Juggling AI windows yourself
- Copy context between tabs by hand
- Paste output into another model to check it
- Start over when a subscription hits its limit
- Conclusions scattered across chat logs
Your own subscriptions or API keys · Open-source client
They split the task, work in parallel, talk it over and check each other's work. You choose the model for every step, and which connected computer runs it.
What you do across tabs today becomes one conversation with agents you define.
Each agent keeps its name, role, model and memory, and gets to know you better the more you work together. Call it next week and it is still the same one.
Tell it once to answer in English and lead with the conclusion, and it already does so in a brand-new conversation. Switch models and you don't start over.
When one finishes, the next one picks it up, and you can have a model from another vendor check the work. Say one sentence, then go do something else.
Which model takes each step, and where it runs. Models: your subscriptions, your own API keys, or local models. Machines: your Mac, your Linux box, your own server.
Split a task across agents, send one question to several models at once, or have them answer on their own and then cross-check, with disagreements kept on the record. No flowchart to draw.
A common pattern: a strong model plans, other agents build in parallel, an independent agent reviews, and work goes back until it passes. Not the only way to run a team.
Three things are already true for many people who use AI every day.
Many people already pay for several AI subscriptions or keys, each good at something different. What's missing is a way to make them work together.
An agent can now take a whole piece of work from plan to checked result on its own. Handing off between agents is the next step.
A laptop, a desktop, a server, a phone. The work should run where your files and tools already are.
AI can research, build, compare, check, and move in parallel.
Why you do it.What good looks like.What you truly want to make.
That stays with you.
Open-source client · Releases match public source · Your subscriptions or BYOK · View source
Those add abilities to one agent. Nolo runs a team: who does the work, whose subscription pays for it, which computer it runs on, who picks it up next, and who reviews it.
Worth shipping the MVP first, or talking to users first?
Worth shipping the MVP first, or talking to users first?
Should we prioritize growth or profitability this quarter?
Should we prioritize growth or profitability this quarter?