New AI System Makes Work Smarter and More Reliable
Imagine your AI assistant never crashes again — even if one part fails
Logos is a cross-process agent harness, described as ROS-like, in which each plugin runs as its own process and the only shared state is an append-only transcript. Building on the spatiotemporal-composability calculus and four lemmas, the paper shows that an agent need not be bound to a single process. In tests, eighty sessions resumed with no repeated effects after kills at the four tool-call boundaries, and in a same-fault comparison, a single-process reference configuration let one fault interrupt every co-resident session, while the peer-process construction contained the fault at one node.
- Logos is a new way to make AI assistants more reliable by splitting tasks into separate, independent parts
- If one part fails, the rest keep working, unlike current AI tools that often crash entirely
- Tested by simulating crashes, Logos kept working with no repeated errors, even when parts failed
Why It Matters
Could make AI tools more reliable for daily use, saving time and frustration from crashes