amux vs Jules (Google)

Jules is Google's cloud-hosted autonomous coding agent for GitHub issues. amux is an open-source control plane that runs a fleet of them — dozens of agents simultaneously, on your own infrastructure, with your choice of model. Here is how they compare. Updated July 2026.

Jules (Google) is an autonomous AI coding agent that connects to your GitHub repository and resolves issues autonomously. You assign an issue to Jules; it analyzes the problem, writes code, opens a draft PR, and asks for review. It runs entirely in Google's cloud, powered by Gemini models. Jules focuses on the single-task-at-a-time workflow: assign one issue, get back a PR.

amux is an open-source control plane for running an AI engineering team from a single dashboard or your phone. It launches, monitors, and self-heals dozens of Claude Code, Codex, or Gemini CLI sessions simultaneously. Built-in kanban board with atomic task claiming, notes, CRM, Gmail API, browser automation, and scheduler. Single Python file, MIT + Commons Clause licensed, zero external dependencies.

At a Glance

How Jules Works

Jules integrates with GitHub at the repository level. When you assign an issue to Jules (or tag it with a Jules label), it:

1. Clones your repository in Google's sandboxed environment
2. Reads the issue description and associated context
3. Plans and writes code to resolve the issue
4. Opens a draft pull request with the changes
5. Requests review from the issue author or repository maintainers

Jules is optimized for this specific workflow — the "autonomous issue-to-PR" pipeline. It handles one issue at a time per assignment, running asynchronously in the background while you do other things.

How amux Works

amux is a control plane that runs on your machine (or a cloud VM) and manages a fleet of AI coding agents — Claude Code, Codex CLI, or Antigravity CLI (Gemini). You register sessions with task descriptions, and agents pull work from a shared kanban board with atomic claiming to prevent duplicate effort. A background watchdog auto-restarts crashed agents and compacts context on overflow.

Unlike Jules, amux is not limited to GitHub Issues. Agents can work on any task you define — feature implementation, refactoring, documentation, testing, code review, data processing, or any other software task. The built-in CRM, Gmail API, browser automation, and scheduler mean agents can also handle business tasks beyond coding.

Which Should You Use?

The honest answer is that they serve different needs:

Use Jules when

• You have a GitHub Issues workflow and want to automate specific issues without infrastructure setup
• You want a managed cloud service with no operational overhead
• Your task is well-defined, bounded, and maps cleanly to a single GitHub issue
• You're comfortable with code running in Google's sandbox (not on your own infrastructure)

Use amux when

• You want to run 10-50 agents in parallel overnight and wake up to dozens of completed tasks
• You want to mix Claude Code + Codex + Gemini CLI in the same fleet
• You need complete control over your code, keys, and infrastructure (self-hosted)
• Your tasks go beyond GitHub Issues — business automation, browser tasks, email, CRM
• Cost matters — amux is free; you pay only for AI provider tokens at market rates
• You want a mobile app and iOS monitoring for your agent fleet

Use both

They are not mutually exclusive. A common pattern: use Jules for triaging and resolving individual GitHub issues with a simple workflow, use amux for large batch jobs, overnight coding sprints, and anything that requires running multiple agents simultaneously or mixing providers.

Cost Comparison

Frequently Asked Questions

git clone https://github.com/mixpeek/amux && cd amux && ./install.sh
amux register myproject --dir ~/Dev/myproject --yolo
amux start myproject
amux serve  # → https://localhost:8822

Related comparisons: amux vs Devin · amux vs Codex CLI · amux vs GitHub Copilot · amux vs OpenHands · All comparisons →