About
Runtime Labs is a product and research company focused on designing infrastructure and interaction models that anchor language models in time, location, and context. Our work is grounded in the conviction that language model outputs become materially useful when constrained by real-world structure, and that time is a core primitive rather than metadata.
Óra is our first release. It serves as a scheduling engine and interaction surface where natural language conversations, memory, and events coexist on a shared timeline. Users can create events, manage context, and engage with language models in ways that produce persistent, actionable plans grounded in real-world constraints.
Óra is available now.
Create an account →Runtime Labs is building toward a new class of systems where language models function as persistent, time-aligned collaborators — capable of reasoning across past, present, and future state — and where scheduling, memory, and planning are unified within a single coherent interface.
Research
We develop infrastructure that enables language models to reason over time, maintain persistent context, and operate on structured representations of real-world events. This includes systems for temporal indexing, memory persistence, and context retrieval that allow models to interpret past activity, manage future plans, and respond coherently within an evolving timeline.
This research makes it possible for language models to function reliably in scheduling and planning environments, where correct behavior depends on understanding temporal relationships, user intent, and shared contextual state.
Product
Óra is built on Runtime Labs' temporal infrastructure, enabling language models to operate on persistent, time-structured state rather than isolated prompts. Outcomes are durable and live on a continuous timeline anchored in real-world time and location.
Users can plan and manage their schedules through natural language conversation. Language models interpret intent, propose structured events for approval, and update the timeline accordingly. Each interaction contributes to a persistent system state that maintains continuity across past activity and future plans.
By grounding language model interaction in temporal structure and shared context, Óra transforms conversation from a transient interface into a reliable system for planning, scheduling, and managing real-world commitments.
Conversations & Scheduling
Plan, schedule, and revise events through natural language; conversations and events live on a shared timeline.
Notes & Memory
Save notes and context to your timeline for retrieval and to inform future planning.
Shared Context
Notes, conversations, and events remain connected within a unified timeline.
Time
Create and manage events anchored in time with your schedule.
Location
Attach locations to events and discover relevant activity.
Image
Attach images to events and notes for visual reference and context.
Search
Find events, media, and information through web and timeline search.
Discover
Explore new events, media, and activities aligned with your schedule and interests.
Integrations
Connect external services and platforms to coordinate events across systems.
Values
- We build systems and infrastructure designed for long-term interaction, not short-term optimization.
- We treat time, memory, and context as foundational primitives in human–computer interaction.
- We prioritize user sovereignty, ensuring individuals remain in control of their data, context, and systems.
- We operate with discipline and urgency, prioritizing meaningful progress over visible activity.
- We maintain an open intellectual environment where ideas are tested and validated through real-world use.