Orkas-AI/Orkas

Orkas is an open-source (MIT), local-first AI team for your desktop: a Commander turns your goal into to-dos and coordinates 16 built-in specialist agents plus Claude Code, Codex, OpenCode, OpenClaw and Hermes, with projects, scheduled automations and connectors. Free app for macOS & Windows; built-in models or your own keys.

Open original source ↗

From the publisher

README & documentation

Source preview

Read the project’s overview, installation instructions and usage examples. The original README is the source of truth.

An open-source team of AI agents on your desktop — it turns your goals into finished work and keeps it moving. Orkas is an open-source (MIT), local-first multi-agent desktop app — an AI assistant that works as a team. Tell the Commander what you need: it finishes many tasks on its own, and for bigger work it plans the steps and brings in specialist agents along with the coding and personal agents you already use — Claude Code, Codex, OpenCode, OpenClaw and Hermes-Agent — to work on it together. Orkas is built to keep a project moving, not just answer one prompt. A project holds the goal, rules, memory and files, so every new conversation picks up where the last one left off. To-dos split the work between people and agents, Auto-advance lets the team take on the next to-do by itself, and scheduled automations repeat routine work hourly, daily,…

Orkas-AI/Orkas on GitHub A short preview, not the full document.

Read the full README ↗ · Preview checked 2026-10-31T13:56:00.463Z

Inside the original README — Document outline
  1. Orkas
  2. What the team delivers
  3. Recreate a reference video with your own content
  4. Keep the work moving
  5. Run Claude Code, Codex, OpenCode, OpenClaw and Hermes-Agent together
  6. Why Orkas
  7. Download
  8. What people use it for
  9. How Orkas compares
  10. Quick start
  11. How it works
  12. Task routing

Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.

Links from the README

References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.

Documentation belongs to its respective authors. Reported project/model license: MIT. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

What this repository does

Orkas is an open-source (MIT), local-first AI team for your desktop: a Commander turns your goal into to-dos and coordinates 16 built-in specialist agents plus Claude Code, Codex, OpenCode, OpenClaw and Hermes, with projects, scheduled automations and connectors. Free app for macOS & Windows; built-in models or your own keys.

Repository facts

Owner
Orkas-AI
Primary language
JavaScript
Stars
5,862
Forks
354
Open issues + pull requests
6
License
MIT
Archived
No
Default branch
main
Created
2026-04-29T12:19:08.000Z
Last push
2026-10-31T03:36:24.000Z

Topics and intended use

Owner-supplied topics: agent-collaboration, agent-harness, agent-orchestration, agent-team, agent-workflow, ai-assistant, ai-automation, ai-employee, ai-productivity, ai-team, ai-workflow, autonomous-agents, claude-code-gui, claude-cowork, desktop-agent, local-first, multi-agent, multi-agent-system, self-evolving-agents, task-automation

Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.

Evaluate before installing

Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.

README and project files

Issues and maintenance discussion

Releases and changelog

Source and freshness

Source: GitHub. Metadata observed 2026-10-31T12:14:20.184Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

Open original source

Related repositories

affaan-m/ECC

react/react

trekhleb/javascript-algorithms

DietrichGebert/ponytail

Snailclimb/JavaGuide

airbnb/javascript