Ara

What is Ara?

Ara is a macOS IDE built for software teams who want development to run continuously rather than stall between prompts. It watches work in progress, anticipates the next step, and executes tasks through background agents, scheduled workflows, and non-invasive computer use. Its underlying infrastructure — Hermes Cron, Hermes Skills, Memory, and Mac computer use — forms a closed loop: Ara suggests, acts, learns from each run, and refines its approach for the next. Used daily by builders at Stanford, MIT, Harvard, Airbnb, Meta, and other top teams.

Key Features

• Background Agent Execution

  Converts active development work into scheduled agents and recurring workflows that keep running without waiting for the next user prompt.

• Reusable Skills

  When Ara learns a workflow, it preserves the method as a reusable skill — so future runs start with sharper instructions, more context, and less manual steering.

• Persistent Memory

  Maintains awareness of the codebase and prior actions across sessions, allowing Ara to understand project context and prepare the next development step intelligently.

• Mac Computer Use

  Operates directly within local macOS tools — browsers, terminals, and file systems — to execute tasks non-invasively alongside the developer's existing environment.

• Mission Control Dashboard

  Provides a dense, unified view across chats, files, browsers, terminals, and review panes so developers maintain full visibility while agents handle the workload.

Use Cases

• Automated Development Loops : Engineering teams can set recurring product-development tasks — code reviews, test runs, dependency checks — and let Ara execute them on a schedule without manual re-triggering.
• Proactive Task Progression : Developers working on complex features benefit from Ara watching work in progress and surfacing the next logical action before they have to ask.
• Cross-App Workflow Automation : Teams can automate multi-step workflows that span local tools, terminals, and browsers using Ara's computer use and agent runtime capabilities.
• Institutional Knowledge Capture : Engineering leads can use the Skills system to encode proven workflows and best practices so the entire team starts every similar task with accumulated context.
• Long-Running Research & Planning : Product and research teams can delegate background tasks like codebase analysis, planning follow-ups, and cross-app data gathering to Ara's agent infrastructure.

FAQs