OpenClaw vs Hermes Agent: the honest comparison

By Linas Valiukas · April 16, 2026

Hermes Agent came out of nowhere. Nous Research open-sourced it in February 2026 and it passed 61,000 GitHub stars in roughly two months. Every r/openclaw thread now has at least one comment asking whether to switch.

I've been running both side by side for the last three weeks. Here's the honest breakdown - not the press release version.

The short answer

They're solving different problems with the same category of tool.

• Hermes is easier to set up, uses less memory, and actually learns from past runs. It's a single-agent system designed around a tight "do, observe, improve" loop.
• OpenClaw has a central controller that coordinates skills, subagents, channels, and background tasks. More pieces, more power, more things to break.

If you want one personal assistant and you're tired of YAML, Hermes. If you want a messaging-native agent that handles WhatsApp triage, Slack updates, calendar nudges, and a cron job all at once, OpenClaw still owns that.

Origins

OpenClaw was built by Peter Steinberger starting in November 2025 as an open-source answer to the "AI agent in your messaging app" category. 346,000 stars later, it's the default choice for self-hosted agents. Python gateway, Node.js plugins, Docker-first deployment.

Hermes Agent is Nous Research's 2026 project. Same team that ships the Hermes LLM fine-tunes on Hugging Face. They built the agent framework to run those models well rather than bolting onto an existing stack. Rust core, TypeScript plugins, single-binary deploy.

The design philosophies diverge hard. OpenClaw treats the agent as a dispatcher that calls out to skills. Hermes treats the agent as a learner that improves its own routines over time.

Setup: Hermes wins

I timed both from a clean Ubuntu VPS.

• OpenClaw - 47 minutes. Docker, docker-compose, gateway config, reverse proxy, Discord app registration, skill vetting, and the obligatory 30 minutes of figuring out why WebSocket 4008 is throwing on first boot. Covered in the Docker setup post.
• Hermes - 12 minutes. Single binary download, one config TOML, point at a model endpoint, run. The Discord bot was the only thing that needed extra work.

Hermes feels like a tool that respects your time. OpenClaw feels like a tool that assumes you'll eventually write a wrapper script.

Memory: a real difference

This is where Hermes shows its design. The agent runs its loop, observes outcomes, and writes short structured notes about what worked. Next similar task, it loads those notes as context. No embedding service needed. No vector DB setup. It just works out of the box.

OpenClaw's default memory is a flat markdown file. You're supposed to add an embeddings provider yourself. The r/openclaw post "What are you using for embeddings? (My memory file hit 20k)" summed up the pain neatly. The v2026.4.12 Active Memory plugin helps, but it's still opt-in.

If you want your agent to remember that your CEO hates bullet points without you telling it twice, Hermes handles that with less wiring.

Skill ecosystem: OpenClaw wins by a lot

ClawHub has 13,000+ published skills. Most are junk. The 10 that matter cover inbox triage, calendar, CRM, and more.

Hermes has roughly 200 skills in its registry. All reviewed, most well-documented, none that will try to exfiltrate your API keys - which, for the record, is a problem on ClawHub per the malware investigation.

So it's volume versus vetting. If you need something niche - "OpenClaw skill for Slovak tax filings," say - OpenClaw probably has it and Hermes probably doesn't. If you only need the basics and you want them to be safe, Hermes is calmer.

Messaging integrations

OpenClaw's whole pitch is "AI agent inside your messaging apps." First-class support for:

• WhatsApp (via whatsmeow)
• Telegram (including forum topics, v2026.4.14 added topic-name context)
• Discord (text and voice channels)
• Slack
• iMessage (through Sunbird-style relay on macOS)

Hermes ships Discord and Slack natively. WhatsApp and Telegram work through community bridges, but they aren't first-class. If you live on WhatsApp, this alone probably decides it.

Multi-agent

OpenClaw's central controller can spawn subagents - separate contexts for specific jobs. One agent watching your inbox. Another running a weekly report. A third negotiating with the Toyota dealership. Each has its own memory, its own tool permissions, its own budget.

Hermes runs one agent per binary. You can run multiple binaries and have them talk via its agent-to-agent protocol, but it's a heavier pattern. The design assumes you want one smart agent, not a team of specialists.

For personal use that doesn't matter. For a small business running concurrent workflows, OpenClaw's model scales down more gracefully.

Cost under real load

I ran both on GLM-5.1 for two weeks with the same workload - roughly 40 daily interactions, 3 scheduled jobs, and a weekly summarization task.

• OpenClaw - $6.40 in API costs. Heartbeat pings, subagent spawns, and context refreshes added up.
• Hermes - $4.10. The learning loop caches decisions instead of re-reasoning. Same output, fewer tokens.

Not huge in absolute terms. Noticeable at scale. If you covered the phantom token burn post, Hermes' architecture just doesn't produce as much phantom burn to begin with.

Update cadence

OpenClaw ships weekly - sometimes twice weekly. You're on an update treadmill. Breaking changes, security patches, new features, all mixed together. Miss two weeks and upgrading gets messy.

Hermes releases every 2-3 weeks with clear release notes and a stable API. Fewer breaking changes. The trade-off is that new features - like a better Slack channel - land later.

The r/openclaw thread "Why aren't the OC repo maintainers considering an LTS?" captures the ambient frustration. Hermes quietly already acts like one.

Security posture

OpenClaw has shipped 22 CVEs in 2026 so far, including the April CVE-2026-35639 device-pairing scope bypass at CVSS 8.7. The March breakdown covers the pattern.

Hermes has shipped 3 CVEs, none above CVSS 6.5. Smaller surface area, less code, newer project. The pattern will change as adoption grows, but today the attack surface is meaningfully smaller.

What Reddit actually says

The r/openclaw discussion "Openclaw or Hermes?" surfaced a consistent pattern:

• People who ship for a living keep OpenClaw for the skill catalog.
• People whose agent kept breaking switched to Hermes and didn't go back.
• Nobody runs both long-term. You pick one.

The "Fed up baby sitting Openclaw, found a better Alternative" thread had 200+ comments, most recommending either Hermes or managed hosting. Nobody recommended switching back.

The real decision

Pick Hermes if:

• You're starting from scratch with one agent.
• You mostly use Discord or Slack.
• You want memory that works without configuration.
• You value stability over feature velocity.

Stick with OpenClaw if:

• WhatsApp or Telegram is where you live.
• You need specific ClawHub skills Hermes doesn't replicate.
• You run multi-agent workflows.
• Your setup already works and switching cost is real.

Or skip the decision

This whole comparison assumes you want to host one of these yourself - with the Docker, the updates, the CVE patches, the memory tuning, and the occasional 3 AM alert when a WebSocket dies.

TryOpenClaw.ai runs the OpenClaw stack so you don't have to. You get the skill ecosystem, the messaging channels, and the multi-agent support, without the setup, the updates, or the patch cycle. If Hermes' pitch is "easier to run," managed OpenClaw is easier still: you never run anything.

Full breakdown in the self-hosting vs managed hosting post. Short version: if your time is worth more than $20/hour, managed wins before the first breaking change.

Frequently asked questions

Is Hermes Agent better than OpenClaw?

Hermes is easier to set up and its memory works out of the box. OpenClaw has a much bigger skill ecosystem, more messaging integrations, and native multi-agent. For a single personal agent, Hermes wins on speed. For anything messaging-heavy or skill-heavy, OpenClaw still does.

Can Hermes connect to WhatsApp?

Only through community-built bridges. It's not first-class. OpenClaw ships WhatsApp, Telegram, Discord, Slack, and iMessage as core channels.

Does Hermes use fewer tokens than OpenClaw?

Yes, measurably. In my two-week test on GLM-5.1, Hermes used about 36% fewer tokens for the same workload, mostly because its learning loop caches decisions instead of re-reasoning on every run.

Should I switch from OpenClaw to Hermes?

Only if your OpenClaw setup is failing in a way Hermes would fix - memory bloat, maintenance fatigue, or Discord-only use. If your current setup works, switching costs more than it saves.