RUNTIME LABS
About
Runtime Labs develops Óra, a personal timeline for planning and human-agent collaboration. We anchor language models in time so natural language stays grounded with real-world event schedules.
Our work is grounded in two convictions: grounding in event structure increases reliability and utility of model outputs, and time is a foundational primitive for memory, planning, and deterministically mapping language intent and planning with actions.
We have deployed Óra as an environment where humans and agents share context on events in time, providing a shared surface for reasoning across past, present, and future.
Research
We build systems to enable models to reason in time, keep persistent context, and work from structured representations of events. We focus on temporal indexing, memory persistence, and context retrieval so models can interpret past activity, manage future plans, and respond and schedule coherently within an evolving timeline.
Our research focuses on environments that support planning and human-agent coordination through time, where temporal understanding and shared context between human activity and models keep responses grounded and behavior reliable.
Product
Óra is built as a planning environment where models operate on persistent, time-structured state. Context for planning is preserved as timestamped events anchored in time and location, with relevant photos and links for each event. Concretely, Óra offers version control for your schedule and conversations on a stateful timeline.
You plan with natural language and images; models interpret intent, propose events for preview and approval, and update your timeline. The system state stays continuous and aligned in time with you across past activity and forward-looking plans.