# Cognee:store

Use when the user says 'cognee store', 'push to cognee', 'save to graph', 'remember...

- Repository: https://github.com/coco-research/coco (797 stars)
- Category: Engineering
- License: see repository
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add coco-research/coco --skill cognee:store -g -a claude-code -y`
Codex: `npx skills add coco-research/coco --skill cognee:store -g -a codex -y`
Cursor: `npx skills add coco-research/coco --skill cognee:store -g -a cursor -y`
Gemini CLI: `npx skills add coco-research/coco --skill cognee:store -g -a gemini-cli -y`

## Description

Use when the user says 'cognee store', 'push to cognee', 'save to graph', 'remember this' or 'log this decision', or when session decisions must be stored. Writes entities, decisions and events over POST /api/v1/remember.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# /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

```bash
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}
```

The rest: https://github.com/coco-research/coco/blob/HEAD/systems/cognee/skills/cognee-store/SKILL.md