ruflo

Core Ruflo MCP tools, commands, and Claude Code orchestration patterns

Agent teams, swarm coordination, Monitor streams, and worktree isolation

Cache-aware /loop workers and CronCreate background automation

Security review, dependency scanning, policy gates, and CVE monitoring

RuVector memory with HNSW search, AgentDB, and semantic retrieval

Test gap detection, coverage analysis, and automated test generation

Documentation generation, API docs, and drift detection

Autonomous /loop-driven task completion with learning, prediction, and progress tracking

Self-learning neural intelligence with SONA patterns, trajectory learning, and intelligent model routing

AgentDB memory controllers with HNSW vector search, RuVector embeddings, and causal knowledge graphs

AI safety scanning, PII detection, prompt injection defense, and adaptive threat learning

Agentic browser automation with Playwright for testing, scraping, and UI interaction

Advanced git workflows with diff analysis, risk scoring, and reviewer recommendations

Sandboxed WASM agent creation, execution, and gallery sharing

Visual workflow automation with templates, orchestration, and lifecycle management

Dynamic Agentic Architecture with cognitive patterns, knowledge sharing, and adaptive agents

RuVLLM local inference with chat formatting, model configuration, and MicroLoRA fine-tuning

RVF format for portable agent memory, session persistence, and cross-platform transfer

Scaffold, validate, and publish new Claude Code plugins with proper structure and MCP tool wiring

Long-horizon goal planning, deep research orchestration, and adaptive replanning using GOAP algorithms

ADR lifecycle management — create, index, supersede, and link Architecture Decision Records to code

Token usage tracking, model cost attribution per agent, budget alerts, and optimization recommendations

Domain-Driven Design scaffolding — bounded contexts, aggregate roots, domain events, and anti-corruption layers

Cross-installation agent federation with zero-trust security, peer discovery, consensus-based task routing, and per-call budget circuit breaker (ADR-097)

IoT device lifecycle, telemetry anomaly detection, fleet management, and witness chain verification for Cognitum Seed hardware

Knowledge graph construction — entity extraction, relation mapping, and pathfinder graph traversal

Market data ingestion — feed normalization, OHLCV vectorization, and HNSW-indexed pattern matching

Schema migration management — generate, validate, dry-run, and rollback database migrations

Neural trading via npx neural-trader — self-learning strategies, Rust/NAPI backtesting, 112+ MCP tools, swarm coordination, and portfolio optimization

Structured logging, distributed tracing, and metrics — correlate agent swarm activity with application telemetry

Self-learning vector database via npx ruvector — HNSW, FlashAttention-3, Graph RAG, hybrid search, DiskANN, 103 MCP tools, Brain AGI

SPARC methodology — Specification, Pseudocode, Architecture, Refinement, Completion phases with gate checks