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agent-utilities Canonical Concept Registry

Note: The machine-generated single source of truth for CONCEPT: tags is now docs/concepts.yaml (auto-generated by scripts/build_concepts_yaml.py from CONCEPT:<ID> markers in agent_utilities/). It currently tracks 70 concepts across 12 pillars. This page is a curated, human-readable narrative map and may lag the generated registry; when the two disagree, concepts.yaml wins.

Components marked 🔬 have research-backed enhancements.

Rule: All new concept proposals must go through the DSTDD design phase. See .specify/design/_template.md for the required KG analysis.


Traceability Matrix

Every concept has 1:1:1 traceability across: - Code: CONCEPT:X.Y tag in module docstrings - Tests: CONCEPT:X.Y tag in test file docstrings - Docs: Dedicated page in docs/pillars/<pillar>/


Pillar 1: Graph Orchestration Engine (ORCH)

ID Canonical Name Code Modules Tests Doc Page
ORCH-1.0 Core Orchestration Engine 17 17 Pillar Summary
ORCH-1.1 HTN Planning Pipeline 25 11 Pillar Summary
ORCH-1.2 Specialist Routing & Discovery 28 14 Pillar Summary
ORCH-1.3 Execution Safety & State 11 2 ORCH-1.3
ORCH-1.4 Capability Wiring Engine 11 2 ORCH-1.4
ORCH-1.5 DSTDD Pipeline 3 3 ORCH-1.5
ORCH-1.6 Prediction Linkage Layer 🔬 1 0 Pillar Summary
ORCH-1.7 RecursiveMAS Latent Orchestrator 🔬 0 0 Pillar Summary
ORCH-1.8 Parallel Execution & Synthesis Engine 7 1 ORCH-1.8
ORCH-1.9 Autonomous Department Orchestration 3 1 Pillar Summary
ORCH-1.10 Reactive Event Sourcing 3 1 ORCH-1.10
ORCH-1.11 WASM Micro-Agent Execution 1 1 OS-5.5
ORCH-1.12 Structured Predict-RLM Runtime 2 1 Pillar Summary
ORCH-1.13 GEPA Reflective Prompt Optimizer 2 1 Pillar Summary
ORCH-1.27 Role-Specialized Model Routing 🔬 5 2 ORCH-1.27
ORCH-1.28 Composable Skills + Generic Adapter 🔬 2 1 ORCH-1.28
ORCH-1.29 RLM Resilience + Telemetry 🔬 2 1 ORCH-1.29
ORCH-1.30 Generalizing GEPA 🔬 1 1 ORCH-1.30
ORCH-1.31 Graph-Native Optimization State 🔬 1 1 ORCH-1.31
ORCH-1.32 KG-Governed Agent Swarm 🔬 3 1 ORCH-1.32

Key modules: graph/builder.py, graph/nodes.py, graph/planning/ (unified Planner facade), graph/routing/ (Router/RoutingStrategy strategy package over graph/_router_impl.py), graph/executor.py, graph/hsm.py, graph/lifecycle.py, core/default_catalog.py, capabilities/checkpointing.py, sdd/orchestrator.py, graph/kg_graph_factory.py, orchestration/agent_runner.py, graph/parallel_engine.py, graph/manifest_generators.py, models/execution_manifest.py, graph/reactive/ledger.py, graph/reactive/dispatcher.py, core/wasm_runner.py, rlm/predict_rlm.py, rlm/gepa.py, 🔬 graph/coordination.py, 🔬 orchestration/prediction_linkage.py


Pillar 2: Epistemic Knowledge Graph (KG)

ID Canonical Name Code Modules Tests Doc Page
KG-2.0 Active Knowledge Graph 42 24 Pillar Summary
KG-2.1 Tiered Memory & Context 🔬 17 8 KG-2.1
KG-2.2 Ontology, Epistemics & DSPy Integration 27 6 KG-2.2
KG-2.3 Unified Retrieval & Graph Integrity 🔬 15 4 KG-2.3
KG-2.4 Inductive Knowledge 12 5 KG-2.4
KG-2.5 Topological Analysis 11 4 KG-2.5
KG-2.6 Domain Ontologies & Vertical Subgraphs 53 34 KG-2.6
KG-2.6 Memory Stability 13 2 Pillar Summary
KG-2.7 Multi-Domain Architecture 6 2 KG-2.7
KG-2.7 Centralized Epistemic Gateway & Transaction Proxy 3 3 KG-2.7
KG-2.7 Rust-Native High-Performance Compute (FFI) 🔬 3 3 OS-5.5
KG-2.7 Speculative Graph Brancher 🔬 1 1 KG-2.7
KG-2.7 Semantic Compactor & Refactorer 🔬 1 1 KG-2.7
KG-2.7 Single Company Brain 7 2 Pillar Summary
KG-2.7 Ingestion Engine 1 24 Pillar Summary
KG-2.11 Bi-Temporal Memory Layers 🔬 4 1 KG-2.11
KG-2.12 Memory-First Retrieval (HyDE) 🔬 4 1 KG-2.12
KG-2.13 Background Learning Engine 🔬 2 2 KG-2.13
KG-2.14 Ground-Truth Context Authority 🔬 1 1 KG-2.14
KG-2.15 Resilient Retrieval 🔬 2 1 KG-2.15
KG-2.17 Memory Hygiene 🔬 2 1 KG-2.17
KG-2.18 Evidence-Weighted Memory 🔬 1 1 KG-2.18
KG-2.19 Self-Curating Wiki 🔬 2 1 KG-2.19
KG-2.20 Mementified Context Management 🔬 4 1 KG-2.20
KG-2.21 Working Set Eviction & Memory Management 1 1 KG-2.21
KG-2.22 Pack-Driven Retrieval Signals 🔬 3 2 KG-2.22
KG-2.23 Rust-Accelerated Reasoning 1 1 KG-2.23
KG-2.24 Live Refreshable Artifact models + bounded-JSON + safe interpolation 1 1 KG-2.24
KG-2.25 the default registry is populated at import, not an empty 1 1 KG-2.25
KG-2.26 Trade-Journal Bias Auditor and Shadow Account 1 1 KG-2.26
KG-2.27 Agent Calibration and Reputation Tracking 1 1 KG-2.27
KG-2.28 Persona Decision-Heuristic Enrichment 1 1 KG-2.28
KG-2.29 Sentiment Fusion Signals 1 1 KG-2.29
KG-2.30 Geopolitical Risk Scoring 1 1 KG-2.30
KG-2.31 Dividend Sustainability & Credit/Fixed-Income Quality 1 1 KG-2.31
KG-2.32 Multi-Market Composite Backtester 1 1 KG-2.32
KG-2.33 Zero-LLM Pack-Driven Link Inference 🔬 2 1 KG-2.33
KG-2.34 Relational-Intent Retrieval 🔬 2 1 KG-2.34
KG-2.35 Schema-Pack Lifecycle and Audit 🔬 3 2 KG-2.35
KG-2.36 Pack-Driven OWL Closure 🔬 2 1 KG-2.36
KG-2.37 Research-State Domain Pack 🔬 2 1 KG-2.37

Schema-Pack 2.0 (KG-2.22–KG-2.37) turns the domain Schema Pack from a type-selection profile into a full domain retrieval+extraction+reasoning profile, closing gbrain-class gaps (recency decay, source-trust, zero-LLM typed-edge extraction, relational recall, autocut, candidate auditing) while leveraging our OWL reasoner and bi-temporal store for closure and as_of literature state that a flat brain layer cannot provide. See models/schema_pack.py, models/schema_pack_loader.py, models/schema_pack_audit.py, knowledge_graph/retrieval/{autocut,relational_intent}.py, knowledge_graph/kb/link_inference.py, and the research-state pack.

Key modules: knowledge_graph/core/engine.py, knowledge_graph/core/engine_memory.py, knowledge_graph/core/engine_tasks.py, knowledge_graph/core/graph_compute.py, knowledge_graph/core/topological_analysis_engine.py, knowledge_graph/research/research_intelligence_engine.py, knowledge_graph/memory/synthesis.py, knowledge_graph/memory/memory_materializer.py, knowledge_graph/memory/observer.py, knowledge_graph/memory/reflector.py, knowledge_graph/memory/startup_context.py, knowledge_graph/ontology.ttl, knowledge_graph/retrieval/retrieval_quality.py, knowledge_graph/pipeline/document_deletion.py, knowledge_graph/pipeline/document_update.py, domains/finance/, knowledge_graph/orchestration/engine_enterprise.py, knowledge_graph/pipeline/phases/external_graphs.py, knowledge_graph/ingestion/engine.py, scripts/install_git_hooks.py, scripts/submit_diff.py, mcp/kg_server.py, mcp/kg_coordinator.py, knowledge_graph/backends/epistemic_graph_backend.py, knowledge_graph/backends/postgresql_backend.py, knowledge_graph/backends/tiered_backend.py, knowledge_graph/backends/contrib/ladybug_backend.py, 🔬 knowledge_graph/core/ar_graph.py, 🔬 knowledge_graph/core/time_series_graph.py


Pillar 3: Agentic Harness Engineering (AHE)

ID Canonical Name Code Modules Tests Doc Page
AHE-3.0 Agentic Harness Core 16 3 Pillar Summary
AHE-3.1 Continuous Evaluation & DSPy Math Optimization 17 7 AHE-3.1
AHE-3.2 Agentic Evolution Engine 16 5 AHE-3.2
AHE-3.3 Team & Synergy Optimization 14 5 Pillar Summary
AHE-3.4 Distributed Agentic Evolution 11 1 AHE-3.4
AHE-3.5 Heavy Thinking & Background Intelligence 11 1 AHE-3.5
AHE-3.6 Backtest & Curriculum 10 2 AHE-3.6
AHE-3.7 KG-Native Task Detection 🔬 1 0 Pillar Summary
AHE-3.8 Interpretability & Model Evolution 4 2 Pillar Summary
AHE-3.9 Physical Knowledge Distillation Engine 🔬 1 1 Pillar Summary
AHE-3.10 Multi-Optimizer Prompt Selection Strategy 🔬 1 1 Pillar Summary
AHE-3.11 GitOps Commit & Evolution Boundary Traceability 🔬 1 1 Pillar Summary
AHE-3.12 LongMemEval-S Validation Harness 🔬 2 1 AHE-3.12

Key modules: harness/evaluation_engine.py, harness/agentic_evolution_engine.py, graph/team_composer.py, agentic_evolution/forge.py, knowledge_graph/orchestration/engine_ahe.py, knowledge_graph/distillation/physical_distiller.py, harness/evolve_agent.py, 🔬 harness/distributed_state_manager.py


Pillar 4: Ecosystem & Peripherals (ECO)

ID Canonical Name Code Modules Tests Doc Page
ECO-4.0 Tool Interface & MCP Factory 26 18 ECO-4.0
ECO-4.1 A2A Network & Consensus 🔬 7 3 Pillar Summary
ECO-4.2 Community Telemetry & Ecosystem Map 5 1 ECO-4.2
ECO-4.3 Market Data KG Node Models 1 1 Pillar Summary
ECO-4.4 KG MCP Server & Execution 2 0 Pillar Summary
ECO-4.5 Native Messaging Backend Abstraction 21 17 ECO-4.5
ECO-4.6 Dynamic Capability Ingestion & Discovery 5 4 ECO-4.6
ECO-4.7 Company Infrastructure Orchestration 3 2 Pillar Summary
ECO-4.8 Infrastructure Blueprint Library 1 1 Pillar Summary
ECO-4.9 Pluggable Event Queue Backend 3 2 OS-5.5
ECO-4.10 Automated Documentation & AGENTS.md Governance 4 0 Pillar Summary
ECO-4.11 Deterministic Lint Enforcement Hook 1 0 Pillar Summary
ECO-4.12 Plugin Bundle Distribution System 1 0 Pillar Summary
ECO-4.13 Ecosystem Governance & Policy Engine 3 0 Pillar Summary

Key modules: mcp/server_factory.py, mcp/kg_server.py (incl. kg_launch_terminal_agent), ecosystem/bridge.py, ecosystem/hook_installer.py, ecosystem/agents_md_reflector.py, ecosystem/lint_enforcement_hook.py, ecosystem/plugin_bundle.py, ecosystem/permission_policy.py, ecosystem/config_staleness_auditor.py, ecosystem/governance_workflow.py, ecosystem/agent_manager_dashboard.py, tools/codebase_map_tools.py, knowledge_graph/core/agents_md.py, knowledge_graph/memory/startup_context.py, graph/subagent_patterns.py, protocols/a2a_graph_skill.py, tools/tool_filtering.py, tools/dynamic_tool_orchestrator.py, knowledge_graph/core/engine_ingestion.py, knowledge_graph/core/engine_mcp_discovery.py, knowledge_graph/core/queue_backend.py, knowledge_graph/core/nats_queue_backend.py, knowledge_graph/core/kafka_queue_backend.py


Pillar 5: Agent OS Infrastructure (OS)

ID Canonical Name Code Modules Tests Doc Page
OS-5.0 Agent OS Kernel & XDG Paths 17 6 Pillar Summary
OS-5.1 Security & Auth 19 8 OS-5.1
OS-5.2 Resource Scheduling 🔬 18 4 Pillar Summary
OS-5.3 OS Guardrails & Safety Boundaries 10 5 OS-5.3
OS-5.4 Telemetry & Observability 7 3 OS-5.4
OS-5.5 Massive Scale Architecture & Sandbox 2 2 OS-5.5
OS-5.6 Distributed Replay & Compliance Engine 1 1 OS-5.6
OS-5.7 OS-Level Hardened Tool Sandbox Executor 1 1 OS-5.7
OS-5.8 Epistemic Resource Scheduler 🔬 1 1 OS-5.8

Key modules: core/paths.py, security/guardrails.py, security/tool_guard.py, core/cognitive_scheduler.py, observability/token_tracker.py, observability/audit_logger.py, graph/reactive/budget.py, core/wasm_runner.py, gateway/aggregator.py, gateway/registry.py, gateway/config.py, gateway/api.py, gateway/ws.py


Gateway Service Dashboard (GW)

ID Canonical Name Code Modules Tests Doc Page
OS-5.9 Gateway Service Dashboard 58 7 OS-5.9

Key modules: gateway/__init__.py, gateway/models.py, gateway/registry.py, gateway/config.py, gateway/aggregator.py, gateway/api.py, gateway/ws.py, gateway/widgets/base.py, gateway/widgets/*.py (50 widget modules)


Concept Lifecycle

New Feature Request
  ┌────────────────────┐
  │ KG Analogy Search  │  ← Does a similar concept already exist?
  │ (similarity ≥ 0.7) │
  └────────┬───────────┘
    ┌──────┴──────┐
    │             │
  EXTEND      PROPOSE
    │             │
    ▼             ▼
  Augment    NewConceptProposal
  existing   (requires C4 diagram,
  concept     pillar assignment,
              pipeline phase)
    │             │
    └──────┬──────┘
  .specify/design/<feature>/design.md
  SDDManager.validate_design()
  .specify/specs/<feature>/spec.md

Pillar 6: GeniusBot Desktop Cockpit (GBOT)

ID Canonical Name Code Modules Tests Doc Page
GBOT-6.0 Desktop Cockpit Orchestrator geniusbot/geniusbot.py tests/test_geniusbot.py GeniusBot Cockpit
GBOT-6.1 Ecosystem Dynamic Tab Matrix geniusbot/plugins/ tests/test_plugins.py GeniusBot Cockpit
GBOT-6.2 Embedded Terminal Sandbox geniusbot/qt/terminal_widget.py tests/test_terminal_widget.py GeniusBot Cockpit
GBOT-6.3 Universal Tool Approval Gate geniusbot/qt/tool_guard.py tests/test_tool_guard.py GeniusBot Cockpit
GBOT-6.4 Topological Cockpit Memory geniusbot/utils/agent_bridge.py tests/test_agent_bridge.py GeniusBot Cockpit
GBOT-6.5 Multi-Tenant Daemon & Tray geniusbot/utils/daemon.py tests/test_daemon.py GeniusBot Cockpit
GBOT-6.6 High-Performance Visual Finance Cockpit geniusbot/qt/finance_cockpit.py tests/test_finance_cockpit.py GeniusBot Cockpit

Cross-Repo: LLM Trainer (CONCEPT:ML-*)

A deliberate cross-repo concept family (spans data-science-mcp + agent-utilities + universal-skills), so it uses a repo-neutral ML-* prefix rather than a single pillar. It expands AHE-3.1 (in-house training substrate) and DSCI-004. Not part of the per-pillar contiguity gate. The agent-utilities side is prompt personas + the train_model workflow (no in-code CONCEPT: markers, so it does not appear in concepts.yaml). Canonical registry: data-science-mcp/docs/concepts.md; design: .specify/specs/llm-model-trainer/; deep dive: architecture/in_house_training_substrate.md.

ID Canonical Name Home repo
ML-001 Trainer Hardening (shared run_loop) data-science-mcp
ML-002 Corpus Curation Engine data-science-mcp
ML-003 Pretrain From Random Init data-science-mcp
ML-004 Experiment Tracking (MLflow + KG mirror) data-science-mcp
ML-005 Distributed Scale-Out (FSDP + DeepSpeed) data-science-mcp
ML-006 Benchmark Evaluation (lm-eval) data-science-mcp
ML-007 Agent-Driven Training (personas + train_model workflow) agent-utilities + universal-skills

Concept ID Completeness (registry reconciliation)

This section keeps the curated narrative map's ID space contiguous (the check-concept-gaps governance gate requires 0..max with no holes). It reconciles two cases that previously left gaps: (a) concepts that exist in docs/concepts.yaml / code but were never written into the narrative tables above, and (b) ID numbers that were never assigned (skipped during early numbering) — documented here as Reserved so the number is accounted for rather than silently missing. docs/concepts.yaml remains the machine source of truth.

Pillar 1 — Graph Orchestration (ORCH) — reconciled IDs

ID Canonical Name Status
ORCH-1.14 Reserved (never assigned)
ORCH-1.15 Reserved (never assigned)
ORCH-1.16 Reserved (never assigned)
ORCH-1.17 Reserved (never assigned)
ORCH-1.18 Reserved (never assigned)
ORCH-1.19 Reserved (never assigned)
ORCH-1.20 Service Registry Initialization Active
ORCH-1.21 Execution Provenance Tracking Active
ORCH-1.22 Workflow Persistence & Replay Active
ORCH-1.23 Semantic Workflow Retrieval Active
ORCH-1.24 Workflow Lifecycle Management Active
ORCH-1.25 Reserved (never assigned)
ORCH-1.26 RLM Synthesis Fallback Active

Pillar 2 — Epistemic Knowledge Graph (KG) — reconciled IDs

ID Canonical Name Status
KG-2.8 Ingestion & Enrichment Engine Active
KG-2.9 Universal DataConnector Active
KG-2.10 Orchestration Synthesis Active
KG-2.16 Memory Consolidation Stability Active