ruvnetCommunity·23 Agent Skills Included

ruvector

Persistent vector memory and swarm orchestration for AI agents

Gives AI agents persistent memory that survives across sessions using local vector search, graph relationships, and feedback learning. Eliminates lost context, repeated mistakes, and expensive per-query API embedding calls with local semantic search. Includes swarm coordination, code review, testing, and GitHub automation skills to run multi-agent development workflows faster.

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npx skills add ruvnet/ruvector --all -g -y

Available:

Instructs the AI agent on behavioral rules, file organization, swarm orchestration, model routing, and memory commands to follow when working in this repository.

All Skills in This Repository (23)

Pure Emerald Level Indicators

📦 In Repo

ruvnet

plan-change

Generates a minimal file-level implementation plan from a feature request before coding.

evolve

Evolves harness configurations through sandboxed mutation and measured selection with a frozen model.

V3 MCP Optimization

Optimize CLAUDE-flow v3 MCP server performance with connection pooling and load balancing.

V3 CLI Modernization

Modernize CLAUDE-flow v3 CLIs with modular commands and interactive prompts.

V3 Deep Integration

Migrate claude-flow into agentic-flow@alpha as a specialized extension.

V3 Core Implementation

Generate a claude-flow v3 core scaffold with domain-driven design and dependency injection.

V3 Security Overhaul

Overhaul claude-flow v3 security architecture to remediate CVEs.

flow-nexus-neural

Train and deploy neural networks in distributed Flow Nexus E2B sandboxes.

V3 DDD Architecture

Decompose claude-flow v3 orchestrator into modular bounded contexts.

Swarm Orchestration

Orchestrate multi-agent swarms with mesh, hierarchical, or adaptive topologies.

V3 Memory Unification

Consolidate memory backends into an AgentDB platform with HNSW indexing.

github-code-review

Coordinate multi-agent code reviews for GitHub pull requests.

Community

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Frequently Asked Questions

FAQPage Schema

How to install RuVector?▼

Run `npx skills add ruvnet/ruvector --all -g -y` in your terminal to install all skills in this suite globally.

What does RuVector do for AI agents?▼

It gives agents persistent memory across sessions using local vector embeddings, graph relationships, and feedback-based learning, so they remember decisions and past outcomes.

Does RuVector need a database server or API key?▼

No. The default retrieval path runs fully locally with a cached embedding model, and no external database server or API key is required.

Can RuVector coordinate multiple AI agents?▼

Yes. It includes swarm orchestration skills for spawning specialized agents, running parallel tasks, and sharing collective memory across the swarm.

Does RuVector work with Claude Code?▼

Yes. All skills follow the standard SKILL.md format and integrate with Claude Code through hooks, MCP tools, and CLI commands.