Production primitives for multi-agent AI
Every feature in Ruflo is designed to make AI swarms reliable, observable and secure at enterprise scale.
Multi-Agent Swarms
Coordinate dozens or hundreds of specialized AI agents on a single objective. Supports hierarchical, mesh and adaptive topologies.
Shared Memory Engine
Versioned, queryable memory that lets agents remember context across sessions, tasks and workflows.
Federated Communication
Secure peer-to-peer messaging between agents across machines, clusters and trust domains.
MCP Integration
Native Model Context Protocol support — drop Ruflo into Claude Code, Cursor, Codex or Gemini.
Autonomous Task Routing
Smart router assigns work to the best agent based on role, load, history and capability.
Distributed Intelligence
Scale AI workflows across teams, machines and edge nodes with consistent shared state.
Enterprise Security
Signed messages, RBAC, trust boundaries, audit logs and on-prem deployment.
Workflow Automation
Compose autonomous pipelines with retries, branching, consensus and human-in-the-loop.
Agent Collaboration
Enable agents to negotiate, delegate and merge work on large multi-step tasks.
Self-Learning Architecture
Continuous improvement through memory, feedback loops and meta-agents.