World Congress 2026 North America
DeepAgents: Build Multi-Agent AI Systems That Actually Work
Anagha Rumade, Anjana Umapathy, Apoorva Jaiswal
World Congress 2026 North America
World Congress 2026 North America
September 23–25, 2026 · San José, CA
Attend in person
Get ticketsWatch remotely
Pro
Can’t make it to San José? Watch this session live with Pro. You also get:
Most AI agents move files. Ours run machines.
Loominus Studio is an AI workbench. You use it to build agents that work alongside people to design and make real things: materials, formulations, devices. The jargon for this is collaborative cyber-physical agents. The plain version is agents with hands.
What you build is a harness. A harness is everything an agent needs to do real work: the tools it can reach, the steps it follows, what it remembers, what it is allowed to touch. Coding agents have harnesses. That is why they work. Labs and factories have none.
You build one by wiring nodes into a graph. Each node is a step or a tool: run this machine, mix this batch, ask a person to check, measure the result, pick what to try next. Wire them together and the agent runs the loop.
Two things matter about these harnesses.
Configurable: no two labs work the same way, so you build yours instead of buying someone else’s.
Portable: build it once, run it on someone else’s machines. Your process should not be locked to one vendor’s box.
We use it ourselves. MetaLab is a harness for making formulations. BioLoom is a harness for printing parts. Same workbench, different graph.
Five minutes on why the loop that made coding agents work is the same loop every lab runs, why nobody built the workbench for it, and what that changes for the bioeconomy age, when the things ahead of us have to be made, not just written.
World Congress 2026 North America
Anagha Rumade, Anjana Umapathy, Apoorva Jaiswal
World Congress 2026 North America
Andreas Erben
CTO for Applied AI and Metaverse at daenet
World Congress 2026 North America
Li Yin
CEO
World Congress 2026 North America
Michael Yuan, Vivian Hu