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Ruflo AI
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#6799 Radar 21

A hosted AI agent workspace for coordinating coding agents like Codex and Claude.

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Product memo

Teams using AI coding agents like Codex and Claude Code get a coordinated workspace for planning, execution, and review. It moves beyond scattered model sessions by providing a unified command layer and reusable context. This approach enables structured goal planning, delegates specialized tasks to agents, and preserves project memory via RAG, ensuring efficient and repeatable agent-driven development workflows.

For who

Teams using AI coding agents like Codex.

Solves what

Coordinated AI agent workspaces for planning, execution, and review

  • Multi-agent orchestration
  • Memory and RAG
  • Goal Planner UI
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In their own words

Hosted AI Agent Swarms for Codex and Claude Code

Turn Codex and Claude Code into a coordinated delivery swarm. Ruflo gives your team a hosted command layer for planning goals, delegating work, preserving project memory, retrieving the right context, and reviewing agent output before it reaches production.

Turn Codex and Claude Code into a coordinated delivery swarm.

Commercial cues

Pricing snapshot subscription pricing

Model

subscription

Free tier

No

Trial

No

No public pricing tiers captured.

Pricing Strategy

Key Tactics
  • Tiered pricing scales directly with the number of hosted Ruflo workspaces.

Operator context

Founded

May 2026

Platform

Web app

Audience

Developers

Public footprint

No public footprint captured yet.

Builder Strategy

Strategy Type
Niche Specialist
Stage
Pre Revenue
Effort
Solo Buildable
About Ruflo AI Expand

Ruflo AI offers a hosted AI agent workspace designed for teams using advanced AI coding agents such as Codex and Claude Code. It addresses the challenge of managing disparate AI model sessions by providing a unified environment for planning, executing, and reviewing agent-driven development tasks.

The platform focuses on structured goal planning, delegating specialized tasks to agents, and preserving project memory through RAG. This helps developers move from fragmented AI interactions to a more cohesive, repeatable workflow, making it easier to integrate AI coding into daily operations.