Compare Meta Muse, Hermes Agent, OpenClaw, and Claude’s agents and the feature lists blur together fast. All four take a goal, plan the steps, use tools, and remember things across sessions. Put them side by side and they look like four versions of one product. They are not. One question separates them cleanly, and it has nothing to do with the length of a feature list. It is about who runs the thing.
This is a buyer’s decision piece, not a spec sheet. First the single axis that splits these four, then the five criteria that decide the choice, then how each one scores, and finally a plain “if you want X, pick Y” table you can act on today.
Two of these agents run in someone else’s cloud. Two run on hardware you control. Everything downstream, from cost to privacy to maintenance, follows from that one line.
The One Question That Splits All Four
Ask one question of each agent: when it works for you, whose computer is doing the thinking and whose disk is holding the memory?
Meta Muse and Claude’s agents answer the same way. The model runs on Meta’s servers or Anthropic’s servers. Your memory sits on their infrastructure. You reach them through an app or a website and log in to use them. These are hosted, closed agents. You are a user of a product.
OpenClaw and Hermes Agent answer the other way. The agent runs on your machine, or on a machine you rent and control. Memory is a file on your disk. Credentials are yours. The model underneath is your choice, and you can swap it without asking permission. These are open, self-hosted agents. You are the operator.
That split predicts almost everything else. Hosted agents start faster and are easier to keep running. Self-hosted agents cost less at scale, keep your data in your hands, and let you customize everything, at the price of setup and upkeep. Neither camp is better in the abstract. One of them is better for you.
The Five Criteria That Actually Decide This
Before judging any of the four, define what you are judging them on. Five criteria do almost all of the work.
- Who runs it. Hosted and closed, or self-hosted and open. This is the master switch.
- Where your data and memory live. On the vendor’s cloud, or on a disk you control. This decides privacy and, more importantly, portability.
- What it costs, and how that scales. A subscription for the hosted options, hardware plus model usage for the self-hosted ones. Which is cheaper flips with volume.
- Setup and maintenance. Minutes with nothing to maintain, or an evening to install plus ongoing care.
- What it is genuinely best at. The one job each option wins, ignoring the marketing.
Notice what is missing: a raw feature count. Feature lists converge over time, and they tell you almost nothing about fit. The five criteria above are the ones that still matter after the novelty wears off.
How Each One Scores Against the Criteria
Meta Muse: the agent that comes to you
Muse is Meta’s hosted personal AI agent, introduced September 8, 2026, and marketed as “the world’s first personal AI agent built for everyone” (Meta, about.fb.com, September 8, 2026). Treat the slogan as a claim. The substance is a hosted agent that takes a goal, plans, opens a browser, fills forms, and keeps working after you close the app, pausing before it sends an email or buys something. It connects to email, calendar, payments, health, shopping, and smart home, and you can talk to it through WhatsApp (Reuters, via tech-insider). It runs on iOS, Android, muse.ai on the web, and a Mac app added September 17, 2026, United States only at launch, 18 and up. We broke it down in our plain-English Meta Muse explainer.
Against the criteria: Meta runs it, full stop. Your data and memory live in Meta’s cloud, inside an isolated Secure VM, with a guard agent called Sentinel gating internet access. Cost is free for most everyday use, with paid tiers Meta has not published; reports point to roughly 20 dollar and 100 dollar tiers, unconfirmed (tech-insider). Setup is close to nothing. What it is best at is reach: it touches the accounts ordinary people actually use, on the phone they already carry, with no box to run.
The tradeoff is total dependence on Meta. You cannot move Muse to your own hardware, swap its model, or take your memory file with you.
Claude’s agents: the suite you rent
Anthropic does not ship one agent. It ships a family. Claude Cowork is an autonomous desktop and web agent with a built-in browser. Claude Code is an in-repo coding agent with subagents, MCP support, hooks, and agent teams. The Claude Agent SDK lets you build your own agent on Anthropic’s stack, and Managed Agents are the hosted API version. All of them run in Anthropic’s cloud and are locked to Anthropic’s models. We covered the thinking-layer split in Claude and OpenClaw as brain and hands.
Memory changed in September 2026. Claude chat and Cowork now share one memory system in both directions, so context from a chat reaches Cowork and back. Claude Code is the exception: it keeps its own separate memory and context, which Anthropic confirmed to ZDNET. Memory is on by default across Free, Pro, and Max, now inspectable, editable, and deletable. Sensitive topics, including health, politics, religion, and identity, are excluded by default. We walked through the controls in our post on Claude’s memory unification.
Against the criteria: hosted and closed. Data and memory live in Anthropic’s cloud, with strong controls and a clear boundary between products. Cost is a subscription or metered API usage, and setup is low. What it is best at is work closest to code and structured professional tasks, with the deepest reasoning of the four and a real developer platform underneath.
OpenClaw: the assistant you own
OpenClaw is our own product, so read this with that in mind. It is an open-source runtime for AI agents that runs on your own machine. It bridges 22 or more messaging channels, ships native macOS, iOS, and Android apps, keeps persistent memory in plain files you can open, and runs skills, subagents, scheduled jobs, canvas, and voice. Its defining trait is surface area: one assistant that reaches every chat app and every device you own, as we argued in our Hermes vs OpenClaw breakdown.
Against the criteria: you run it. Data and memory live on your disk as files. Cost is hardware plus model usage on the provider of your choice, with no per-seat fee. Setup is real work, an evening rather than a minute. Our 30 minute OpenClaw setup guide is the fastest path in. What it is best at is being the single assistant that follows you everywhere and stays yours.
Hermes Agent: the agent that teaches itself
Hermes Agent, from Nous Research, is the other open, self-hosted option. It is MIT licensed and installs with one command. It remembers across sessions and writes its own reusable skills as it works, landing them as plain markdown files you can open and edit. It ships a built-in cron, a messaging gateway that reaches 14 or more platforms including Telegram, Discord, Slack, WhatsApp, Signal, email, and the CLI, a desktop app for macOS and Windows, and model choice across 20 or more providers. Its philosophy is what Nous calls Harness Engineering, a smarter wrapper around whatever model you plug in. The Hermes Atlas guide, updated September 23, 2026, lists 248,260 GitHub stars and calls it the fastest-growing open-source agent of 2026, though star counts vary widely across sources, so treat any single figure with caution.
Against the criteria: you run it. Data and memory live on your disk, and the self-writing skills mean the agent compounds in ability over time. Cost is hardware plus model usage, with optional paid Nous Portal tiers listed at a free level, then 20 dollars, 100 dollars, and 200 dollars a month. Setup is one command, though keeping it sharp is ongoing. What it is best at is getting better at your work without you rewriting prompts, and it ships a migration tool that ports OpenClaw configs if you want to switch.
If You Want X, Pick Y
Strip away the marketing and the choice collapses to a short list of real goals. Match your goal to a row.
- If you want an agent that just works, on the phone you already own, touching your real email and calendar today: Meta Muse. Nothing to run, free for most everyday use. You accept that Meta holds the data.
- If your job is code and structured professional work, and you want the strongest reasoning plus a platform underneath: Claude’s agents. Cowork for browser and desktop tasks, Code for repositories, the SDK when you build your own.
- If you want one assistant on every app and device, and you want to own the box and the data: OpenClaw. The widest surface area of the four, at the cost of running it yourself.
- If you want an agent that writes its own skills and sharpens at your work week by week, portably: Hermes Agent. One command to install, plain markdown skills, easy to move.
- If your data cannot leave your building: OpenClaw or Hermes Agent. Hosted agents are off the table, and that ends the discussion.
- If your priority is the lowest cost at high volume: a self-hosted agent on your own hardware. Subscriptions scale with seats, and self-hosting does not.
Where Your Data and Memory Actually Live
This is the section that decides it for a lot of people, so slow down. With Muse, memory and working data sit in Meta’s cloud, inside an isolated VM, with Sentinel guarding network access. With Claude, memory sits in Anthropic’s cloud, inspectable and editable, with sensitive categories excluded by default. With OpenClaw and Hermes, memory is a set of files on a machine you control.
The practical difference is not only privacy. It is exit. A hosted agent’s memory is a service feature you can inspect and, to a degree, edit or delete, but you cannot extract it and hand it to a different agent. A self-hosted agent’s memory is a file you can copy, back up, compare, or move to new hardware. If portability matters, that gap is the entire argument.
What Each One Costs
Cost is where the split flips direction depending on volume. Hosted agents front-load nothing and charge a subscription. Muse is free for most everyday use, with unannounced paid tiers reported around 20 dollars and 100 dollars. Claude runs on a subscription or metered API usage, predictable until your volume climbs. Self-hosted agents front-load hardware and setup, then charge only for model usage. At low volume, hosted wins on simplicity. At high volume, self-hosting wins on math, because your costs track usage rather than seats.
Be careful with any exact price you read, including these. Meta has not published its paid tiers, and the reported numbers are unconfirmed. Model pricing changes on its own schedule, and self-hosting only beats a subscription if you use the agent enough to justify the hardware.
The Honest Tradeoffs
Each camp gives something up. Choose hosted and you trade control for convenience: your data lives on someone else’s servers, your model is fixed, and your exit is limited. Choose self-hosted and you trade convenience for control: setup is real work, updates can break things, and you are the support desk at 11pm.
Two honest points. A hosted agent like Muse is the easiest way for a non-technical person to get an autonomous agent that touches real accounts, and that is a real achievement. And a self-hosted agent is only as good as the time you put into it, which is why “which is better” is the wrong question. The right question is which trade you would rather live with.
The Bottom Line
Split the four by who runs them and the confusion clears. Meta Muse and Claude’s agents are hosted and closed: fast to start, easy to keep, with someone else holding the model, the memory, and the data. OpenClaw and Hermes Agent are open and self-hosted: more work to set up, but you own the box, the credentials, the data, and the model choice. Pick a hosted agent for speed and reach, a self-hosted agent for control and cost at scale, and stop comparing feature lists that were never going to decide it.
Still torn between the two open ones?
If you have already ruled out the hosted agents and you are choosing between the self-hosted options, that is the narrower and more interesting decision. Our head to head walks through which of OpenClaw and Hermes fits your life, and why the two are really different bets on what a personal agent should be.
About The Author
