Comparisons
Halo vs Muse, Grok Bot, Dots, Instinct, OpenClaw and Hermes
Personal AI assistants are getting much more useful. They can browse websites, follow up on tasks and remember things across conversations. But once an assistant starts handling your everyday life, where it runs becomes just as interesting as what it can do.
I built Halo, so privacy and the amount of setup required are the two things I care about most here. I'll cover Muse, Grok Bot, Dots, Instinct, OpenClaw and Hermes, and explain where Halo takes a different approach.
This is a comparison of their published features and architecture as of October 3, 2026. It isn't a performance benchmark or a claim that I've tested every assistant. The official sources are linked below each chart.
What I'm comparing
The main thing I'm looking at is where your personal context lives. That includes memories, imported messages, browser sessions and the credentials an assistant needs to do something for you.
A cloud assistant keeps its working environment with the company running it. A self-hosted assistant lets you run that environment on a machine you control. Halo packages the assistant into an iPhone app, with local storage and browser use, without a separate assistant server to maintain.
Halo vs Muse
Meta's Muse has a dedicated cloud computer with its own browser. It can keep working after you close the app. Meta also documents a separate Sentinel agent that checks outgoing actions, secure credential storage and approvals for sensitive tasks.
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| What matters | Halo | Muse |
|---|---|---|
| Assistant runs on | Your iPhone | Meta's dedicated cloud VM |
| Personal context | Local storage; supported sync via your iCloud | Data and connected credentials in the cloud VM |
| Browser use | Local browser inside Halo | Browser on the cloud computer |
| Credential storage | Local Keychain-backed secure vault | Secure storage in Muse's cloud environment |
For me the difference is ownership of the environment. Muse adds protections around a cloud computer. Halo keeps the assistant's working environment on the phone I already own. Source: Meta's Muse announcement.
Halo vs Grok Bot
Grok Bot is built around AI teammates using a persistent cloud computer. Its getting-started guide explicitly says cloud data storage is required. Installing a desktop or mobile app doesn't change where that computer lives.
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| What matters | Halo | Grok Bot |
|---|---|---|
| Working environment | Self-contained iPhone app | Persistent cloud computer |
| Assistant data | Stored locally; no Halo data backend | Cloud data storage required |
| Browser use | Runs on your iPhone | Runs on the cloud computer |
| Main focus | Personal context and actions from your phone | AI teammates for delegated work |
Grok Bot's approach makes sense for work you want to hand to a remote computer. Halo's advantage is that your personal context and browser sessions can stay on your device. Source: Grok Bot overview and setup documentation.
Halo vs Dots
OpenAI's Dots support cloud computer and browser use. They can also access a connected local computer where enabled. That local connection is useful, but it doesn't turn the cloud environment into an assistant that lives entirely on your device.
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| What matters | Halo | Dots |
|---|---|---|
| Working environment | Local iPhone app | Cloud computer; optional local computer access |
| Browser use | Local browser inside Halo | Cloud browser capability |
| Passwords | Keychain-backed vault on your device | Password manager capability documented |
| Local context | iMessage import via Shortcuts; local memory | Local files and commands with permission and setup |
Halo is the approach I'd choose when I want the phone itself to hold my personal context. Dots adds a cloud workspace and optional access to another computer. The source here covers Enterprise controls, so availability and permissions can vary by plan. Source: OpenAI's Dots workspace documentation.
Halo vs Instinct
Instinct focuses on everyday tasks through text and calls. Its website describes connecting to email, messaging and other device context. Its privacy policy says information you make available can be collected and processed to deliver the service.
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| What matters | Halo | Instinct |
|---|---|---|
| Personal context | Local memory and imported data | Connected context processed by the service |
| Getting started | iPhone app; configure your AI provider | Text the assistant to get started |
| Local browser and vault | Built into Halo | Local-only equivalents not established by cited sources |
| Model data handling | Depends on the provider you choose | Training opt-out with exceptions; Workspace data excluded |
I'd read that policy before connecting private accounts. It allows some data to be used for model training, offers an opt-out with safety-review exceptions, and separately excludes Google Workspace data from training. Halo avoids adding an assistant company's data store between your phone and your model provider. Source: Instinct overview and privacy policy.
Halo vs OpenClaw
OpenClaw is a self-hosted assistant gateway. You can run it on your own computer or a server and connect messaging channels. It also supports a managed browser. This gives you control over the machine running your assistant.
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| What matters | Halo | OpenClaw |
|---|---|---|
| Assistant host | Your iPhone; no separate gateway | Your computer or server runs the gateway |
| Browser use | Local browser inside the app | Managed browser on the configured host |
| iMessage | Imports to a local database via Shortcuts | Channel integration via macOS and imsg |
| Setup to maintain | App and your chosen AI connection | Gateway, runtime and channel configuration |
You don't need to rent a server for OpenClaw. The difference is that you still run and maintain a gateway somewhere. Halo removes that separate assistant host, which is a practical advantage if you want to get started from your phone. Source: OpenClaw overview, browser setup and iMessage documentation.
Halo vs Hermes
Hermes Agent, from Nous Research, focuses on persistent memory and learning reusable skills from tasks. It supports local execution and other backends, with messaging through a gateway. Its memory system keeps files such as MEMORY.md and USER.md across sessions.
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| What matters | Halo | Hermes |
|---|---|---|
| Assistant host | Self-contained iPhone app | Your computer or a configured execution backend |
| Memory | Local linked pages and on-device vector search | Persistent memory files and session search |
| Browser use | Local browser built into Halo | Browser tools; check backend and service configuration |
| Setup to maintain | App and AI provider connection | Runtime, providers, tools and optional gateway |
Hermes can run locally without a rented server too. What Halo removes is the need to manage a separate agent environment. You get the assistant, memory, browser and secure vault together in the app. Source: Hermes repository, memory guide and tools documentation.
Why I built Halo this way
A personal assistant needs context to be useful. A delivery update in iMessage, an appointment in your calendar and a receipt in email all tell it something about your day. I wanted that context to live with the person using the app.
- Local user data. Your memories and imported context live on your device. Supported data can sync through your own iCloud account, rather than a Halo backend.
- Local browser use. Website actions run from the browser inside Halo. Websites still receive the requests needed to complete those actions.
- A local secure vault. Sensitive records are stored using Apple's Keychain, with iCloud Keychain sync across your devices. Vault access has authentication controls and an access log.
- iMessage sync. A Shortcuts setup imports messages into Halo's local database. This is message context for your assistant, rather than just a number you can text.
- No separate assistant server. You don't need to keep a gateway running on a desktop or maintain a VPS. Halo is contained in the iPhone app.
There is a trade-off. A cloud computer can keep working independently of your phone. Halo's execution depends on the device and iOS background limits. And choosing a cloud AI provider still means sending that provider the context needed for a request.
For my own data, I prefer the local approach. It gives me a useful assistant without another company holding the working copy of my life. If you'd like more detail, I've written about how Halo remembers you, and documented its security and privacy model.
For more options that give you control over your data, read my list of privacy-first AI assistants. You can also take a look at Halo and see how it fits into your day.