Ensure ruvector@0.2.25 is available:

npm ls ruvector 2>/dev/null | grep '0.2.25' || npm install ruvector@0.2.25

Run clustering — in ruvector@0.2.25 the only working clustering is via hooks graph-cluster (spectral/Louvain over a code graph). The top-level cluster command is reserved for distributed cluster ops and is currently "Coming Soon" upstream.
```
npx -y ruvector@0.2.25 hooks graph-cluster <files...>
npx -y ruvector@0.2.25 hooks graph-mincut <files...>
```
Review output — JSON with cluster assignments, community labels, and edges. If you see "graph.nodes is not iterable", run hooks init first to seed the graph state.
Store results: mcp__claude-flow__memory_store({ key: "clusters-PROJECT-TIMESTAMP", value: "CLUSTER_ASSIGNMENTS", namespace: "vector-clusters" })

Interpreting results

Caveats

cluster --namespace ... --k N and cluster --density are not valid in ruvector@0.2.25 — those flags fall through to the distributed-cluster command, which only accepts --status, --join, --leave, --nodes, --leader, --info.
For namespaced k-means over arbitrary embeddings, run k-means in your own code against vectors stored in AgentDB.