Ruflo — Multi-Agent AI Orchestration Platform
Deploy intelligent AI swarms, coordinate autonomous workflows, share memory across agents, and build enterprise-grade AI systems with Ruflo.
The Multi-Agent AI Framework Built for Scale
Single-agent workflows hit walls quickly. Ruflo provides the orchestration layer needed to coordinate specialized AI agents in production.
Multi-Agent Swarms
Coordinate dozens or hundreds of specialized AI agents on a single task.
Shared Memory Engine
Persistent, versioned context every agent can read and write.
Federated Communication
Secure agent-to-agent messaging across machines and clusters.
MCP Integration
Native Model Context Protocol support across Claude, Cursor, Codex.
Autonomous Task Routing
Route work to the best agent based on role, load and skill.
Distributed Intelligence
Scale workflows across teams, machines and edge nodes.
Enterprise Security
Trust boundaries, signed messages, RBAC and audit logs.
Workflow Automation
Build autonomous pipelines with retries, branching and consensus.
Self-Learning Loops
Memory + feedback continuously improves agent behavior.
How Multi-Agent Orchestration Works
A complete runtime for agent discovery, task routing, memory synchronization, and consensus.
Agent Mesh Network
Agents register capabilities, roles, and load metrics. The orchestrator routes tasks to the best-suited agent dynamically.
Vector + KV Memory
Shared memory layers provide long-term knowledge, session context, and agent-to-agent blackboard coordination.
Universal Tool Bus
Connect to Claude Code, Cursor, terminal tools, APIs, and custom MCP servers seamlessly with unified security policies.
Explore Multi-Agent Engineering Guides
In-depth architectural guides, real-world case studies, and tutorials for production AI orchestration.
What is Ruflo? A Complete Introduction to Multi-Agent AI Orchestration
Ruflo is an open-source multi-agent AI orchestration platform that coordinates swarms of specialized agents through shared memory, federated communication, and MCP integration.
How Multi-Agent AI Works: Architecture, Coordination and Memory
A deep dive into how [multi-agent AI systems](/blog/what-is-ruflo) coordinate specialized agents through shared memory, message passing, and consensus to solve complex tasks.
Ruflo vs Single AI Agents: Why Coordination Wins
Single-agent AI hits context, cost and reliability ceilings. Ruflo's multi-agent orchestration unlocks scale, lower token cost and better autonomous outcomes.
Ruflo for Claude Code: Supercharge Your AI Coding Workflow
How Ruflo extends [Claude Code](/blog/ruflo-for-claude-code) with multi-agent swarms, persistent memory, MCP tools and autonomous task delegation.
What is AI Swarm Intelligence?
AI swarm intelligence is the coordination of many specialized agents into collective problem-solvers. Learn topologies, consensus, and real-world applications.
AI Agent Orchestration Explained
Agent orchestration is the discipline of routing tasks, managing memory and coordinating tools across multiple AI agents. Here is how it works.