| name | knowledge-graph |
| description | ARAYA Organizational Knowledge Graph — entity-relationship governance, impact analysis, and organizational query engine. |
Organizational Knowledge Graph
Transform isolated artifacts into connected knowledge. Every agent, skill,
technology, project, requirement, and trajectory is a node. Every ownership,
dependency, preference, and influence is an edge.
Entity Types
Agent, Skill, Capability, Technology, Project, Requirement,
AcceptanceCriteria, Task, Evidence, Delivery, Trajectory, Pattern,
ADR, Standard, Rule, Domain
Relationship Types
OWNS, USES, IMPLEMENTS, VALIDATES, REVIEWS, PARTICIPATED_IN,
DEPENDS_ON, GENERATED, RECOMMENDS, LEARNED_FROM, RELATED_TO,
REQUIRES, GOVERNS, PREFERS, INFLUENCES
Commands
/araya graph — entity and relationship summary/araya graph --search "<term>" — search by entity name or type/araya graph --show "<entity>" — detailed entity view with relationships/araya graph --impact "<entity>" — impact analysis (agents, skills, projects, standards affected)/araya graph --visualize "<entity>" — generate Mermaid relationship diagram/araya ask "<question>" — organizational query engine using graph + capabilities + constitution + trajectories
Rules
- Graph is file-based and deterministic — no external databases
- Relationships are generated from existing artifacts (specs, preferences, metrics, trajectories)
- Graph recommendations never override constitutional rules
- Impact analysis is mandatory before major technology or architecture changes
