Running Multiple Claude Code Agents in Parallel

A practical guide to running multiple AI coding assistants simultaneously. We'll cover the spectrum from simple terminal tabs to full orchestration - so you can choose what fits your workflow.

Why Run Multiple Agents?

AI coding assistants like Claude Code are powerful, but they work on one task at a time. When you have a frontend feature, backend endpoint, and tests to write, running them sequentially means waiting for each to finish before starting the next.

Running multiple agents in parallel lets you work on all three simultaneously. Your backend agent implements the API while your frontend agent builds the UI and your test agent writes integration tests. Instead of 3 hours of sequential work, you might finish in 1.5 hours.

The tradeoff is complexity: more agents means more coordination, more potential for file conflicts, and more context to track.

Approach 1: Terminal Tabs

Multiple Terminal Windows/Tabs Simple & Effective

The most straightforward approach: open multiple terminal windows or tabs, run Claude Code in each, and work on different parts of your codebase.

# Terminal 1 - Backend work cd ~/project claude # Terminal 2 - Frontend work cd ~/project claude # Terminal 3 - Tests cd ~/project claude
Pros
  • Zero setup required
  • Full control over each session
  • Easy to stop/start individually
  • Works with any terminal
Cons
  • Manual window management
  • Easy to lose track of sessions
  • No shared context between agents
  • Copy-paste for coordination

This works great for 2-3 agents. Once you hit 4+, window management becomes a real overhead. If you find yourself constantly switching windows to remember what's happening, consider upgrading to tmux or an orchestration tool.

Approach 2: tmux / screen

Terminal Multiplexers More Structure

tmux and screen let you manage multiple terminal sessions in a single window with split panes, session persistence, and keyboard navigation.

# Create a tmux session with 3 panes tmux new-session -s agents # Split horizontally: Ctrl+b " # Split vertically: Ctrl+b % # Navigate: Ctrl+b arrow-key # In each pane, run Claude Code claude
Pros
  • All agents visible at once
  • Session survives disconnects
  • Scriptable setup
  • Keyboard-driven navigation
Cons
  • Learning curve for keybindings
  • Still manual task assignment
  • Hard to read long outputs
  • No task tracking or history

Example tmux Setup Script

#!/bin/bash # agents.sh - Start a 3-agent tmux session SESSION="agents" PROJECT="$HOME/myproject" tmux new-session -d -s $SESSION -c $PROJECT tmux rename-window -t $SESSION:0 'backend' tmux send-keys -t $SESSION:0 'claude' C-m tmux new-window -t $SESSION:1 -n 'frontend' -c $PROJECT tmux send-keys -t $SESSION:1 'claude' C-m tmux new-window -t $SESSION:2 -n 'tests' -c $PROJECT tmux send-keys -t $SESSION:2 'claude' C-m tmux attach -t $SESSION

When to use tmux: If you're already comfortable with tmux, this is a natural extension of your workflow. It's also great for remote work via SSH where you need session persistence.

Approach 3: Orchestration Tools

Dedicated Multi-Agent Orchestration Full Feature Set

Tools built specifically for running multiple AI agents add task management, status tracking, shared context, and coordination features on top of raw parallel execution.

Pros
  • Task queue with dependencies
  • Real-time status dashboard
  • Persistent agent memory
  • Token usage tracking
  • One-click task retry
Cons
  • Additional software to install
  • Learning curve for new concepts
  • May be overkill for simple needs

Prompter Hawk Approach

Prompter Hawk is one such orchestration tool. It provides a web dashboard for managing multiple AI agents (Claude, OpenAI, Gemini) working in parallel on a shared workspace.

Key capabilities from the orchestrator:

  • Parallel execution - Run 3-10+ agents simultaneously, each with its own AI backend.
  • Task queue with prerequisites - Tasks can depend on other tasks. Blocked tasks wait automatically.
  • Shared workspace - All agents work in the same filesystem. No branch merging required.
  • Automatic restart - Agents restart on failure with context preserved.
  • Persistent memory - Each agent maintains a progress_log.md that persists between sessions.
  • Tentative tasks - Agents can propose new tasks that require human approval.
  • Recurring tasks - Schedule tasks hourly, daily, weekly, or on custom intervals.
# Initialize a mission in your project cd ~/project prompter-hawk init # Start the orchestrator prompter-hawk # Create tasks from CLI prompter-hawk task @backend-dev "implement auth endpoint" prompter-hawk task @frontend-dev "build login form" prompter-hawk task @qa-tester "write auth tests" -p high

See the Getting Started guide for full installation and setup instructions.

Avoiding File Conflicts

The biggest challenge with parallel agents isn't running them - it's preventing them from stepping on each other's work. Here's what to watch for:

Divide by Domain

The safest approach is to assign agents to non-overlapping parts of your codebase:

  • Backend agent - src/api/, src/models/, src/services/
  • Frontend agent - src/components/, src/pages/, styles/
  • Test agent - tests/, __tests__/
  • Docs agent - docs/, README.md

Use Task Dependencies

When tasks must happen in order, mark the dependency explicitly. If your test agent needs the API to exist before writing tests, make "implement API" a prerequisite of "write API tests".

Commit Frequently

Short-lived work reduces conflict surface. If agents commit after each task, conflicts are smaller and easier to resolve than after hours of divergent work.

Shared files are risky. Files like package.json, requirements.txt, or config files can be modified by multiple agents. Consider assigning one agent as the "owner" of shared files, or reviewing these changes manually.

Choosing Your Approach

There's no universal "best" approach - it depends on your situation:

Use Terminal Tabs When:

  • You're running 2-3 agents for a few hours
  • You want zero setup overhead
  • You're comfortable manually tracking what each agent is doing
  • Tasks are simple and self-contained

Use tmux/screen When:

  • You're already a tmux user
  • You need session persistence (SSH, remote work)
  • You want all agents visible in one view
  • You prefer keyboard-driven navigation

Use Orchestration Tools When:

  • You're running 4+ agents regularly
  • Tasks have complex dependencies
  • You need to track progress over days/weeks
  • Multiple people need visibility into agent status
  • You want task retry without copy-pasting context
  • You're mixing AI providers (Claude + GPT + Gemini)

Start simple, upgrade when needed. Terminal tabs are fine for getting started. When you find yourself losing track of what's happening or spending more time coordinating than coding, that's when structured tooling pays off.