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Knowledge Graph

Memorose uses graph relationships to connect memory units, tasks, and higher-level insights.

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Two Ways The Graph Grows

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Automatic Linking

Background processing can create graph structure from similarity, consolidation, and community analysis.

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Manual Linking

You can explicitly add edges through the API: 
curl -s -X POST "http://127.0.0.1:3000/v1/users/user_123/graph/edges" \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "source_id": "11111111-1111-1111-1111-111111111111",
    "target_id": "22222222-2222-2222-2222-222222222222",
    "relation": "RelatedTo",
    "weight": 0.75
  }'
Supported relation values come from the core relation model, including:
  • Next
  • RelatedTo
  • Contradicts
  • Supports
  • Abstracts
  • DerivedFrom
  • CausedBy
  • EvolvedTo
  • IsSubTaskOf
  • Blocks
  • Accomplishes

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Retrieval Integration

Retrieval accepts graph_depth, so graph structure can influence the final result set instead of living in a disconnected subsystem.