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

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

fx

Vercel Labs

Free

Vercel Labs' tiny open-source coding agent — a ~6 MB native CLI written in Zig, built for speed, embeddability and Unix-style ergonomics.

Tiny Native Binary: The whole agent ships as a roughly 6 MB executable designed for instant installation and for embedding in resource-constrained environments and agent sandboxes.
Instant Time to Prompt: fx cold starts in about 10 microseconds and performs no unnecessary work or I/O before accepting user input, which matters for programmatic invocation.
Minimal Memory Footprint: A single-digit-megabyte memory baseline lets you pack many concurrent instances onto one machine.
Shell-Like Ergonomics: Scroll history is preserved by default and output is deliberately sparse, so the CLI composes like a Unix tool instead of taking over the terminal.
Context Efficiency: A minimal system prompt and tool surface reduce token spend and improve time-to-first-token performance.
WebAssembly Builds: Optimal fx.wasm builds from the Zig toolchain shrink the binary further and make the network stack pluggable, enabling the in-browser demo.
Model and Provider Agnostic: Works with local models, LLM gateways, direct provider API access or existing subscriptions rather than locking you to one vendor.
Extensible Small Core: Capabilities are added through skills, plugins and MCPs, following a Unix-like philosophy of a small core with composable extensions.

Sandboxed Agent Execution: Ship a full coding agent inside a container or sandbox where a large runtime would not fit.
Embedding in Larger Systems: Use fx as the agent harness inside your own product or internal platform rather than building a loop from scratch.
CI and Scripted Automation: Invoke a coding agent from pipelines and scripts where fast cold starts and quiet output matter more than an interactive UI.
Agent Harness Research: Experiment with system prompt and tool design on a deliberately minimal, readable Apache-2.0 codebase.
Local-Model Coding: Run agentic coding against a locally hosted model without any dependency on a specific cloud provider.
Browser-Based Demos and Playgrounds: Compile to WebAssembly and run the agent client-side with networking delegated to browser fetch.

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.