Migrating From OpenClaw to Hermes Agent: Skills, Crons, Memory, and What Breaks (July 2026)

Bottom Line (July 2026)

• There is no importer. No config converter, no agent export. The proven community pattern is recreate, not port.
• Scripts carry over. Agents do not. Your shell and Python scripts run unchanged. The skill wrappers, crons, and memory around them get rewritten.
• What Hermes changes: delegation lanes, context compression, session handling — described in community threads as “all far saner.” Plus a desktop app and an MIT license.
• What stays the same: the token-heavy baseline, model quality dominating output quality, and the same security surface.
• The evidence runs both ways. One MSP kept a customised Hermes and reported OpenClaw “lasted 3 days in the lab under peer review.” Other users tried both and went back. Neither is a verdict for your setup.
• Run both. Keep OpenClaw live until every Hermes recreation has survived a full week of real jobs.

First: Do Not Migrate On Hype

The framing going around is that Hermes versus OpenClaw is becoming React versus Angular — two camps, a lot of noise, and people picking sides before they have a reason. That framing is worth resisting, because the migration cost is real and the payoff is specific rather than general.

Here is what community reports actually attribute to the harness change, and what they do not:

The reports also disagree with each other, and both sides deserve airtime. One managed-services shop said they kept a heavily customised Hermes install and that OpenClaw “lasted 3 days in the lab under peer review.” Other users who tried both came down the other way and stayed on OpenClaw. What that spread tells you is that the harness choice is downstream of your workload, not upstream of it — an MSP running peer-reviewed automation has different failure modes than someone running three personal crons.

The useful test: name the specific thing your current setup does badly. If it is session bloat or agents stepping on each other, Hermes has a plausible answer. If it is cost or output quality, migrating will not fix it — see what Hermes Agent actually costs before you assume the bill improves.

The Migration Path, Honestly

The single most useful thing anyone has said about this migration is from a user who did it: they did not migrate their OpenClaw agents at all. They had Hermes recreate them and copied the scripts across from OpenClaw.

That is the whole strategy. The agent definitions, skills, and crons are harness-shaped and do not transfer. The scripts they call are just code and transfer fine. So you treat the old install as a specification document, point the new agent at it, and let it rewrite the wrappers.

Five layers, in the order that hurts least.

1. Config and model auth

Start clean rather than copying config files across. Re-add your providers in Hermes, re-enter keys, and confirm one plain completion works before anything else.

The one caveat worth checking first: if you were feeding OpenClaw with consumer subscription auth rather than an API key, that path is contested and has been enforced against. API keys and local models are the uncomplicated options. The details are in what the subscription rules actually say.

If you run models locally, set the context window at this step, not later. Hermes wants a meaningfully larger floor than a default Ollama window provides — see the context section below.

2. Skills

Both harnesses use markdown-plus-script skills, which is why this layer looks easier than it is. The format rhymes; the tool names and signatures do not.

The pattern that works:

1. Point the running Hermes agent at your OpenClaw skills directory and ask it to read a skill and rewrite it in Hermes conventions.
2. Copy the underlying script unchanged. It is not harness-specific.
3. Test the rewritten skill in isolation before moving to the next one.

That third step is not optional. A skill that references a tool Hermes does not expose under that name will often fail quietly rather than erroring — the agent reasons around the missing capability and reports success. Invoke each one deliberately and check the side effect on disk, not the agent’s summary.

3. Crons

List every scheduled job on the old install before you touch the new one. For each job, decide whether it needs an agent at all — a lot of “agent” crons are a script with a prompt wrapped around it, and running them without agent involvement removes both the token cost and the failure mode.

For the ones that do need reasoning, cap the turns. An uncapped scheduled agent is the single fastest way to a surprise bill, because nobody is watching it loop at 3am. Set a max-turn limit on every recurring job before you enable the schedule.

4. Memory

Export the memory files from OpenClaw and import them as documents on the Hermes side rather than expecting a memory migration. The formats differ and the embeddings do not transfer.

This is also the moment to decide whether you want a hosted memory provider or a local stack, since you are rebuilding anyway. Community reports cover both hosted options like Honcho and Hindsight and fully local file-plus-embeddings patterns — the tradeoffs are laid out in a fully local memory stack for Hermes and OpenClaw.

5. Messaging gateways

Telegram, WhatsApp, and any other gateway need fresh auth on the new install. Budget an evening. These are the integrations most likely to leave you with a half-working setup, because a gateway that connects but does not have the right permissions looks identical to one that works until a message arrives.

What Breaks: The Week-One Checklist

From community reports on both harnesses, the same four failures come up.

The context one catches people who are running local models on modest hardware. A roughly 64K minimum is well above a default local runtime window, and when the window is too small the symptoms read as a dumb model rather than a config problem. The mechanism and the fix are in context window traps; if the KV cache is what is blocking you, the honest hardware requirements covers what each tier actually holds.

Run Both For a Week

Do not cut over. Leave OpenClaw running and scheduled while you rebuild on Hermes, and let both do the same jobs for a week.

This costs you some duplicate tokens and it is worth it. A recreated cron that runs correctly once has proven nothing — the failures that matter are the ones that need a specific input, a weekly schedule, or an API that rate-limits you on the fourth call. A week of parallel operation surfaces those while you still have a working install to fall back to.

Turn off the OpenClaw jobs one at a time as their Hermes equivalents prove out, rather than all at once. If you disable the old install and something breaks two weeks later, you no longer have a reference implementation to diff against.

Related Guides

• Why developers are switching from OpenClaw to Hermes (and why some aren’t) — the case on both sides
• Hermes Agent vs OpenClaw — feature-level comparison
• What Hermes Agent actually costs — the token bill under the VPS price
• A fully local memory stack for Hermes and OpenClaw — memory layer options before you rebuild
• Context window traps for local agents — the 64K floor problem
• OpenClaw and Hermes hardware requirements — honest tiers from 8GB to 128GB
• Can you use your Claude or ChatGPT subscription? — auth rules before you re-add providers