by Orkas-AI · Codex Skill · ★ 808
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Orkas Open-source, local-first desktop app to build and command a team of AI agents — in one chat, with your own LLM keys. Fully offline-capable. macOS · Windows · Linux. English · 简体中文 A commander LLM assembles a team of sub-agents and dispatches them in parallel or in series. Agents self-evolve through reflection. Your conversations, files, and API keys never leave your machine. What is Orkas? What it is — a desktop GUI app where you build a team of specialized AI agents and command them through a single chat. Not a code framework, not a hosted SaaS. Local-first — conversations, files, API keys, knowledge bases, and custom agents all stay on your disk. Model calls go straight from your machine to the provider — never through Orkas servers. Multi-agent (lead + sub-agents) — one commander LLM dispatches sub-agents in parallel or in series; each agent has its own
| Stars | 808 |
| Forks | 36 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 61.1124786502784/100 |
| Open Issues | 4 |
| Last Updated | 2026-07-29 |
| Created | 2026-04-29 |
| Platforms | claude-code, cli, gemini, node |
| Est. Tokens | ~15k |
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Orkas is Open-source multi-agent AI desktop client — build and command your AI agent team through conversation. A commander LLM dispatches sub-agents in parallel or in series; agents self-evolve via reflection. It is categorized as a Codex Skill with 808 GitHub stars.
Orkas is primarily written in TypeScript. It covers topics such as agent-collaboration, agent-orchestration, agent-team.
You can find installation instructions and usage details in the Orkas GitHub repository at github.com/Orkas-AI/Orkas. The project has 808 stars and 36 forks, indicating an active community.
Orkas is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Orkas on Agent Skills Hub include tutti, opencrew, clawpanel. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.