Now in early access
Agents that work while you sleep.
Agents that work while you sleep—monitoring, integrating, acting autonomously. No prompts. No manual steps. No supervision.
What you can do
Built around how you actually think, not how engineers diagram.
Describe it. It builds itself.
No flowcharts. No node editors. Just tell Onnebo what you need your agent to do, in your own words, at whatever level of detail feels right. Your agent assembles itself from the conversation: its role, its tools, its boundaries. Revise it the same way. Talk to it, reshape it, launch it.
Average setup time in beta: under 4 minutes from first message to working agent.
Every correction makes it sharper.
Onnebo agents don't just execute, they adapt. When you flag a response that missed the mark or approve one that nailed it, your agent internalizes the pattern. Over time, it learns your preferences, your edge cases, and your standards. You're not configuring a tool. You're training a colleague.
No retraining. No prompt engineering. Just use it and it gets better.
Set the boundaries. Move them when you're ready.
Control how your agent communicates, terse or thorough, technical or plain. Define what it can do on its own and what requires your sign-off, per action type. Decide which data sources and external tools it can access. Everything defaults to sensible, safe settings. Adjust only what matters to you.
Permission thresholds are per-action, not all-or-nothing. Approve emails but auto-run research, your call.
One agent is useful. A coordinated team is powerful.
Build specialized agents for different jobs, research, drafting, analysis, scheduling, and let them hand off work to each other. Onnebo manages the coordination so you don't have to. Your lead agent delegates, your sub-agents deliver, and you stay in control of the whole operation.
Think manager and direct reports, not a single overloaded assistant trying to do everything.
Pricing
Free during beta.Every plan is fully unlocked while we're in early access. Join the waitlist and build without limits until general availability. After beta: 7-day free trial (credit card required).
Starter
Up to 5 agents
2,000 tokens / month
- Conversational agent building
- Feedback-driven agent improvement
- Granular permission controls
- Smart model routing
- BYOK or Onnebo-provisioned tokens
- Community support
Pro
Up to 15 agents
30,000 tokens / month
- Everything in Starter, plus:
- Multi-agent orchestration
- Agent-to-agent delegation
- Priority model routing
- Advanced customization (verbosity, tone, data access per agent)
- Email support
Business
Unlimited agents
150,000 tokens / month
- Everything in Pro, plus:
- Unlimited agent creation
- Team collaboration (coming soon)
- Dedicated support
- Early access to new capabilities
- Custom model configuration
Annual discount
Save 2 months when you pay yearly. Starter: $50/yr, Pro: $490/yr, Business: $1,800/yr.
Token costs
Your agents use LLM tokens when they work. If you bring your own API keys, token costs are billed directly by your provider at their standard rates. Onnebo adds nothing on top. If you prefer not to manage keys, Onnebo-provisioned tokens are available at the same base rates as the underlying providers, with usage visible in your dashboard.
What counts as an agent?
An agent is a distinct, configured assistant with its own role, permissions, and memory. Sub-agents created through orchestration count toward your total. Deactivated agents don't count.
Who's building this
I spent years working inside government, trying to make complex systems work for the people they're supposed to serve. I saw what happened when powerful tools were locked behind technical barriers: the people with the best judgment got the least access. Onnebo exists because I believe the same thing is happening with AI agents. The people who know their work best shouldn't need an engineering team to automate it.
I got tired of re-explaining context to every AI tool I used. The instructions were fine, the output was fine, but nothing carried over. Next run, same mistakes. The missing piece was always the same: context that persists and feedback that actually changes behavior. That's the bridge we're building at Onnebo.
Why Onnebo
Your agent. Your rules. As simple or sophisticated as you need it to be.
Most agent platforms hand you a template and call it done. You get someone else's idea of what an assistant should be, pre-built, pre-limited, and impossible to adjust when your needs don't fit the mold.
Others give you a blank canvas with a steep learning curve: drag nodes, wire connections, manage API calls, and hope you configured it right. You didn't need a computer science degree before, and you shouldn't need one now.
Onnebo is different. Start by describing what you need in plain language, and your agent builds itself around your words. Accept the defaults and you're running in minutes. But every parameter is yours to adjust: how your agent speaks, what it's allowed to do without asking, which models it uses, and how it spends your tokens. No ceiling. No complexity tax.
FAQ
A raw LLM is a single conversation that forgets everything when you close the tab. You start from scratch every time. Onnebo agents are persistent. They have a defined role, memory of your preferences, access to the tools you've granted, and they improve based on your feedback. A ChatGPT conversation is calling a taxi. An Onnebo agent is hiring a driver who learns your routes.
Yes. You define per action what an agent can do autonomously versus what needs your approval. You control which data sources it can read, which external tools it can interact with, and what kinds of outputs it can produce. Nothing is open by default. Agents start with minimal permissions and you expand them as trust builds.
You set approval thresholds per action type. If your agent drafts an email, you can require it to show you the draft and wait for your sign-off before sending. If it's doing background research, you can let it run autonomously. The threshold is yours to set per action, not a global on/off switch.
Get early access
Join the waitlist and be among the first to build agents that work while you sleep.