ruvnet/ruv-FANN

A blazing-fast, memory-safe neural network library for Rust that brings the power of FANN to the modern world.

This repository also configures its own agents. See what ruv-FANN tells them →

380Stars on the repository
163Mods indexed here, across every type
1mo agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

V3 MCP Optimization

25

ruvnet/ruv-FANN

Skill Claude Code

MCP server optimization and transport layer enhancement for claude-flow v3. Implements connection pooling, load balancing, tool registry optimization, and performance monitoring for sub-100ms response times.

not rated 380 +2 1mo ago A 42 tokens copy · 100% MIT

ruvnet/ruv-FANN

Skill Claude Code

Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend).

not rated 380 +2 1mo ago A 51 tokens copy · 100% MIT

ruvnet/ruv-FANN

Skill Claude Code

Achieve aggressive v3 performance targets: 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, 50-75% memory reduction. Comprehensive benchmarking and optimization suite.

not rated 380 +2 1mo ago A 53 tokens copy · 100% MIT

ruvnet/ruv-FANN

Skill Claude Code

Complete security architecture overhaul for claude-flow v3. Addresses critical CVEs (CVE-1, CVE-2, CVE-3) and implements secure-by-default patterns. Use for security-first v3 implementation.

not rated 380 +2 1mo ago A 52 tokens copy · 100% MIT

ruvnet/ruv-FANN

Skill Claude Code

15-agent hierarchical mesh coordination for v3 implementation. Orchestrates parallel execution across security, core, and integration domains following 10 ADRs with 14-week timeline.

not rated 380 +2 1mo ago A 40 tokens copy · 100% MIT

ruvnet/ruv-FANN

Skill Claude Code

Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.

not rated 380 +2 1mo ago A 36 tokens copy · 100% MIT

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