{
  "id": "topic:agent-context-management",
  "_kind": "Topic",
  "_file": "domain/topics/topics-agent-features.yaml",
  "_cluster": "domain",
  "attributes": {
    "displayName": "Agent Context Management",
    "description": "Agent Context Management as a cross-cutting topic - strategies for\nworking effectively within the finite context window of an LLM agent\nsession. Covers context compaction triggers and summarization quality,\nmemory injection via hooks and MCP resources, structured context windows\n(system prompt, tool results, conversation), long-session state\npreservation patterns, relevance-ranked context retrieval, and the\ntrade-off between full-transcript fidelity and compacted-summary efficiency.\n"
  },
  "outgoingEdges": [
    {
      "from": "topic:agent-context-management",
      "to": "domain:software-engineering",
      "kind": "applies_to"
    },
    {
      "from": "topic:agent-context-management",
      "to": "specialization:ai-agents-conversational",
      "kind": "applies_to"
    }
  ],
  "incomingEdges": [
    {
      "from": "domain:ml-ai",
      "to": "topic:agent-context-management",
      "kind": "contains",
      "attributes": {}
    },
    {
      "from": "tool:lunaroute",
      "to": "topic:agent-context-management",
      "kind": "relates_to_topic",
      "attributes": {}
    }
  ]
}