Orkas vs ruflo
Orkas: Orkas is an open-source, local-first multi-agent desktop app. A Commander agent plans a goal and coordinates specialist agents, and can also drive external CLI agents such as Claude Code, Codex and OpenCode as local sessions. Conversations, files and API keys stay on your disk, and model calls go straight from your machine to the provider.; 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
- You want a desktop app where one chat coordinates several agents, instead of writing orchestration code.
- You already use Claude Code, Codex or OpenCode and want one place to dispatch work to them.
- You want your data, keys and agents on your own disk, with your own model keys.
- You only want a single all-purpose chatbot; the README itself says Orkas is not for that.
- You want a code library to embed in your own app, or a fully hosted team: the README lists both as not a fit.
- You need Linux packages today: it runs from source on glibc 2.34+ only.
- 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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