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OpenMuse
OpenMuse is a personal-agent application from CopilotKit for carrying work from a conversation into a saved task and result. Its interface brings together browser activity, documents, plans, and requests for your input.
The project is an alpha for self-hosting and building on, with iOS, Android, and web interfaces. You run its server and configure the services needed for the workflows you want. Use this as a first read, not a recommendation. Open the original project before trusting details like terms, limits, privacy, cost, setup, or safety.
What it is
A starting app for personal-agent tasks
Chat connects to tasks with plans, progress, missing-input requests, and saved outcomes. Goals can also track changes on public pages and place alerts in the app.
Why it stands out
The browser stays available to you
A separate Chromium worker keeps browser sessions and displays results in the conversation. Take control opens the same session so you can continue the browser work yourself.
Availability
Alpha source with a service dependency
The repository declares MIT. Every deployment requires a CopilotKit Intelligence project key for conversation persistence; that service is separate from the repository. A local fictional-data workflow is available before connecting a model or Google account.
Why it matters
What makes it useful
The document workflow shows how an agent task can become something you can inspect: import an email attachment, supply requested form values, open the filled PDF, then review a prepared reply. The local example writes to a fictional mailbox, giving a builder a concrete workflow to explore before configuring personal mail.
What to know
Where it fits
The app runs an API server and task worker, with a separate browser worker for web activity. A model provider enables open-ended agent work; Google OAuth connects Gmail and Calendar. An optional Docker Linux workspace adds commands and editable files. The server host must remain running for background work.
Notable points
What stands out
Task progress is stored separately from conversation history. A task can pause for missing information or an action review, then resume with a saved outcome record. Pause, cancel, and retry controls belong to that task lifecycle. The project notes that cancellation may not stop an already dispatched provider request from finishing.
Before using
What to review
The quick start needs Node.js, pnpm, and a CopilotKit Intelligence project key. Live reasoning, Google account access, the browser worker, and Docker commands each have additional setup.
The verification notes separate fictional-data and fixture tests from live model and Google-account acceptance, which remain pending. Mobile bundle exports do not establish installed-device support; Android device acceptance is still unverified.
PDF filling supports specified form fields, not OCR or scanned forms. Autonomous bookings, payments, device push notifications, and bank connections remain outside the current release.
The README says default Parallel web search sends model-generated queries and context that may contain conversation or task information. Runtime telemetry defaults to full capture, with SDK opt-out and sampling settings; review those choices before adding personal material.
Application data, PDFs, and browser profiles are stored by the deployment, while conversation history uses Intelligence. The README treats this as a single-owner application rather than a multi-user service.
Reader fit
Who may find it relevant
Developers building a personal assistant can explore an existing task interface and adapt its server workflows. Casual visitors can inspect the demos to see the browser and document interactions, but running the app requires service configuration rather than a ready-to-use consumer signup.
Editorial note
Why LifeHubber lists it
We list OpenMuse because it connects a personal request to both a result you can open and an action you can review. For a builder adapting a permission-slip or email workflow, the useful pattern is the handoff: the agent asks for missing details, presents the filled document, and brings the proposed reply back for a decision. That makes the application worth exploring when your assistant needs to deliver usable work while keeping you involved in what happens next.
Source links
Source materials
Reader note
Before relying on this entry
LifeHubber lists entries to help readers inspect AI projects, not to endorse them or prove they are safe, suitable, accurate, maintained, or right for a specific use. We do not verify every entry in depth. Before relying on anything listed, review the original materials, terms, privacy practices, limits, and risks that matter for your situation.
What to explore next
Choose the access your personal agent needs.
Before connecting mail, browser sessions, or workspace files, the computer-control guide helps you decide what the task may access and where your approval belongs.
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