How to Set Up a Multi-Agent Parallel Development Environment with Orca

Set Up a Multi-Agent Parallel Development Environment with Orca: Run Claude, Codex, and More Simultaneously

Last month while refactoring a Java backend project, I faced a practical problem: I wanted AI to handle three tasks simultaneously—implementing an API, writing unit tests, and updating documentation. Running one agent at a time and waiting for completion severely reduced productivity.

If you've experienced similar inefficiencies, this tutorial will help you set up a multi-agent parallel orchestration environment using Orca. Orca is a desktop Agent Development Environment (ADE) that lets you run multiple AI coding agents (Claude Code, Codex, Gemini CLI, etc.) concurrently, each in an isolated Git worktree. You can then compare outputs and merge the best result.

By the end of this guide, you'll:

1. Install Orca Desktop and Mobile apps
2. Connect your API subscriptions (Claude, OpenAI, etc.)
3. Create parallel worktrees to dispatch tasks to multiple agents
4. Compare results and merge optimal implementations in Orca
5. Monitor agent progress from your phone

No coding required—just follow along. Let's begin.

Prerequisites

Before starting, ensure you have:

• OS: macOS / Windows / Linux (macOS used in examples)
• Git: Required for worktree isolation (core Orca functionality)
• At least one AI CLI agent: e.g., Claude Code (npm install -g @anthropic-ai/claude-code) or OpenAI Codex CLI
• API keys/subscriptions: For your chosen agents
• Node.js 18+ (if installing agents via npm)

Why Git worktrees? They allow multiple independent working directories within a single repository. Orca uses this to isolate each agent's workspace, preventing interference until you manually merge changes.

Step 1: Install Orca Desktop

macOS users (recommended):

brew install --cask stablyai/orca/orca

Arch Linux:

yay -S stably-orca-bin

Or download from onorca.dev/download

Orca features a WebGL-rendered terminal with split-screen support and persistent history—ideal for debugging agent outputs.

Step 2: Configure AI Agent Subscriptions

Orca acts as an orchestrator—you provide the CLI agents, it handles scheduling and isolation.

Example for Claude Code:

npm install -g @anthropic-ai/claude-code

In Orca: Settings → Agents → Add Claude Code. Orca auto-detects installed CLI agents. Verify API key configuration (Claude Code prompts for login/key on first run).

Repeat for Codex, Gemini CLI, etc. Orca supports virtually any terminal-executable command, enabling combinations like Claude for architecture + Codex for implementation + Gemini for testing.

Pro tip: Use Orca's Account Switcher (bottom-right) to toggle between API key sets (team/personal).

Step 3: Create Parallel Worktrees & Dispatch Tasks

Core workflow: Open a Git repo → Click + → Parallel Worktree

Example task for a Java project's user management API:

Create UserController in com.example.user package implementing GET /api/users and POST /api/users.
Use Spring Boot with standard JSON responses and pagination support.

1. Select Claude Code (architecture focus) and Codex (speed focus)
2. Orca creates isolated worktrees (worktree-claude and worktree-codex)
3. Monitor real-time terminal outputs—agents run independently

Why not manual parallel terminals? Worktrees guarantee isolation and comparability. Changes don't conflict, and Orca provides unified diff views.

Step 4: Compare & Merge Optimal Results

Post-execution:

• Annotate AI Diffs: Add comments directly on diff lines for agent iteration (code review loop)
• Preview implementations: Built-in Markdown/PDF/image viewers
• Merge: Select the best worktree → Click Merge to integrate changes

Recommended workflow: One agent implements, another writes tests → Merge both via Orca (AI pair programming).

Step 5: Monitor from Mobile (Optional)

iOS/Android apps enable remote tracking and follow-up commands:

• iOS: App Store
• Android: APK

Pair via QR code scan (similar to WeChat login).

Troubleshooting

Q1: Worktree creation fails?
Update Git to ≥2.30 (git --version). Worktrees require Git 2.5+.

Q2: API Key errors?
Orca doesn't manage keys—it launches CLI processes. Ensure agents authenticate independently (e.g., OPENAI_API_KEY for Codex).

Q3: Remote server execution?
Yes! Use SSH Worktrees to run agents on remote machines with automatic port forwarding.

Q4: CLI automation?
Use orca worktree create, orca snapshot, etc., for CI/CD integration (e.g., nightly code audits).

Summary

Key steps:

1. Install Orca → Desktop setup
2. Configure agents → Connect CLI tools
3. Parallel worktrees → Single prompt → Multiple agents
4. Compare & merge → Diff views + annotations
5. Mobile monitoring → Track progress remotely

Orca's value isn't just "running agents"—it's the unified orchestration environment with isolation, comparison, merging, and monitoring.

Next steps:

• Try Design Mode for UI-to-code workflows
• Automate with Orca CLI for scheduled audits
• Integrate GitHub/Linear for issue-to-worktree conversion

Questions? Drop them below—I'm active in the community!