claude-flow/.claude-plugin/marketplace.json

Ruflo - Enterprise AI agent orchestration for Claude Code. Deploy 60+ specialized agents in coordinated swarms with self-learning, fault-tolerant consensus, vector memory, and MCP integration

{
  "name": "ruflo",
  "description": "RuFlo Marketplace: Claude Code native agents, swarms, workers, and MCP tools for continuous software engineering",
  "owner": {
    "name": "ruvnet",
    "url": "https://github.com/ruvnet"
  },
  "plugins": [
    {
      "name": "ruflo-core",
      "source": "./plugins/ruflo-core",
      "description": "Core Ruflo MCP tools, commands, and Claude Code orchestration patterns"
    },
    {
      "name": "ruflo-swarm",
      "source": "./plugins/ruflo-swarm",
      "description": "Agent teams, swarm coordination, Monitor streams, and worktree isolation"
    },
    {
      "name": "ruflo-loop-workers",
      "source": "./plugins/ruflo-loop-workers",
      "description": "Cache-aware /loop workers and CronCreate background automation"
    },
    {
      "name": "ruflo-security-audit",
      "source": "./plugins/ruflo-security-audit",
      "description": "Security review, dependency scanning, policy gates, and CVE monitoring"
    },
    {
      "name": "ruflo-rag-memory",
      "source": "./plugins/ruflo-rag-memory",
      "description": "RuVector memory with HNSW search, AgentDB, and semantic retrieval"
    },
    {
      "name": "ruflo-testgen",
      "source": "./plugins/ruflo-testgen",
      "description": "Test gap detection, coverage analysis, and automated test generation"
    },
    {
      "name": "ruflo-docs",
      "source": "./plugins/ruflo-docs",
      "description": "Documentation generation, drift detection, and API docs automation"
    },
    {
      "name": "ruflo-autopilot",
      "source": "./plugins/ruflo-autopilot",
      "description": "Autonomous /loop-driven task completion with learning, prediction, and progress tracking"
    },
    {
      "name": "ruflo-intelligence",
      "source": "./plugins/ruflo-intelligence",
      "description": "Self-learning neural intelligence with SONA patterns, trajectory learning, and model routing"
    },
    {
      "name": "ruflo-agentdb",
      "source": "./plugins/ruflo-agentdb",
      "description": "AgentDB memory controllers with HNSW vector search, RuVector embeddings, and causal graphs"
    },
    {
      "name": "ruflo-aidefence",
      "source": "./plugins/ruflo-aidefence",
      "description": "AI safety scanning, PII detection, prompt injection defense, and adaptive threat learning"
    },
    {
      "name": "ruflo-browser",
      "source": "./plugins/ruflo-browser",
      "description": "Agentic browser automation with Playwright for testing, scraping, and UI interaction"
    },
    {
      "name": "ruflo-jujutsu",
      "source": "./plugins/ruflo-jujutsu",
      "description": "Advanced git workflows with diff analysis, risk scoring, and reviewer recommendations"
    },
    {
      "name": "ruflo-agent",
      "source": "./plugins/ruflo-agent",
      "description": "Agent runtimes — local WASM-sandboxed agents (rvagent) + Anthropic Claude Managed Agents (cloud); one interface, local-vs-cloud backends"
    },
    {
      "name": "ruflo-workflows",
      "source": "./plugins/ruflo-workflows",
      "description": "Visual workflow automation with templates, orchestration, and lifecycle management"
    },
    {
      "name": "ruflo-daa",
      "source": "./plugins/ruflo-daa",
      "description": "Dynamic Agentic Architecture with cognitive patterns, knowledge sharing, and adaptive agents"
    },
    {
      "name": "ruflo-ruvllm",
      "source": "./plugins/ruflo-ruvllm",
      "description": "RuVLLM local inference with chat formatting, MicroLoRA fine-tuning, and SONA adaptation"
    },
    {
      "name": "ruflo-rvf",
      "source": "./plugins/ruflo-rvf",
      "description": "RVF format for portable agent memory, session persistence, and cross-platform transfer"
    },
    {
      "name": "ruflo-plugin-creator",
      "source": "./plugins/ruflo-plugin-creator",
      "description": "Scaffold, validate, and publish new Claude Code plugins with proper structure"
    },
    {
      "name": "ruflo-goals",
      "source": "./plugins/ruflo-goals",
      "description": "Long-horizon goal planning, deep research orchestration, and adaptive replanning using GOAP"
    },
    {
      "name": "ruflo-adr",
      "source": "./plugins/ruflo-adr",
      "description": "ADR lifecycle management — create, index, supersede, and link Architecture Decision Records to code"
    },
    {
      "name": "ruflo-cost-tracker",
      "source": "./plugins/ruflo-cost-tracker",
      "description": "Token usage tracking, model cost attribution per agent, budget alerts, and optimization recommendations"
    },
    {
      "name": "ruflo-ddd",
      "source": "./plugins/ruflo-ddd",
      "description": "Domain-Driven Design scaffolding — bounded contexts, aggregate roots, domain events, and anti-corruption layers"
    },
    {
      "name": "ruflo-federation",
      "source": "./plugins/ruflo-federation",
      "description": "Cross-installation agent federation with zero-trust security, PII-gated data flow, and compliance-grade audit trails"
    },
    {
      "name": "ruflo-graph-intelligence",
      "source": "./plugins/ruflo-graph-intelligence",
      "description": "Real-time graph intelligence — personalized PageRank, streaming delta updates, witness-signed reasoning, and federation-distributable vectors"
    },
    {
      "name": "ruflo-iot-cognitum",
      "source": "./plugins/ruflo-iot-cognitum",
      "description": "IoT device lifecycle, telemetry anomaly detection, fleet management, and witness chain verification for Cognitum Seed hardware"
    },
    {
      "name": "ruflo-knowledge-graph",
      "source": "./plugins/ruflo-knowledge-graph",
      "description": "Knowledge graph construction — entity extraction, relation mapping, and pathfinder graph traversal"
    },
    {
      "name": "ruflo-market-data",
      "source": "./plugins/ruflo-market-data",
      "description": "Market data ingestion — feed normalization, OHLCV vectorization, and HNSW-indexed pattern matching"
    },
    {
      "name": "ruflo-migrations",
      "source": "./plugins/ruflo-migrations",
      "description": "Schema migration management — generate, validate, dry-run, and rollback database migrations"
    },
    {
      "name": "ruflo-neural-trader",
      "source": "./plugins/ruflo-neural-trader",
      "description": "Neural trading strategies — self-learning LSTM/Transformer/N-BEATS models with Rust/NAPI backtesting"
    },
    {
      "name": "ruflo-observability",
      "source": "./plugins/ruflo-observability",
      "description": "Structured logging, distributed tracing, and metrics — correlate agent swarm activity with application telemetry"
    },
    {
      "name": "ruflo-ruvector",
      "source": "./plugins/ruflo-ruvector",
      "description": "Self-learning vector database — HNSW, FlashAttention-3, Graph RAG, hybrid search, DiskANN, and Brain AGI"
    },
    {
      "name": "ruflo-sparc",
      "source": "./plugins/ruflo-sparc",
      "description": "SPARC methodology — Specification, Pseudocode, Architecture, Refinement, Completion phases with quality gates"
    }
  ]
}