Describe the job in plain English. Agent OS builds the agent, runs it on any of 300+ frontier models, schedules it, chains it with other agents — and meters every cent.
No credit card required · Pay only for what your agents use
One dashboard for building, scheduling, chaining and paying for AI agents.
No flowcharts, no code. Write what the agent should do; Agent OS reviews the brief with you and runs it with full tool access — files, web, shell.
"Every 10 minutes", "weekdays at 9", "until they reply", "stop after 5 runs" — natural-language schedules that survive restarts and never double-fire.
Mention $research inside $writer's brief and Agent OS wires the dependency graph for you — agents run in order and share their results.
Ask for a dashboard and get a working mini-app: agent-generated, backed by live data from your integrations, editable any time.
300+ models across every frontier vendor. Pick per agent, per chat, per task — searchable, sorted, switchable mid-conversation.
Credits in dollars, not tokens-of-mystery. Every message shows its exact cost; your ledger shows every cent. No seats, no minimums.
Type what you need done — audience, cadence, deliverable. Attach files, reference resources with @, other agents with $, integrations with #.
Agent OS reviews your instruction, asks the clarifying questions a good hire would, and locks the final brief.
Live streamed runs, deliverables in your Resources, issues raised when the agent is blocked, and a cost line on every result.
Buy USD credits. Agents consume them per message, at cost-based rates. That's the whole model.
An AI agent platform. You describe an agent's job in plain English; Agent OS runs it with frontier AI models, on demand or on a schedule, with files, integrations and live dashboards.
You buy USD credits and only pay for what your agents actually use, metered per message. No seats, no monthly minimums. Your ledger shows every charge.
Over 300 models across every frontier vendor — pick per agent, per chat, or per task, and switch anytime.
Yes. Say it in plain language — every 10 minutes, weekdays at 9am, until they reply, stop after 5 runs — and Agent OS schedules it, survives restarts, and never double-fires.
Yes. Reference another agent with $name inside an instruction and Agent OS builds the dependency chain automatically, running agents in order with shared results.
Every workspace is a fully isolated tenant: separate files, separate agents, separate engine process, separate billing.
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