agy-mcp vs ruflo
agy-mcp: Agy-mcp wraps Google's Antigravity CLI into 11 typed MCP tools, making it callable by any MCP client like Claude Code or OpenAI Codex. It also provides optional Skill bundles to teach supporting platforms when and how to invoke these tools, alongside robust safety policies for secure execution.; 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
Getting a second opinion on a bug hypothesis (using `mode="review"`).
- 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
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