AgentIndex icon
AgentIndex
open-multi-agent logo
open-multi-agent
★ 7.0k
vs
ruflo logo
ruflo
★ 78.4k

open-multi-agent vs ruflo

open-multi-agent: OMA (Open Multi-Agent) is a self-hosted TypeScript runtime for single agents, task pipelines and goal-planned teams. Consequential actions pause for durable approvals bound to a hash of what the reviewer saw, and every run leaves a record that can be verified offline.; ruflo: Ruflo v3 is an enterprise AI orchestration platform for Claude-based multi-agent swarms, closely related to Claude Flow. It features an inter-agent consensus algorithm, vector database integration for persistent memory, self-learning workflows, and native Claude Code SDK integration. Designed for deploying autonomous agent pipelines at scale with shared state management.

01

TL;DR

open-multi-agent logo
open-multi-agentMulti-Agent · ★ 7.0k

Run agents that must get human sign-off before writing files or running shell

Read open-multi-agent full review →
ruflo logo
rufloMulti-Agent · ★ 78.4k
When to choose:
  • You are a heavy Claude Code or Codex user and want several agents coordinated on one task, with memory across sessions.
  • You want a console that tracks cost and tokens and lets you replay and compare runs.
  • You want control levels (read, write, manage, full) with ask or auto approval.
When to skip:
  • You want a light setup: the full CLI install adds many files and hooks to your workspace.
  • You cannot read mods before installing: they run with your permissions and are not sandboxed.
  • Context overhead matters: hundreds of MCP tools and many commands mean a steep learning curve.
Read ruflo full review →
02

Side-by-Side Comparison

Field
open-multi-agent logoopen-multi-agent
ruflo logoruflo
Category
Multi-Agent
Multi-Agent
Stars
★ 7.0k
★ 78.4k
License
MIT
MIT
Install Command
npm install @open-multi-agent/core
npx ruflo@latest init wizard
Updated
3d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent-runtime, typescript, human-in-the-loop
AI Orchestration, Multi-Agent System, Self-Learning AI
03

Features

open-multi-agent logoopen-multi-agent
01runAgent, runTasks and runTeam execution modes
02Durable approvals that survive restarts and fail closed on tampering
03Run records verifiable offline, byte for byte
04Works with hosted, local (Ollama, vLLM) and Chinese model providers
05No telemetry and no hosted control plane
ruflo logoruflo
01Adds a large set of specialised agents, commands, skills, hooks and an MCP server around Claude Code and Codex
02Agent swarms that self-organise and coordinate in the background through hooks
03Memory across sessions with local vector retrieval and learning from past runs
04Visual console to track workflows, agents, models, tokens and cost, with replay of runs
05Federation for agents on different machines to communicate
04

Use Cases

open-multi-agent logoopen-multi-agent
↳Run agents that must get human sign-off before writing files or running shell
↳Build PR review or security analysis agents with audit trails
↳Embed a multi-agent team in an existing Node.js backend
ruflo logoruflo
↳Running parallel Claude agent swarms for large-scale document processing
↳Building autonomous workflows that require inter-agent coordination and consensus
↳Deploying production AI pipelines with persistent vector memory across sessions
05

Best For

open-multi-agent logoopen-multi-agent
EssentialTrending
ruflo logoruflo
Most Popular
FAQ

FAQ

What is the difference between open-multi-agent and ruflo?
Both open-multi-agent and ruflo are in the Multi-Agent category. open-multi-agent has 7.0k stars, while ruflo has 78.4k stars.
Which is better, open-multi-agent or ruflo?
The best choice depends on your use case. Choose open-multi-agent if Run agents that must get human sign-off before writing files or running shell, and ruflo if Running parallel Claude agent swarms for large-scale document processing.
Is open-multi-agent free or open source?
Yes, open-multi-agent is open source on GitHub (MIT).
Is ruflo free or open source?
Yes, ruflo is open source on GitHub (MIT).
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