open-duet vs ruflo
open-duet: Open Duet is an open-source workspace for named AI agents that runs on your computer or a server you control. Each agent has instructions, an engine, a workspace, memory and approval settings; a lead agent can delegate to specialists, routines run on schedules or triggers, and you review tool activity and approvals in the app. It brings no model of its own: you connect Claude Code, Codex, Gemini CLI, Cursor, any ACP agent, OpenRouter or an OpenAI-compatible API.; 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.
TL;DR
A weekly project briefing assembled by a lead agent and specialists
- 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.
- 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.
Side-by-Side Comparison
open-duetrufloFeatures
open-duetrufloUse Cases
open-duetrufloBest For
open-duetrufloFAQ
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