OpenClaw vs Hermes Agent 2026: Latest Versions Compared

In the final days of August 2026 the two biggest open-source, self-hosted AI agents shipped major releases within three days of each other: Hermes Agent v0.21.0 (the Pantheon release) on 31 August, and OpenClaw v2026.9.1 on 3 September. If you read our earlier head-to-head in May, treat it as history. Both projects are now among the most-starred repos on GitHub, both receive commits every day, and both have grown into clearly different tools.

OpenClaw is built to be the assistant you reach from anywhere: connect your chat apps and it works for you on your own machine. Hermes Agent is built to be the agent you work beside: it lives in your terminal and desktop as much as in your chat apps, and it gets better at your work over time. Here is what the current versions actually ship, and how to pick between them.

Both are free under the MIT license and run on hardware you own. The versions and numbers below were checked against the official openclaw/openclaw and NousResearch/hermes-agent repositories on 5 September 2026.

Released 3 September 2026. The theme is polish and reach: the gateway gets more reliable, and the apps you use every day get closer to the web dashboard.

• Native apps everywhere. The macOS, iOS and Android apps now match the web Control UI, and Mermaid diagrams render inside chats on all of them, with enlarge previews on mobile.
• Setup in one prompt. A fresh install detects existing Claude Code or Codex logins and API keys, verifies them live, and opens the dashboard. No config hunting before your first chat.
• Personal skill libraries on shared gateways. You can keep your own skills beside the workspace set with openclaw skills library, import them from ZIP archives, and share them per identity on team gateways.
• Approvals that reach you. When the agent proposes a config change or gateway restart, the approval card is delivered to the chat you are actually in, Telegram topics included, instead of stalling silently.
• Updates that cannot strand you. openclaw update rolls back if the post-update check fails, preserves your configuration and secrets across a failed upgrade, and hands failures to a built-in triage agent.
• A gateway that stays up. Startup now recovers under load and with large agent rosters, malformed legacy cron rows are quarantined instead of blocking boot, and local model servers become the preferred victims when memory runs low.

Released 31 August 2026, codenamed Pantheon, about 5,800 commits after the previous release. The theme is agents as a team: bots that talk to each other, remember between scheduled runs, and can be steered while they work.

• Bot Mode. The desktop app now ships with a society of named agents, each with its own face, plus Discord-style group chats where several bots and you talk in one room and @-mention each other. Multi-agent without plumbing.
• Bots that talk to bots. hermes peer lets any agent message any other by handle, across profiles and gateways, with replies kept in a durable chat log you can inspect.
• Scheduled jobs with a memory. Cron agents now load and update persistent memory like every other agent, can carry each run's output into the next, and monitor jobs skip the model entirely when nothing changed. A morning briefing job knows what it told you yesterday.
• Steerable subagents. You can list running subagents, send a course correction mid-task, or stop one early and keep the partial result. Delegation now reports the cost of each task.
• An MCP command center. Every MCP server you run appears on one desktop page with health checks, re-auth nudges before a tool call fails, and a cost and usage overlay.
• The agent drives the desktop browser. It can navigate, click and read pages in the built-in browser, or hand a page to your system browser with full link context.
• More models, harder security. Six new providers and a catalog refresh added GLM-5.3-Flash, Qwen 3.8, Gemini 3.7 Flash, a free MiniMax M3 tier and more. The agent now needs approval to rewrite its own AGENTS.md, skills or memory files, and a redaction sweep closed secret-leak gaps across logs and errors.

The job. OpenClaw is an assistant platform: many agents, many channels, one gateway, controlled from a dashboard or your phone. Hermes is one agent core that follows you across surfaces, and it is strongest where you already do deep work: a terminal, a desktop app, an IDE.

Memory and learning. OpenClaw keeps the file-based setup that made it famous: AGENTS.md for instructions, SOUL.md for personality, MEMORY.md for long-term notes. Transparent, easy to edit, easy to back up. Hermes stores memories in a persistent store injected into every session, and goes one step further: after a hard task it can write a skill, a reusable procedure in the SKILL.md format, and load it the next time the task appears. That compounding effect is the main reason long-time users say Hermes feels smarter each month.

The skill ecosystem. OpenClaw offers a large installable library plus the new personal skill libraries on shared gateways. Hermes ships many bundled skills and a hub too, but its differentiator is the agent authoring skills itself rather than only installing them.

Automation. Both run scheduled jobs. The current gap is context: Hermes cron jobs carry memory and continuity between runs, while this OpenClaw release focused on making its scheduler and gateway bulletproof rather than adding job memory.

Multi-agent style. Both support several agents at once. OpenClaw's model is a shared gateway with many identities and team approval flows. Hermes adds live-steerable subagent delegation plus Bot Mode group chats, so its multi-agent world looks like a team chatting in your desktop app.

Models. Both accept any provider: OpenAI, Anthropic, Google, xAI, DeepSeek, Qwen or a local model server. Hermes ships a maintained catalog with context windows and pricing built in, and a model_overrides setting to patch any model yourself. OpenClaw's model setup now shows clearly how you are signed in for each provider, account versus API key.

Pick OpenClaw when you live inside chat apps and want the assistant wherever you already message: WhatsApp, Telegram, iMessage, Discord, Slack. When you want a native phone app and a web dashboard, several agents or identities on one shared gateway, the big installable skill library, or the fastest possible install with Node tooling.

Pick Hermes Agent when you want an agent that remembers you between sessions and writes its own skills, so your recurring work gets faster. When you work in a terminal or desktop for coding, research or operations and want one agent across CLI, desktop and chat. When you need scheduled jobs that keep context between runs, or you want several specialist agents that talk to each other.

For readers in Singapore the practical differences are cost and hardware. Both projects are free; your only recurring bill is the model API, and pairing either with DeepSeek, Qwen or a free-tier model keeps personal use at a few dollars a month. Both run on a low-power mini PC or an old laptop at home, so you get an always-on assistant without renting a cloud server. And because the software runs on your machine, your files and chat history are not feeding a vendor's product; the only data that leaves is what you send to whichever model provider you chose.

Still torn? Let a chatbot interview you

I want to self-host an AI assistant and I am choosing between OpenClaw and Hermes Agent. Ask me five short questions about how I actually work: which chat apps I use daily, whether I live in a terminal or IDE, whether I need phone access, how much I mind API costs, and whether I want the agent to remember and improve over time. Then recommend one and give me three first steps.

If you go the OpenClaw route first, our step-by-step OpenClaw deployment guide walks through the whole install. For the Hermes route, start with our Hermes Agent intro and setup guide.

There is no overall winner, and pretending otherwise would not help you choose. OpenClaw is the better companion: more chat platforms, native phone apps, a faster install and an enormous community. Hermes Agent is the better worker: memory and self-authored skills compound over time, scheduled jobs carry context between runs, and it is equally at home in your terminal, your desktop and your chat apps.

Try the one that matches your habits first, and know the exit is cheap. Hermes ships an official importer, hermes claw migrate, that moves an OpenClaw setup across: persona, memory, skills, custom providers and API keys. Its setup wizard even offers this automatically when it detects an existing OpenClaw folder, so the two projects are closer to siblings than rivals.