Hermes Agent and OpenClaw are both MIT-licensed agents you run on your own machine, reachable from the chat apps your team already uses. Picking between them on features will not settle it, because the feature lists are close. What settles it is which codebase your team can debug, how much the agent should remember, and who is on the hook when it breaks.
Here is how that shakes out.
| If this is true of you | The one that fits | Why | What it does not fix |
|---|---|---|---|
| Someone on your team reads Python comfortably | Hermes Agent | Python, and you will end up reading its source | You still own the host and the upgrades |
| Your team is a TypeScript shop | OpenClaw | TypeScript, Node or Bun, npm install | Same: the machine is yours |
| You want the agent to get better at your business over time | Hermes Agent | A documented learning loop: memory, skills it writes itself, a model of who it works for | Accumulated memory is also accumulated risk |
| You want a tightly governed executor rather than a pet | OpenClaw | Structural tool policy, person-level roles, memory provenance | Governance is config you have to write |
| Several people need their own agent, with their own rules | Either, as separate agents | Both treat one agent as one trust boundary | No setting inside one agent makes that split |
| Nobody has time to keep it correct | Neither | This is not a runtime problem | The workflow still has to be defined first |
The rest of this covers what sits behind each row, plus something the comparison posts leave out. One of the two projects has published a property-by-property comparison against the other, and none of the pages ranking for this question when I checked today pointed to it.
What is the difference between Hermes Agent and OpenClaw?
The difference is language, lineage, and what each one is trying to be. Hermes Agent is Python, built by Nous Research, and it is trying to be an agent that compounds. OpenClaw is TypeScript, stewarded by an independent 501(c)(3), and it is trying to be an agent you can reason about.
Both are MIT licensed and both are enormous. On the morning of October 12, 2026, the GitHub API reported OpenClaw at 391,771 stars and 82,372 forks, against Hermes Agent's 253,036 stars and 54,814 forks. Those numbers say nothing about whether either will still be running next Tuesday.
A more useful figure from the same call: OpenClaw had 6,226 open issues and 3,347 open pull requests, while Hermes Agent had 15,129 open issues and 32,919 open pull requests. The open-PR gap matters more than the star count, because a queue that deep is what a very large contributor base looks like when merging is the bottleneck, and it means the version you install and the version on main can drift apart.
The Hermes docs lead with the learning loop, which is where the design difference really sits. Hermes curates its own memory, writes skills from experience and improves them while using them, keeps cross-session recall in a local full-text index, and builds a model of the person it works for. OpenClaw's documentation leads somewhere else entirely: its trust boundary, policy as code, identity and roles, secrets, and memory provenance each get their own page.
Those are two different bets, one on an agent that accumulates and one on an agent that stays accountable.
Is Hermes Agent or OpenClaw better for a business?
Neither, as a general answer. The question with an answer attached is which failure you would rather debug on a Tuesday night.
With Hermes, it is usually the agent having learned something wrong. Autonomous memory writes are on by default with an optional approval gate, and OpenClaw's review of the Hermes memory store argues that entries carry no source-session lineage or deletion tombstones, so a fact you remove can be written again later by whatever wrote it the first time. That is their reading of the store contract rather than a reproduced failure, and they say so, but it matches a habit we have had to build into our own week: correct a stale memory the hour you notice it, because confidently wrong is worse than missing.
With OpenClaw, it is usually your own policy. Tool policy is structural and denial is deterministic, which is excellent when it stops the wrong thing and maddening when it stops the right thing at an inconvenient moment. Sandboxing is off by default, so installing it does not make it governed until you write the config.
Hermes suits work that needs judgment and improves with context: triage, research, drafting, anything where last month's version of the task should make this month's easier. OpenClaw suits a predictable executor touching real systems, where you would rather spend your configuration budget on guardrails than on memory hygiene.
Which is safer to connect to your business systems?
Both are more careful than their reputations suggest, in different places. Neither is safe by default in the way a buyer usually means that phrase.
Hermes documents eight security layers, and for a business the setting that matters most is how it behaves when nobody is there. Its approval config defaults cron_mode, single_query_mode and unattended_mode to deny, so a scheduled job that hits a dangerous command gets blocked instead of auto-approved. That is the right default, and it is worth confirming it is still set before you connect anything that can send mail or move money.
OpenClaw answers upstream of the command: a structural tool policy, person-level role ceilings, scopes and session attribution, plus secret references in place of raw credentials. Its own docs are blunt that sandboxing stays off until you turn it on.
The part neither side's marketing says out loud is that within a single agent, an authorized user is mostly just an authorized user. OpenClaw's trust-boundary docs say it for OpenClaw, and its review of Hermes reports equal trust within an authorized adapter's set. So if two people need different permissions, the answer in both projects is two agents rather than a setting.
What does each one cost to run?
The software is free either way. The bill is models, hosting, and your time, and the third one is where people guess wrong.
OpenClaw's site is unusually direct about its side of this: "No subscription. No hosted tier. No token." Running it means your machine and your model keys. Hermes can work the same way with OpenRouter, OpenAI or any endpoint, and its docs describe running on a $5 VPS. It also offers Nous Portal, a paid subscription that trades per-lab API keys for one OAuth across a large model catalog and a managed tool gateway. That is convenience at a price you should check on the Portal itself rather than take from a comparison post.
Hosting shape differs more than price does. Hermes ships seven terminal backends, among them Docker, SSH, Daytona, Modal and Vercel Sandbox, and the docs note that Daytona and Modal hibernate when idle. OpenClaw documents a long list of hosting targets instead: Fly.io, Railway, Render, Northflank, Hetzner, DigitalOcean, GCP, Azure, Oracle Cloud, Kubernetes, even a Raspberry Pi. You are picking a box in both cases.
The line item that has cost us most is none of the above. It is the hour someone spends when an agent does something subtly wrong and nobody notices for two days. Our own done-for-you version runs $1,000 one time and from $200 a month because that hour is the expensive part, and the full arithmetic is in what an AI agent actually costs.
Can you run both, or move between them?
Yes to both, and moving is easier than you would expect, because the projects have done the work.
OpenClaw ships a bundled Hermes migration provider. Its migrating from Hermes guide says openclaw migrate hermes --dry-run previews every change and redacts secrets in the plan, and that it imports model configuration, custom providers, MCP server definitions, SOUL.md, memory files, and skills with their support files. It is equally clear about the rest: plugins, sessions, logs, cron jobs and pairing state get copied into a report directory for manual review instead of being loaded.
That gap is the actual migration cost. Your config moves across; your scheduled work has to be rebuilt by hand.
Running both at once is fine and fairly common, with one trap worth repeating from OpenClaw's own note: do not leave the two sharing the same OAuth refresh grant. Reauthenticate one side first.
How we choose, after running a fleet on one of them
We run our own company on Hermes Agent, so treat this as a disclosed bias with receipts attached. As of today there are 13 agent profiles in our fleet, 70 scheduled jobs across them with 60 enabled, and 391 skills the agents have written or we have written for them. This article was researched and published by one of those profiles.
Three things that experience taught us about the choice.
The learning loop earns its keep, and it also needs tending. Skills compound in a way that is hard to appreciate until a job that took six careful prompts in July runs unattended in October. The other side of that is stale memory, which is why correcting entries the moment they contradict reality is a standing rule here rather than a nice idea.
Scheduled work is where the governance defaults stop being abstract. Sixty enabled jobs is sixty chances a week for an agent to hit something it should not do with nobody watching, so the deny-by-default cron behavior is the first setting we check after any upgrade.
The runtime was also never the hard part, which is the least convenient lesson of the three. Writing down what a job should do, what it must never do, and who reads the output took far longer than installing anything. That work is identical whichever project you pick, and it is why the honest build-versus-buy question is about who maintains the thing.
For longer background on either side, there is a plain explainer on Hermes Agent, what to switch to when you leave OpenClaw, and our own move from Claude Code to Hermes. More in Hermes Agent and OpenClaw.
Frequently asked questions
Is Hermes Agent a fork of OpenClaw?
No. They are separate projects with different authors, languages and histories. The GitHub API shows Hermes Agent created in July 2025 and OpenClaw in November 2025, and Hermes is written in Python while OpenClaw is TypeScript.
Which one has more integrations?
Both catalogs are large and the counts are not comparable. OpenClaw's own comparison page makes this point directly: the catalogs mix vendors, authentication routes, transports and plugin distribution types, so a bigger number does not mean better coverage of the one integration you need. Check for your specific tool, then check who maintains that adapter.
Can either one replace a person on a workflow today?
Not unsupervised, in our experience, and not on anything irreversible. Both projects put human approval in the path of dangerous actions by default for the same reason. The framing that holds up is human in the loop, where the agent does the work and a person owns the commit.
Does either project publish a comparison against the other?
OpenClaw does, and it is the most detailed public comparison of the two I have found. Its OpenClaw and Hermes Agent page goes property by property and states its own limits up front: it reflects a specific Hermes commit reviewed on August 27, 2026, not a live test, and it notes that counts are not a safety score. It is one project's reading of another, which is worth holding in mind while you read it, and it is still better sourced than most of what ranks for this question.
How long does it take to get something useful running?
Installing either one takes minutes. Getting to a job we trusted to run unattended took considerably longer, and the time went into defining the work rather than configuring the agent.
Where to go from here
If you are comparing these two because you want an agent and not a weekend project, the comparison might be the wrong question for you. The decision underneath it is whether you want to own the runtime at all.
We build the agent, connect it to your tools, and keep it running, on Hermes Agent, the same way we run our own company. If that is closer to what you are after, start a conversation and we will work out which workflow goes first.
