9.8 KiB
name, description
| name | description |
|---|---|
| vector | RuVector operations via npx ruvector@0.2.25 — embedding, search, RVF cognitive containers, GNN, attention, hooks, brain, sona, edge, identity |
$ARGUMENTS
Vector operations via the ruvector npm package (pinned to 0.2.25). Parse subcommand from $ARGUMENTS.
Pinned version: ruvector@0.2.25 — every command below uses npx -y ruvector@0.2.25 ....
Usage: /vector [options]
Embedding
- embed
<text>—npx -y ruvector@0.2.25 embed text "TEXT"384-dim ONNX vector. IfONNX WASM files not bundled, run/vector setup. - embed-adaptive
<text>—npx -y ruvector@0.2.25 embed text "TEXT" --adaptive --domain codeLoRA-adapted embedding tuned to a domain. - embed-file
<path>— Read file, thennpx -y ruvector@0.2.25 embed text "$(cat <path>)" -o <path>.vec.json - embed-benchmark —
npx -y ruvector@0.2.25 embed benchmark(compares base vs adaptive).
Database lifecycle
- db create
<path>—npx -y ruvector@0.2.25 create <path> -d 384 -m cosine - db stats
<path>—npx -y ruvector@0.2.25 stats <path> - insert
<database><json-file>—npx -y ruvector@0.2.25 insert <database> <json-file> - search
<database><vector-json>[-k N] —npx -y ruvector@0.2.25 search <database> -v '[0.1,...]' -k N - export
<database>[-o file] [-f json|binary|parquet] [--compress] —npx -y ruvector@0.2.25 export <database> -o backup.json - import
<file>[-d database] —npx -y ruvector@0.2.25 import <file> -d <database> [--merge|--replace]
RVF (cognitive containers)
- rvf create
<path>—npx -y ruvector@0.2.25 rvf create <path> - rvf ingest
<path>—npx -y ruvector@0.2.25 rvf ingest <path> - rvf query
<path>—npx -y ruvector@0.2.25 rvf query <path>(nearest neighbors) - rvf status
<path>—npx -y ruvector@0.2.25 rvf status <path> - rvf segments
<path>—npx -y ruvector@0.2.25 rvf segments <path> - rvf derive
<parent><child>—npx -y ruvector@0.2.25 rvf derive <parent> <child>(lineage tracking) - rvf compact
<path>—npx -y ruvector@0.2.25 rvf compact <path>(reclaim deleted space) - rvf examples —
npx -y ruvector@0.2.25 rvf examples(45 reference stores) - rvf download
<name>—npx -y ruvector@0.2.25 rvf download <name>(e.g.agent_memory,swarm_knowledge)
GNN (Graph Neural Networks)
- gnn info —
npx -y ruvector@0.2.25 gnn info - gnn layer —
npx -y ruvector@0.2.25 gnn layer(build/test a multi-head attention GNN layer) - gnn search —
npx -y ruvector@0.2.25 gnn search(differentiable soft-attention search) - gnn compress —
npx -y ruvector@0.2.25 gnn compress(5-level adaptive tensor compression)
Attention mechanisms
- attention list —
npx -y ruvector@0.2.25 attention listLists ALL available mechanisms: DotProduct, MultiHead, Flash, Hyperbolic, Linear, MoE, GraphRoPe, EdgeFeatured, DualSpace, LocalGlobal. - attention compute —
npx -y ruvector@0.2.25 attention compute - attention benchmark —
npx -y ruvector@0.2.25 attention benchmark - attention hyperbolic —
npx -y ruvector@0.2.25 attention hyperbolic(Poincare-ball geometry ops; the real hyperbolic surface in 0.2.25) - attention info —
npx -y ruvector@0.2.25 attention info
Code intelligence (hooks)
- hooks init —
npx -y ruvector@0.2.25 hooks init --pretrain --build-agents quality - hooks stats —
npx -y ruvector@0.2.25 hooks stats(Q-learning patterns, vector memories, trajectories) - hooks route
<task>—npx -y ruvector@0.2.25 hooks route "DESCRIPTION"(positional) - hooks route-enhanced
<task>—npx -y ruvector@0.2.25 hooks route-enhanced "DESCRIPTION" - hooks suggest-context —
npx -y ruvector@0.2.25 hooks suggest-context - hooks ast-analyze
<file>—npx -y ruvector@0.2.25 hooks ast-analyze <file>(positional) - hooks ast-complexity
<files...>—npx -y ruvector@0.2.25 hooks ast-complexity <files...> - hooks diff-analyze [commit] —
npx -y ruvector@0.2.25 hooks diff-analyze HEAD - hooks diff-classify [commit] —
npx -y ruvector@0.2.25 hooks diff-classify HEAD - hooks diff-similar —
npx -y ruvector@0.2.25 hooks diff-similar - hooks coverage-route
<file>—npx -y ruvector@0.2.25 hooks coverage-route <file> - hooks coverage-suggest
<files...>—npx -y ruvector@0.2.25 hooks coverage-suggest <files...> - hooks graph-cluster
<files...>—npx -y ruvector@0.2.25 hooks graph-cluster <files...>(spectral/Louvain) - hooks rag-context
<query>—npx -y ruvector@0.2.25 hooks rag-context "QUERY" - hooks security-scan
<files...>—npx -y ruvector@0.2.25 hooks security-scan <files...>(runhooks initfirst) - hooks remember
<content>—npx -y ruvector@0.2.25 hooks remember "CONTENT" - hooks recall
<query>—npx -y ruvector@0.2.25 hooks recall "QUERY" - hooks coedit-record / coedit-suggest — record + retrieve files edited together.
- hooks error-record / error-suggest — learn error→fix pairs and retrieve.
- hooks trajectory-begin / trajectory-step / trajectory-end — record an execution trajectory.
- hooks pre-edit / post-edit / pre-command / post-command / session-start / session-end — Claude Code hook lifecycle.
Known bugs in 0.2.25 hooks:
force-learnraisesintel.tick is not a function;graph-mincutraisesCannot read properties of undefined;git-churnfails outside a git repo. Avoid these or run inside a git repo with seeded intelligence state.
Native + workers (background analysis)
- native list —
npx -y ruvector@0.2.25 native list(worker types: security, analysis, learning) - native run
<type>—npx -y ruvector@0.2.25 native run security(or analysis|learning) - native benchmark —
npx -y ruvector@0.2.25 native benchmark - native compare —
npx -y ruvector@0.2.25 native compare - workers triggers / presets / phases / dispatch / status / stats / cleanup / cancel / run / create / init-config — all available via
npx -y ruvector@0.2.25 workers <subcmd>. First invocation auto-installsagentic-flow(slow).
Collective knowledge (brain) — needs @ruvector/pi-brain
- brain status —
npx -y ruvector@0.2.25 brain status - brain search
<query>—npx -y ruvector@0.2.25 brain search "QUERY" - brain share
<title>—npx -y ruvector@0.2.25 brain share "TITLE" - brain list / get / vote / delete / drift / partition / transfer / sync / page — full Brainpedia + LoRA-weight management.
SONA (Self-Optimizing Neural Architecture) — needs @ruvector/ruvllm
- sona status / info / stats —
npx -y ruvector@0.2.25 sona status - sona patterns
<query>—npx -y ruvector@0.2.25 sona patterns "QUERY" - sona train
<data>—npx -y ruvector@0.2.25 sona train <data>(record a training trajectory) - sona export —
npx -y ruvector@0.2.25 sona export(export learned weights)
LLM orchestration — needs @ruvector/ruvllm
- llm models —
npx -y ruvector@0.2.25 llm models - llm embed
<text>—npx -y ruvector@0.2.25 llm embed "TEXT"(RuvLLM-backed embeddings) - llm benchmark —
npx -y ruvector@0.2.25 llm benchmark - llm info —
npx -y ruvector@0.2.25 llm info
Identity (pi key for brain/edge/MCP)
- identity generate —
npx -y ruvector@0.2.25 identity generate(creates a 64-hex-char pi key) - identity show —
npx -y ruvector@0.2.25 identity show - identity export
-o file—npx -y ruvector@0.2.25 identity export -o key.enc(encrypted backup) - identity import
<file>—npx -y ruvector@0.2.25 identity import <file>
Edge compute network
- edge status —
npx -y ruvector@0.2.25 edge status - edge balance [nodeId] —
npx -y ruvector@0.2.25 edge balance(rUv balance) - edge tasks —
npx -y ruvector@0.2.25 edge tasks - edge join —
npx -y ruvector@0.2.25 edge join(join the network as a node) - edge dashboard —
npx -y ruvector@0.2.25 edge dashboard(opens in browser)
Server / Decompile / Demo
- server [-p 8080] [-g 50051] [-d data-dir] —
npx -y ruvector@0.2.25 server -p 8080 - decompile
<target>[-o dir] [-f modules|single|json] —npx -y ruvector@0.2.25 decompile <npm-pkg-or-file-or-url> - demo --basic | --gnn | --graph —
npx -y ruvector@0.2.25 demo --basic(interactive tutorial)
System
- doctor —
npx -y ruvector@0.2.25 doctor(Node, npm, bindings, Rust) - info —
npx -y ruvector@0.2.25 info - benchmark —
npx -y ruvector@0.2.25 benchmark(known issue: fails withMissing field 'dimensions'on some installs; usegnn searchorattention benchmarkas alternatives) - install [pkg|--all] —
npx -y ruvector@0.2.25 install --all(lists/installs optional add-ons) - setup —
npx -y ruvector@0.2.25 setup(Setup Guide)
Setup helper
For first-run users hitting ONNX WASM files not bundled, Brain commands require @ruvector/pi-brain, or SONA not available, invoke the vector-setup skill: /vector-setup.
MCP server (91 tools)
- Register once:
claude mcp add ruvector -- npx -y ruvector@0.2.25 mcp start - Verify:
claude mcp list | grep ruvector - Then call MCP tools directly (e.g.
hooks_route,hooks_ast_analyze,hooks_rag_context,brain_search,attention_list).
Not in 0.2.25 (do not invoke)
compare, top-level index, midstream, embed --file, embed --batch --glob, cluster --namespace --k (top-level cluster is "Coming Soon"), embed --model poincare, optimize (per its own message: "not yet shipped in this release"), brain agi * (use brain status directly).