Aramb is the operating system for AI agents. Hire AI agents or build your own with one line of code ( npm install @aramb-ai/sdk ) — then launch and monetize in 20 minutes. One API for runtime, memory, browser, tools, models, and billing.
We built aramb because shipping one agent meant signing up for nine different products.
A model provider. A voice API. A browser infrastructure vendor. A sandbox provider. A vector DB. An integrations platform. A metering service. Then Stripe. Then a Redis to hold it together.
Nine SDKs. Nine sets of keys. Nine rate limits to reason about. Nine invoices at the end of the month — and none of them agree on what a "session" is. You spend two weeks on integration plumbing before you write a single line of the thing that's actually yours.
Every agent product converges on the same seven services. So we stopped rebuilding them and made them primitives:
- Agent — any model, any provider. Route on price, latency, or intent. Swap without a rewrite. - Voice — sub-400ms realtime. Whisper, ElevenLabs, Cartesia, Deepgram behind one interface. - Browser — headless Chrome that survives captchas, logins, and 6-hour sessions. - Sandbox — ephemeral Linux boxes, fenced per end-user, metered by the second. - Memory — vector + episodic + semantic on one query surface. No RAG plumbing. - Tools — 3,000+ integrations, pre-authed. OAuth, refresh, retries, rate limits: solved once. - Billing — every primitive emits a usage event. Pipe it to Stripe, Paddle, or your own ledger.
One API. One key. One bill. You bring the knowledge — a system prompt, a playbook, your domain. We handle the runtime.
Six lines to your first agent. Usage streams straight to your ledger.
The part we're most proud of: per-tenant metering. Every session is tagged to an end-user id, so you can rebill your own customers on day one instead of month six. Plus ATK (Aramb Token Kompressor, patent pending) — prompt and context compression that cuts token spend up to 50% for the same output.
Pricing: free tier with upto 5,000 credits/mo, then $19 for solo builders and $49 for teams. One shared credit pool, no per-seat fees — unlimited teammates, agents and projects. Idle agents cost nothing.
We're in private beta and genuinely want to be argued with. Which of the seven did we get wrong? Which one would you rip out and replace with your own?
What made me stop scrolling was the start making money part. Part of me wants to try using this. But your website did not load, so it sounds too good to be true.
Cool app! Tried it out! Love that everything is kept in one place and people can start earning right away. What has been the most surprising thing someone has built with it so far?
About Aramb on Product Hunt
“Build, launch and monetize your AI agents in 20 minutes”
Aramb launched on Product Hunt on August 28th, 2026 and earned 127 upvotes and 5 comments, placing #8 on the daily leaderboard. Aramb is the operating system for AI agents. Hire AI agents or build your own with one line of code ( npm install @aramb-ai/sdk ) — then launch and monetize in 20 minutes. One API for runtime, memory, browser, tools, models, and billing.
Aramb was featured in Productivity (659.3k followers), Artificial Intelligence (477.1k followers) and Tech (631.1k followers) on Product Hunt. Together, these topics include over 440.9k products, making this a competitive space to launch in.
Who hunted Aramb?
Aramb was hunted by Ganesh J. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Aramb stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Ganesh J
Hey Product Hunt 👋
We built aramb because shipping one agent meant signing up for nine different products.
A model provider. A voice API. A browser infrastructure vendor. A sandbox provider. A vector DB. An integrations platform. A metering service. Then Stripe. Then a Redis to hold it together.
Nine SDKs. Nine sets of keys. Nine rate limits to reason about. Nine invoices at the end of the month — and none of them agree on what a "session" is. You spend two weeks on integration plumbing before you write
a single line of the thing that's actually yours.
Every agent product converges on the same seven services. So we stopped rebuilding them and made them primitives:
- Agent — any model, any provider. Route on price, latency, or intent. Swap without a rewrite.
- Voice — sub-400ms realtime. Whisper, ElevenLabs, Cartesia, Deepgram behind one interface.
- Browser — headless Chrome that survives captchas, logins, and 6-hour sessions.
- Sandbox — ephemeral Linux boxes, fenced per end-user, metered by the second.
- Memory — vector + episodic + semantic on one query surface. No RAG plumbing.
- Tools — 3,000+ integrations, pre-authed. OAuth, refresh, retries, rate limits: solved once.
- Billing — every primitive emits a usage event. Pipe it to Stripe, Paddle, or your own ledger.
One API. One key. One bill. You bring the knowledge — a system prompt, a playbook, your domain. We handle the runtime.
const session = await aramb.run({
system_prompt: "./triage-playbook.md",
user: "u_812",
agent: "gpt-5-thinking",
voice: { provider: "cartesia" },
browser: { persist: true },
memory: "episodic",
tools: ["gmail", "stripe", "linear"],
meter: "per_user",
});
Six lines to your first agent. Usage streams straight to your ledger.
The part we're most proud of: per-tenant metering. Every session is tagged to an end-user id, so you can rebill your own customers on day one instead of month six. Plus ATK (Aramb Token Kompressor, patent
pending) — prompt and context compression that cuts token spend up to 50% for the same output.
Pricing: free tier with upto 5,000 credits/mo, then $19 for solo builders and $49 for teams. One shared credit pool, no per-seat fees — unlimited teammates, agents and projects. Idle agents cost nothing.
We're in private beta and genuinely want to be argued with. Which of the seven did we get wrong? Which one would you rip out and replace with your own?
First 500 hunters get a free month of Studio 🎁
— the aramb team
[email protected]