.0 |
Multi-Agent Orchestration Abstraction | agent-utilities |
CONCEPT:KG-2.8 |
Code/Test Enrichment & Interlinking | agent-utilities |
| \n## CONCEPT:KG-2.20\nRust-Native Finance Compute Suite | ||
| \n## CONCEPT:KG-2.22\nGraph Network Protocols | ||
| \n## CONCEPT:KG-2.22\nData Science Primitives | ||
| \n## CONCEPT:KG-2.21\nAST Ingestion Pipeline |