AI agents.
Your VM.
Your rules.
Each user gets a dedicated Firecracker microVM running an autonomous agent with full browser control. Community skills. Zero shared state.
Same outcomes. 50× less friction.
| /// dimension | human VA ($1500/mo) | RapidClaw ($29/mo) |
|---|---|---|
| onboarding | 2–4 weeks of training | pick a template, ship in 5 min |
| hours | 8h/day · weekdays | 24/7 |
| languages | usually one | all of them |
| skill swap | rehire | install in 1 click |
| audit trail | "trust me" | every action logged + replayable |
| scale | hire another human | spin up another agent |
We're not better than a human at every task. We're better at the 80% that doesn't need one.
Three steps. Your agent runs.
VM boots
A dedicated Firecracker microVM spins up in <2s. Playwright pre-loaded. Your session, fully isolated.
Skills load
Your skill bundle fetches from R2. No image rebuild. Skills hot-swap between sessions.
Agent runs
The OpenClaw runtime executes tasks. Every action logged. Full replay on demand.
Built different. On purpose.
Per-user isolation
One VM per tenant. No noisy neighbors. No shared state. Firecracker-grade security boundary.
Skills marketplace
Community-built skill bundles. Hot-loaded from R2. Install, update, or fork without rebuilding images.
Audit log + replay
Every action recorded. Full session replay. Your users see exactly what the agent did and why.
Multi-model routing
Claude, GPT, Gemini, Nemotron. Route by cost, capability, or latency. Swap models without redeploying.
Trusted by builders.
“We replaced a $3k/mo VA with RapidClaw. It handles email triage, calendar management, and weekly reports — at 1/100th the cost.”
“The per-user isolation is a game-changer for our compliance team. Every agent action is auditable. We passed SOC 2 with zero findings.”
“I spun up an agent that monitors competitor pricing across 12 sites daily. Took 15 minutes to configure. Used to be a manual morning task.”
Simple. Usage-based.
4-axis credit metering: tokens · hours · actions · dollars. Pay for what you use.
Common questions.
How is this different from ChatGPT or Claude?+
ChatGPT and Claude are shared SaaS — you get a chat window, not an agent. RapidClaw gives each user a dedicated microVM with a full browser, persistent memory, and the ability to take actions on your behalf. It's the difference between asking a question and delegating a task.
What happens to my data?+
Your agent runs in an isolated Firecracker microVM. No other tenant shares your compute. Conversations and audit logs are stored in your tenant's private database. You can export or delete everything at any time.
Can I use my own models?+
Yes. RapidClaw routes through LiteLLM, which supports 100+ model providers. Bring your own OpenAI, Anthropic, Google, or self-hosted API keys. You can also set per-agent model preferences.
What are credits?+
Credits are our usage metering unit. One credit ≈ one agent action. The free tier includes 1,000 credits. Pro includes 50/day. Unused credits don't roll over. You can top up anytime.
Is there an API?+
Yes. The public API (v1) lets you create agents, send messages, and manage skills programmatically. API keys are scoped per-tenant with granular permissions. See the docs for the full reference.
How do skills work?+
Skills are community-built bundles that extend your agent's capabilities — think browser automations, API integrations, or data pipelines. Install from the marketplace with one click. They hot-load into your VM without any rebuild.
Your agent. Your VM. Now.
1,000 credits free. No card. Ship your first agent in minutes.