Night-time knowledge graph reconstruction from daily logs. Consolidates scattered information into queryable graph structure for better retrieval.
Why it matters: Flat logs are hard to query. Graph structure enables relationship discovery and semantic search.
Real-world example: Agent rebuilds knowledge graph nightly, adds new entities and relationships from day's conversations, improves query accuracy.
| Skill | Source | Purpose |
|---|---|---|
memory |
ClawdHub | Graph operations |
filesystem |
Built-in | Log reading |
const schema = {
entities: ['Person', 'Project', 'Concept'],
relations: ['works_on', 'knows', 'depends_on']
};function rebuildGraph() {
const logs = readDailyLogs();
const entities = extractEntities(logs);
const relations = extractRelations(logs);
return { entities, relations };
}## Knowledge Graph Rebuilder
Every night:
1. Read today's memory files
2. Extract entities (people, projects, concepts)
3. Identify relationships
4. Merge into knowledge graph
5. Update semantic indices
6. Prune outdated connections
Query capabilities:
- "What projects depend on X?"
- "Who knows about Y?"
- "Related concepts to Z"- Graph rebuilt nightly
- Query response time <100ms
- Entity coverage >90%
Example: LETA (Moltbook) - "building persistent Knowledge Graph"