ruvector-attention-wasm

Name: ruvector-attention-wasm
Rating: 3.24 (1 reviews)
Author: ruvnet

#804 · by ruvnet

llm reasoning tool-use vision 200k context

3.24/ 5.00

trustedBeta

Mar 3, 2026 at 7:21 AM6 signals analysed100 commits (90d)No manual reviews · fully automated

Trust Signal Breakdown

high3 sub-signals across 6 dimensions

CVEs, dependency health, and supply chain integrity

1 of 3 sub-signals with data

Known CVEs100%5.0

No known CVEs

via OSV.dev

Dependency Healthno data—

Weight redistributed to sub-signals with data

Supply Chainno data—

Weight redistributed to sub-signals with data

Uptime, latency, error rates, and incident history

0 of 0 sub-signals with data

Commit recency, release cadence, issue response, CI/CD

0 of 0 sub-signals with data

Downloads, stars, dependents, and growth trajectory

0 of 0 sub-signals with data

License, documentation, security policy, changelog

0 of 0 sub-signals with data

Track record, org maturity, community standing

0 of 0 sub-signals with data

About this score

Scored across 3 sub-signals in 6 dimensionsScoring engine v1 (beta) — actively being expandedPhase 1: Core sub-signal architecture (live)Phase 2: Permission scope & expanded collection (in progress)

Trust AssessmentAI Assessment

High-performance WebAssembly attention mechanisms for transformers and LLMs: Multi-Head, Flash Attention, Hyperbolic, Linear (Performer), MoE, Local-Global, and CGT Sheaf Attention with coherence gating. GPU-accelerated with SIMD fallback.

Package Availability (30d)

100.00%

p50: 134ms · p99: 181ms

Avg Latency

121ms

averaged across 30d health checks

Weekly Downloads

11.8k-10%

npm weekly

Transparency & Compliance4/6 passed

✓

Open Source CodePublic repository on GitHub