
Open-Source AI Agents Now Have a Home
AI agents are pretty smart, they can write code, browse the web, and run for days on end. Letting them loose on your laptop? Still a terrible idea.
Over the past year, we've watched the agent ecosystem explode. OpenClaw alone crossed 250,000 GitHub stars and 50,000 forks faster than almost any software project in history.
You spin up an agent. It burns through tokens. You have no idea what the bill will be until it's too late. You cobble together sandboxing with Docker, pray your container doesn't get killed mid-workflow, and cross your fingers that persistent storage actually persists. Oh, and security? You're giving an autonomous program access to the internet and a shell. Good luck.
We've been watching this from the inference side for over a year, serving 30,000+ open-source models to tens of thousands of developers. And we kept hearing the same thing:
"I love these agents, but I can't afford to let them run. I have no idea what they'll cost me."
Token anxiety. The fear that your agent will spiral into a loop, chew through your budget, and deliver nothing. It's real, and it's the main reason most agent projects stall after the prototype.
Introducing Managed OpenClaw
Today we're launching a managed runtime for open-source AI agents, starting with OpenClaw.
Here's what you get: a secure, sandboxed environment where your agent can run 24/7 with persistent storage with access to our full catalog of 30,000+ models (Qwen 3.5, Minimax M2.5, Kimi K2.5, and more) and our Featherless signature flat monthly price. Sandbox and Inference included. That's the whole billing model.
We partnered with Daytona to build the sandbox layer. As Ivan Burazin (Daytona's CEO) put it: "Agents need more than just intelligence — they need a place to live and work." Daytona's multi-layer container isolation gives each agent its own secure workspace with persistent storage so it can run multi-day workflows without you babysitting it.
Why We Built This
Featherless started as a research lab. We created RWKV — an open-source foundational model architecture built to challenge transformer dominance — and released fully open-source from day one. Research is in our DNA. We became an inference platform because we saw firsthand that open models were ready for production but the infrastructure wasn't.
We care about OpenClaw — and open-source agents broadly — because we think the stakes are higher than most people realize. Right now, the most capable agent platforms are being built by the same handful of companies that control the models, the data pipelines, and the distribution. This isn't theoretical. We use Claude and Codex every day — they're incredible tools. But the companies behind them are also making decisions about who gets access to AI, at what price, and under what terms. The legal battles alone (training data lawsuits, government contracts, safety policy reversals) show how high the stakes are. Open-source is the only real check on that, and it only works if the infrastructure to run it actually exists.
That's what Featherless is — the neutral layer that makes open AI reliable and usable at scale, without locking you into anyone's ecosystem. No agenda. No opinion on what you build or which models you use.
Managed OpenClaw is the next step in that direction. And as the agent ecosystem evolves — new frameworks, new architectures, new ways of building — we'll be there to support them. Open should always have a place to run. We're building it.
Simple Pricing, No Surprises
We designed pricing around one principle: you should never have to wonder what your agent will cost you.
Standard — $100/month. Full inference access, standard sandbox, persistent storage. Enough for most agent workflows.
Pro — $200/month. Everything in Standard, plus additional model access, browser-use capabilities, and a larger sandbox for heavier workloads.
Enterprise — Custom. Dedicated resources, SLA, and the kind of security review your compliance team needs to sleep at night.
That's the full price list. Run your agent as much as you want — there's no per-token billing underneath.
Try It
Managed OpenClaw is live today. If you've been building with OpenClaw (or any open-source agent framework) and hitting the wall on cost, reliability, or infrastructure complexity — this is what we built it for.
And if you're an agent developer who wants to push the boundaries of what's possible with open models in a managed sandbox — reach out. We want to hear what you're building.
-The Featherless Team