Ruflo is an advanced agent orchestration platform designed specifically for Claude Code, enabling the deployment and coordination of intelligent multi-agent swarms for conversational AI systems, autonomous workflows, and enterprise-grade applications. Its architecture leverages Rust-powered WASM kernels for policy enforcement, embeddings, and proof systems, providing robust performance and security. Ruflo transforms Claude Code by adding a nervous system that allows agents to self-organize, learn from tasks, retain memory across sessions, and communicate securely across machines and organizational boundaries.
The platform offers a rich ecosystem of plugins—32 native Claude Code plugins and 21 npm plugins—covering core orchestration, memory management, intelligence, code quality, security, architecture, DevOps, extensibility, and domain-specific tasks. Core plugins include ruflo-core (server and health checks), ruflo-swarm (multi-agent coordination), ruflo-autopilot (autonomous agent loops), ruflo-federation (secure cross-machine collaboration), and ruflo-workflows (multi-step task templates). Memory plugins like ruflo-agentdb and ruflo-rag-memory provide fast vector databases and smart retrieval mechanisms, while intelligence plugins such as ruflo-intelligence and ruflo-daa enable agents to learn from past successes and adapt their behavior dynamically.
Ruflo’s security features are comprehensive, including vulnerability scanning, prompt injection defense, PII detection, and compliance modes for HIPAA, SOC2, and GDPR. The federation capability allows agents to securely collaborate across trust boundaries using zero-trust protocols, mTLS, ed25519 identity verification, and adaptive trust scoring. Sensitive data is automatically stripped or redacted before transmission, and all interactions are auditable for compliance.
The platform supports multiple LLM providers—Claude, GPT, Gemini, Cohere, Ollama—with intelligent routing and failover, ensuring flexibility and reliability. Background workers automate tasks such as auditing, optimization, and test generation. Ruflo also includes tools for code quality (test generation, browser automation, git analysis), architecture tracking (ADR, DDD, SPARC methodology), DevOps (migrations, observability, cost tracking), and extensibility (WASM agent support, plugin scaffolding).
Ruflo features a self-hostable web UI (flo.ruv.io) for multi-model AI chat, parallel MCP tool execution, persistent vector memory, and swarm coordination. The UI supports six frontier models out-of-the-box and allows users to add custom endpoints. It includes a capabilities tour, memory recall, and parallel tool execution visualization. The goal planner UI (goal.ruv.io) enables users to describe outcomes in plain English, which Ruflo decomposes into executable agent plans using GOAP A* planning, visual plan trees, adaptive replanning, and live agent dashboards.
Installation is streamlined via CLI, npx, npm, or as a Claude Code plugin, with minimal onboarding required. Ruflo’s documentation covers architecture, configuration, CLI/API usage, plugin development, and advanced topics. Overall, Ruflo provides a powerful, flexible, and secure platform for orchestrating large-scale, intelligent agent swarms, enhancing Claude Code with collaborative, self-learning, and federated capabilities suitable for enterprise and research applications.
