rUv

Ruflo (formerly Claude Flow) is multi-agent orchestration for Claude Code, coordinating 100+ specialized agents across machines, teams, and trust boundaries with swarms, self-learning memory, federated comms, and enterprise security.

RuView transforms commodity WiFi signals into real-time human pose estimation, vital sign monitoring, and presence detection without cameras or wearables. It uses Channel State Information (CSI) from WiFi to detect breathing, heart rate, and body position through walls using edge AI on inexpensive ESP32 hardware.

rUv's high-performance, real-time, self-learning vector graph memory database written in Rust — designed for agentic AI memory at scale.

rUv's tool for easily switching between alternative low-cost AI models in Claude Code and the Agent SDK — keep your prompts, swap the brain.

Structured prompting methodology for AI-assisted development: specification, pseudocode, architecture, refinement, completion.

Hyper-efficient prompt language designed to optimize LLM interactions — uses logographic scripts and symbolic constructs to compress prompts ~10x.

Quantum-resistant DAG-based anonymous communication protocol, built end-to-end with Claude Code via a TDD implementation plan.

rUv's virtual machine built for the agentic age, in Rust — a secure, deterministic runtime for executing AI-generated code with isolation.

rUv's nightly decompile and reverse-engineered rebuild of the Claude Code CLI — open-source attempt to recreate the proprietary tool.

Blazing-fast, memory-safe neural-network library for Rust — brings the classic Fast Artificial Neural Network library into the modern world.

Declarative self-learning JavaScript — TypeScript port of DSPy for programmatically optimizing LLM pipelines via examples instead of prompt tweaking.

rUv's framework for building self-managing applications — decentralized agents that coordinate without a central planner.

rUv's Fast Augmented Context Tools — lean retrieval pattern that skips vector search by caching static tokens in Claude Sonnet 4 and fetching live facts on demand.

Self-Aware Feedback Loop Algorithm — Python framework for building self-improving AI agents with reflective memory.

Platform that makes AI conversations smarter and more responsive — interprets what an AI is saying mid-stream instead of waiting for the full response.

First decompiler that understands code semantically — recovers original names with AI, proves every transformation with cryptographic witness chains.

Vector memory that gets smarter every time your agent uses it — feedback-aware retrieval that learns which results actually helped.

An agentic marketing swarm framework for AI-driven campaigns and content workflows.

rUv's tool for symbolic note-taking — captures structured knowledge with named relations between concepts for graph-based recall.

Rust + WASM solver for asymmetric diagonally dominant systems — Neumann series, push, and hybrid random-walk algorithms with npm CLI and HTTP API.

rUv's framework for AI agents focused on security — automated reconnaissance, vulnerability triage, and exploit explanation.

Competitive agentic platform built entirely on MCP — deploy autonomous AI swarms, train networks, compete in coding challenges, earn rUv tokens.

Steganography framework for embedding and extracting agentic commands in audio and video media using ultrasonic frequencies — covert agent-to-agent comms.

AI-powered game engine for dynamic, personalized experiences in evolving worlds — ethical, accessible, inclusive design from the ground up.

ANS Protocol from the OWASP GenAI Security Project — secure discovery and interaction framework for AI agents across organizations.

Command-line tool for configurable web automation with AI-assisted template creation — drive any site from a YAML config.

Agentic engineering toolkit for AI-powered data analysis workflows.

rUv's voice-driven AI bot — real-time speech-to-speech agent for hands-free interaction with LLMs.

Dynamic MCP registry using Cookiecutter templates — spin up custom MCP servers from parameterized scaffolds on demand.

rUv's multi-agent code orchestration system — agents collaborate over a shared mesh of code understanding, edits, and tests.

rUv's MCP federation implementation following the official spec — proper message framing, transport, and full protocol lifecycle for distributed agent registries.

rUv's reflective engineering agent — pauses to reason about its own reasoning before each move, then commits to actions with explicit justification.

rUv's JavaScript port of Drupal patterns — node-based content modeling and rendering in the Node.js ecosystem.