/cognee-store, Push Knowledge to the Graph

Stores structured knowledge into Cognee's knowledge graph. Functions as the write path for Coco's memory layer, maps entities, decisions, events, and relationships to graph nodes and edges with embeddings for later semantic retrieval.

Quick Reference

COGNEE="${COGNEE_BASE_URL:-http://localhost:8000}"
DATASET="my-project"

# Store a text fact (auto-cognifies)
curl -s -X POST "$COGNEE/api/v1/remember" \
  -F "datasetName=$DATASET" \
  -F 'data={"entity": {"type": "decision", "text": "Use JWT for API auth", "date": "2026-06-30", "decided_by": "dana", "context": "Stateless, works with existing infra"}}' \
  -F "run_in_background=false" | jq .

# Store file-based knowledge
curl -s -X POST "$COGNEE/api/v1/remember" \
  -F "datasetName=$DATASET" \
  -F "data=@/path/to/decision-log.md" \
  -F "run_in_background=false" | jq .

# Cognify existing data (process + build graph)
curl -s -X POST "$COGNEE/api/v1/cognify" \
  -H "Content-Type: application/json" \
  -d '{"datasets": ["my-project"]}' | jq .

Data Format

All knowledge is stored as text, structured for Cognee's graph extraction. Use these formats:

Entities

ENTITY: {name} | TYPE: {person|team|system|module|org_unit|document}
DESCRIPTION: {one-line description}
METADATA: {key: value, ...}

Decisions

DECISION: {text} | DATE: {YYYY-MM-DD}
DECIDED_BY: {name}
CONTEXT: {why this was decided, alternatives considered}
IMPACT: {what changes as a result}

Events

EVENT: {title} | DATE: {YYYY-MM-DD} | TYPE: {meeting|call|email|milestone|deploy}
SUMMARY: {what happened}
PARTICIPANTS: {comma-separated names}
OUTCOMES: {decisions made, action items}

Relationships

RELATIONSHIP: {entity_a} -> {entity_b} | TYPE: {member_of|owns|depends_on|reports_to|blocks|administers|scoped_to}
CONTEXT: {why this relationship exists}