CopilotKit drops OpenMuse, an open-source personal AI agent

OpenMuse is an open-source personal agent template from CopilotKit that gives an AI model its own browser, terminal, and local file workspace. Instead of just answering prompts, it runs continuously through multi-step plans to handle personal tasks on your behalf.

Built under the permissive MIT license, OpenMuse is essentially a self-hosted alternative to corporate personal agents like Meta Muse, designed specifically for people who are hesitant to hand over their personal communications to big tech platforms.

What it can actually do

OpenMuse acts like a digital assistant operating an isolated virtual workstation. You assign it an outcome, review its plan, and let it work through the steps in the background. It combines a persistent Chromium instance with an optional Linux container workspace, allowing the agent to browse live pages, run shell commands, edit files, and transfer documents.

In practice, you can connect your Google account to let OpenMuse read email threads, draft replies, and manage your calendar. It can take a permission slip attached to an incoming email, extract the necessary fields, fill out the PDF, and queue up a ready-to-review response for your confirmation.

It also handles continuous tracking and web research. For instance, you can tell it to monitor a public product page for price thresholds or stock changes, or ask it to research weekend events online and display clean inline result cards right inside the chat. For personal finance, you can import transaction CSVs to automatically generate categorized spending dashboards.

Crucially, you are never locked out of what it is doing. Whenever the agent is browsing or running commands, you can click Take Control to jump directly into the live browser session or terminal to guide the process or finish a tricky checkout step yourself.

How to run it

Getting OpenMuse running locally requires Node 24 LTS and pnpm. A lightweight sample mode lets you test the mobile and desktop web interface without needing an active model API key, Google credentials, or Docker containers.

Once cloned from GitHub, you generate a server-only CopilotKit Intelligence project key to power thread persistence. The app can be configured to use OpenAI, Anthropic, or Google models depending on your preference, and it uses keyless search via Parallel MCP for live web queries. If you have enough local hardware, you can point the agent backend to your own local models.

Enabling real-world automation requires Docker for the headless Linux workspace and Playwright for the browser worker. For cloud hosting, the repository includes a blueprint for Render with separate API, web, and browser services. CopilotKit notes that deploying the API requires at least a Standard tier with 1 GB disk, as embedded Postgres will exhaust smaller 512 MB memory instances.

Why it matters

Corporate personal assistants promise enormous productivity, but they demand complete surrender of your personal correspondence, schedule, and habits. OpenMuse proves that an autonomous personal agent with a full computer interface can be built in the open and deployed entirely on your own terms.

If you are an independent developer or power user looking to automate daily administrative chores without leaking private data to a centralized platform, this is an excellent framework to test today. While the Alpha setup still demands technical comfort with containers and OAuth configuration, it provides a transparent, flexible foundation that closed-source competitors simply cannot match.