Ruflo vs Soloop: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Ruflo and Soloop — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Ruflo

rUv (ruvnet)

Free

Open-source agent meta-harness for Claude Code and Codex adding swarms, self-learning memory, MCP tools and security guardrails.

Agent Swarms: Over 100 specialized agents self-organize into coordinated swarms to split up and run complex tasks.
Self-Learning Memory: Remembers across sessions and learns from successful trajectories using local vector retrieval and contrastive updates.
MCP Server: Run npx ruflo mcp start to expose Ruflo's tools to Codex or any MCP-enabled client.
Claude Code Plugins: Core tools, a visual console and runtime mods add routing and policy enforcement inside Claude Code.
Terminal UI Console: Shows Overview, Cost, Swarm, Events and Missions pages, and also runs standalone.
Federation: Lets agents on different machines communicate securely without leaking data.
Hook-Based Routing: Hooks automatically route tasks and coordinate agents in the background.

Large Refactors: Split a big codebase change across a swarm of specialist agents.
Persistent Project Context: Keep knowledge across Claude Code sessions with vector memory.
Multi-Client Setups: Connect Codex or other MCP clients to the same tool server.
Cost Monitoring: Track spend and agent activity from the console during long runs.
Multi-Machine Collaboration: Let agents on separate machines coordinate through federation.

Freemium

Approval-first Agent OS for solo founders — an AI CEO, CTO, CMO, and Analyst that plan, build, and grow your one-person company.

AI founding team: CEO (planning), CTO (product), CMO (growth), and Analyst (signals) each act as durable roles, not one-off prompts.
Approval-first external actions: Every send, publish, or write goes through a review queue before it leaves your workspace.
Monthly credit pool: One balance funds planning, research, coding, and growth workflows — the same credits follow whichever work you run next.
Recurring operating runs (Operator+): Schedule repeatable launch and growth work so the OS keeps executing between reviews.
Research and evidence collection: Agents pull market and customer evidence needed to decide what to build and sell.
Product and coding workflows: Agents carry out coding and product changes on your behalf, still gated by review.
Team plan with flexible capacity: Shared execution across projects with credit tiers from 1,500 to 7,500/month.

Solo founders launching a first product who want an always-on planning, research, coding, and growth loop without hiring.
Bootstrapped indie makers who need approval-first execution so agents can act on their behalf without going off the rails.
Ex-operators testing new company ideas who want an AI CEO to sequence next moves and an Analyst to surface market signals.
Two- or three-person startups on the Team plan sharing one credit pool across research, product, and growth work.
Founders running recurring launch playbooks (weekly campaign, monthly outreach) who need Operator's approval queue and monitoring.
Advisors and boutique agencies running the same growth workflow across several client projects out of one shared workspace.