iiRecord
Agentic AI Atlas · Context Engineering (meta)
meta-cluster:context-engineeringa5c.ai
II.
MetaCluster JSON

meta-cluster:context-engineering

Structured · live

Context Engineering (meta) json

Inspect the normalized record payload exactly as the atlas UI reads it.

File · catalog-meta/meta-registry/meta-registry-context-engineering.yamlCluster · catalog-meta
Record JSON
{
  "id": "meta-cluster:context-engineering",
  "_kind": "MetaCluster",
  "_file": "catalog-meta/meta-registry/meta-registry-context-engineering.yaml",
  "_cluster": "catalog-meta",
  "attributes": {
    "displayName": "Context Engineering (meta)",
    "clusterNumber": 19,
    "scope": "Conceptual aggregation of NodeKinds describing the context-engineering surface: VectorStore (retrieval index), EmbeddingModelProfile (binding of an embedding ModelVersion to a usage configuration), MemoryStore (persistent agent memory: vector / document / knowledge-graph / prompt-cache / conversation-buffer / summarized-history), PromptTemplate (versioned system / user / few-shot scaffold; collapses FewShotExampleSet) and ContextBundle (packaged template + retrieval + memory bindings). Members live in editorial cluster context-engineering in ontology-schema.yaml.",
    "parentClusterId": null
  },
  "outgoingEdges": [
    {
      "from": "meta-cluster:context-engineering",
      "to": "meta-node-kind:vector-store",
      "kind": "contains_meta_node_kind",
      "attributes": {}
    },
    {
      "from": "meta-cluster:context-engineering",
      "to": "meta-node-kind:embedding-model-profile",
      "kind": "contains_meta_node_kind",
      "attributes": {}
    },
    {
      "from": "meta-cluster:context-engineering",
      "to": "meta-node-kind:memory-store",
      "kind": "contains_meta_node_kind",
      "attributes": {}
    },
    {
      "from": "meta-cluster:context-engineering",
      "to": "meta-node-kind:prompt-template",
      "kind": "contains_meta_node_kind",
      "attributes": {}
    },
    {
      "from": "meta-cluster:context-engineering",
      "to": "meta-node-kind:context-bundle",
      "kind": "contains_meta_node_kind",
      "attributes": {}
    }
  ],
  "incomingEdges": [
    {
      "from": "meta-node-kind:vector-store",
      "to": "meta-cluster:context-engineering",
      "kind": "in_cluster",
      "attributes": {}
    },
    {
      "from": "meta-node-kind:embedding-model-profile",
      "to": "meta-cluster:context-engineering",
      "kind": "in_cluster",
      "attributes": {}
    },
    {
      "from": "meta-node-kind:memory-store",
      "to": "meta-cluster:context-engineering",
      "kind": "in_cluster",
      "attributes": {}
    },
    {
      "from": "meta-node-kind:prompt-template",
      "to": "meta-cluster:context-engineering",
      "kind": "in_cluster",
      "attributes": {}
    },
    {
      "from": "meta-node-kind:context-bundle",
      "to": "meta-cluster:context-engineering",
      "kind": "in_cluster",
      "attributes": {}
    }
  ]
}