Discovery Loop: Automating the Future of Scientific Discovery
Discovery Loop is automating the scientific method through AI and massive-scale computing to accelerate global innovation and solve grand engineering challenges.
Design and engineering of systems that span multiple machines or processes, including consensus protocols, concurrency control, ACID transactions, state replication, and the trade-offs of coordination at scale.
Discovery Loop is automating the scientific method through AI and massive-scale computing to accelerate global innovation and solve grand engineering challenges.

Meerkat is a new consensus service that uses the QuePaxa algorithm to provide globally consistent data without the availability risks of traditional leader-based protocols.

As AI agents shift to asynchronous background work, fragile HTTP connections must be replaced by durable, session-based transport to support long-running tasks and seamless multi-device interactions.
The research advocates for using distributed systems theory as a formal framework to design and evaluate multi-agent LLM teams more effectively.
Stop treating Terraform state like a file—manage it as a graph with ACID transactions to unlock safe concurrency and faster operations.