kontextual-engine/registry/capabilities/capability.communication.context-engine.md

id, name, summary, owner, status, domain, tags, maturity, external_evidence, discovery, availability, relations, evidence, consumer_guidance, promotion_history

id	name	summary	owner	status	domain	tags	maturity	external_evidence	discovery	availability	relations	evidence	consumer_guidance	promotion_history
capability.communication.context-engine	Kontextual Engine (Knowledge Operations Runtime)	Headless knowledge-operations engine turning heterogeneous information assets into persistent, contextual, governed, retrievable, transformable, and agent-operable knowledge.	kontextual-engine	draft	communication	knowledge context runtime	discovery availability current target confidence rationale D4 D5 medium INTENT.md, wiki/ProductRequirementsDocument.md, wiki/FunctionalRequirementsSpecification.md, a scope-research bundle, and multiple architecture/implementation docs (architecture-blueprint, architecture-core-implementation, asset-registry-implementation, stack-decision) document scope and boundaries in real depth, including explicit boundary docs vs markitect-tool. current target confidence rationale A1 A3 medium Python package (`kontextual-engine`), pip-installable/importable; no packaged distribution or hosted service documented yet.	completeness reliability level confidence basis satisfied_expectations broken_expectations out_of_scope_expectations C1 low scope_vs_intent_and_consumer_expectations asset registry implementation documented explicit reuse-boundary docs vs markitect-tool level confidence basis known_reliability_risks R0 low consumer_quality_signals large surface area (persistent/contextual/governed/retrievable/transformable/agent-operable) with implementation maturity not independently verified this sweep	intent includes excludes assumptions use_cases research_memos Turn heterogeneous information assets into persistent, contextual, governed, retrievable, transformable, agent-operable knowledge as a headless runtime. asset registry and knowledge-operations runtime architecture documented in docs/architecture-blueprint.md and docs/architecture-core-implementation.md markdown syntax-layer tooling (owned by markitect-tool, see docs/markitect-tool-reuse-boundary.md)	current_level target_level current_artifacts target_artifacts consumption_modes A1 A3 Python package (`kontextual-engine`) library import	depends_on supports related_to	documentation tests consumer_feedback bug_reports incidents INTENT.md wiki/ProductRequirementsDocument.md docs/architecture-blueprint.md tests/	recommended_for not_recommended_for known_limitations consumers needing a headless knowledge-operations runtime distinct from markdown-syntax tooling needs for markdown-syntax transformation itself (see markitect-tool) large documented scope; implementation maturity not independently re-verified this sweep

Kontextual Engine (Knowledge Operations Runtime)

Overview

kontextual-engine is a headless knowledge-operations engine that turns heterogeneous information assets into persistent, contextual, governed, retrievable, transformable, and agent-operable knowledge, with an explicit boundary against the markdown-syntax layer owned by markitect-tool.

Assessment notes

Discovery

INTENT.md, wiki/ProductRequirementsDocument.md, wiki/FunctionalRequirementsSpecification.md, a scope-research bundle, and multiple architecture/implementation docs (architecture-blueprint, architecture-core-implementation, asset-registry-implementation, stack-decision) document scope and boundaries in real depth, including explicit boundary docs vs markitect-tool.

Availability

Python package (kontextual-engine), pip-installable/importable; no packaged distribution or hosted service documented yet.

Completeness

First-pass honest assessment from the REUSE-WP-0017 coverage campaign (reuse-surface). No external consumer feedback exists yet; levels reflect scope-vs-intent documentation quality, not internal code quality.

Reliability

No production consumer telemetry exists yet; reliability level is intentionally conservative pending REUSE-WP-0019 reuse-telemetry evidence.

Promotion checklist

• ID follows capability.<domain>.<name> pattern
• Maturity enums match specs/CapabilityMaturityStandard.md
• external_evidence is populated separately from maturity
• Relations reference valid capability IDs (none yet)
• Index entry added in registry/indexes/capabilities.yaml