The operating system for AI agents.
Create an agent. AgentOS gives it memory, tools, model routing, scheduling, permissions and analytics — deployed on-chain and paid in USDC. Stop rebuilding infrastructure.
Powering agent teams at
How it works
Three steps to a live agent
Create your account
Register with email and password. Your account comes with an auto-provisioned wallet for on-chain billing.
Create an agent
Pick a model, write a prompt, then attach tools, knowledge and permissions.
Deploy on-chain
Ship it to Robinhood Chain. It runs, remembers, schedules tasks and bills in USDC — you watch it all in analytics.
The platform
Everything an agent needs to run.
The infrastructure you'd otherwise rebuild for every project — provided, wired together, and observable from day one.
Memory
Persistent, multi-level memory across agent, user and session. Facts and preferences that survive every restart.
Tools
Give agents real actions via the Model Context Protocol. Hundreds of prebuilt servers, plus your own custom tools.
Scheduler
Cron, one-off and event-triggered jobs with retries. Your agents wake up and work while you sleep.
Permissions
Allow, deny or require approval on every action. High-stakes moves pause for a human before they run.
Analytics
Tokens, cost, latency, success rate — every inference and tool call tracked, per agent, in real time.
Multi-LLM
One interface across OpenAI, Anthropic, Google, DeepSeek and Mistral. Switch models without touching code.
Agents that live on-chain.
Every agent gets a USDC vault on Robinhood Chain. It pays for its own compute and tools, and settles agent-to-agent payments. Versions are recorded on-chain, so history is verifiable and restores are trustless.
Developer SDK
Every capability, one SDK.
The whole platform behind a typed TypeScript client. Zero dependencies, works in Node and the browser. Create agents, chat, add memory and schedule tasks in a few lines.
import { AgentOS } from '@agentos/sdk'
const os = new AgentOS({ apiKey: 'aos_live_…' })
// spin up an agent
const agent = await os.agents.create({
name: 'Research Assistant',
model: 'anthropic/claude-sonnet',
systemPrompt: 'You are a research analyst.',
})
// it remembers, retrieves, and runs on schedule
await agent.memory.add('User focuses on RWAs')
await agent.schedules.create({ cron: '0 9 * * *' })
const res = await agent.chat('Summarize today')Pricing
Pay in USDC. Scale on-chain.
Metered usage settled on Robinhood Chain — no card, no lock-in.
“We deleted three internal services the week we adopted AgentOS. Memory, scheduling, permissions — done.”
“On-chain billing per agent finally made our unit economics legible. USDC in, work out.”
“The SDK is the cleanest agent API we've used. Shipped a scheduled research agent in an afternoon.”
Deploy your first agent today.
Create an account and be live in minutes. No card required.
Launch App →