Memory · Space · Context
Good collaboration compounds
Real work has history, rules, files, and lessons learned. Agents keep useful long-term context, so working together gets smoother over time.
Use subscriptions and APIs together. Put the right model on each task for quality, speed, and cost — across coding, research, visual work, and more.
Models change. Your way of working should not have to start over.
Different tasks need different team shapes. Agents can maintain their own relationships—you stay focused on whether the problem is solved.
Example · coding delivery
A common pattern—a strong model plans and coordinates, faster and cheaper models build in parallel, and a specialist model reviews before release. Not the only way to run a multi-agent team.
Start in chat or on the task board with what you want done.
A strong model plans the work and assigns each role to the right agent.
Faster, cheaper models handle UI, logic, and data at the same time.
A specialist model checks quality and sends work back until it passes.
Once it passes review, the output is released and ready to use.
Real work has history, rules, files, and lessons learned. Agents keep useful long-term context, so working together gets smoother over time.
No model is best at everything. Use stronger models for important judgment, faster and cheaper agents for routine execution, and adopt new models as they improve.
Nolo does more than execute. It respects your intent and choices while surfacing alternatives, risks, and possibilities worth considering.
Attention is finite. Nolo keeps routine complexity in the background and asks for your judgment only where it truly matters.
Set the role, capabilities, and models—minutes later you have a partner to work with. It can deliver docs, pages, images, and video, not just chat.
Build a partnerSet your rules once. Context carries across sessions and gets more aligned over time.
Define the role, attach knowledge and skills, then enable search, docs, MCP, and more.
Use platform models, your API keys, or CLI agents per task. The same agent can ship docs, pages, images, and video—not chat alone.
Docs, apps, images, video, and 3D—give an idea, build it together.
For people already playing with agents and trying to ship real work—not just prettier prompts.
Yes. Rules, attached knowledge, and dialog history stay on the agent. When multiple agents collaborate, context flows as needed instead of restarting from zero every task.
Nolo’s client source is public. Official desktop release metadata records the exact public repository commit used for the build and the SHA-256 of each artifact.
AI can research, execute, compare, verify, and move in parallel.
Why you do it.What good looks like.What you truly want to create.
That remains yours.