Neo4j

Data & Analytics

Neotask on OpenClaw makes graph database operations conversational through Neo4j — exploring schemas, reading relationships, and writing Cypher queries to unlock connected data insights.

• Connected data becomes queryable in plain language — your agent translates business questions about relationships and networks into Cypher queries without requiring graph database expertise
• Knowledge graphs support agent intelligence — your agent reads from Neo4j to understand entity relationships and writes new connections as your business data evolves
• Graph analytics inform better decisions — supply chain dependencies, fraud networks, and organizational relationships all become visible through your agent's Neo4j queries

What You Can Do

The Neo4j integration gives Neotask 4 graph database actions.

`get-schema` — retrieve the full graph schema including node labels, relationship types, and property keys

`read-cypher` — execute read-only Cypher queries to traverse and retrieve graph data

`write-cypher` — execute write Cypher queries to create, update, and delete nodes and relationships

`list-gds-procedures` — enumerate available Graph Data Science library procedures when the GDS plugin is installed

Every action runs autonomously or requires your approval — you decide.

Try Asking

"Show me the schema of our knowledge graph — what node types and relationships exist?"

"Find all customers who are connected to more than 3 enterprise accounts in our graph"

"Create a relationship between product node P-123 and supplier node S-456 in the supply chain graph"

"What are the shortest paths between our top sales rep and the CTO of our target account?"

Pro Tips

Always start with `get-schema` when working with an unfamiliar graph database — your agent maps the structure before writing queries

Use approval gates on `write-cypher` operations that modify production graph data — relationship changes in knowledge graphs can have downstream effects

Pair Neo4j with your CRM integration to enrich your graph: new sales relationships get written to Neo4j automatically as they develop

Graph Data Science procedures unlock advanced analytics: pagerank for influence scoring, community detection for account segmentation, and shortest path for org chart analysis

Works Well With

• linear - Connect Linear and Neo4j with Neotask. Run Cypher queries from issue context, map dependencies as graph relationships, a...
• zoom - Connect Neo4j and Zoom with Neotask to automate graph data workflows, enrich meeting insights, and surface relationship ...