Getting a capable AI agent off the ground is rarely the problem. The problem is everything that comes after: finding the right compute, wiring up inference, keeping the environment secure and stable enough to actually do useful work. Hermes Agent by Nous Research is now live in the Featherless agent marketplace, fully managed, one click to launch, with none of that to worry about.
No compute to hunt down. No API keys to wire up manually. No local environment to maintain. You get a persistent Hermes runtime backed by Featherless inference, with flat monthly pricing and no per-token billing underneath.
What Is Hermes Agent?
Hermes Agent is an open-source autonomous agent built by Nous Research, the lab behind the Hermes model series, Nomos, and Psyche. It is not a coding copilot tethered to an IDE. It is not a chatbot wrapper around a single API. It is a persistent agent that runs on a server, learns your projects across sessions, builds its own skills from experience, and gets more capable the longer it runs.
What Hermes Agent Can Do
Hermes lives where you do: Telegram, Discord, Slack, WhatsApp, Signal, Email, and CLI from a single gateway process. Start a task in your terminal, pick it up from your phone. The context moves with you.
The longer it runs, the more useful it gets: Persistent memory and auto-generated skills mean Hermes learns your projects and never forgets how it solved a problem. You stop re-explaining context. It starts from where you left off.
Scheduled automations run unattended through the gateway: Natural language cron scheduling for reports, backups, and briefings. Tell it what you need and when, and it handles the rest.
Complex tasks get broken down and handed off: Isolated subagents with their own conversations, terminals, and Python RPC scripts handle complex pipelines in parallel, each running in its own context so nothing bleeds into the main thread.
It has real sandboxing: Six execution backends: local, Docker, SSH, Daytona, Singularity, and Modal. Container hardening with read-only root, dropped capabilities, and namespace isolation. Your code runs in a proper, secure environment.
It has full web and browser control: Web search, browser automation, vision, image generation, text-to-speech, and multi-model reasoning, all built in. This is not a minimal agent that needs heavy extension before it is useful.
In total, Hermes ships with 40+ built-in tools covering web search, terminal access, file system management, code execution, subagent delegation, memory, task planning, cron scheduling, and more. It also bundles skills covering MLOps, GitHub workflows, and research workflows out of the box. Beyond those, the agent creates new skills on the fly and shares them via the open agentskills.io format. Community skills are available through ClawHub, LobeHub, and GitHub.
On Featherless, Hermes has access to the full catalog of 30,000+ open-source models. Switch between them with hermes model at any time, no code changes, no lock-in.
How to Launch Hermes Agent on Featherless
If you already have a Featherless account, go to the agent marketplace, select Hermes Agent, and launch.Inference, sandbox, persistent storage, and runtime are all included in your plan. Nothing to connect, nothing to configure.
If you are new to Featherless, sign up, pick a plan, and you can have a running agent in under five minutes.
Pricing
Same structure as Managed OpenClaw. Flat monthly rate, no per-token billing.
Standard at $100/month: One agent runtime, full inference access, standard sandbox, persistent storage.
Pro at $200/month: Everything in Standard, plus additional model access, browser-use capabilities, and a larger sandbox for heavier workloads.
Enterprise pricing is custom: Dedicated resources, SLA, and a proper security review for teams that need it.
More Agents Are Coming
Hermes Agent and OpenClaw are the first two entries in the Featherless agent marketplace. The pattern behind each one is consistent: open-source agents that are production-ready, hosted on independent infrastructure, running on open models, with pricing that makes sense for real workloads.
The marketplace will keep growing. If you are building on an open-source agent framework and want a managed runtime for it, reach out. We want to hear what you are working on.
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