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

# 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

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