AI should know what happened, what is true now, and what must happen next.
Time Ontology gives TimelineOS a temporal operating model: Historic activity, the present Now point, and Upcoming commitments connected through evidence, decisions, and change.
Business information is not permanently true.
LLMs struggle with time. They treat old facts and new facts with the same weight. Time Ontology ensures every piece of knowledge is bound to a specific point in time.
The Dual Timeline
Not a calendar. A ledger of reality. Historic tracks what actually happened (the evidence). Upcoming tracks what is supposed to happen (the commitment). They meet at Now.
Historic
Immutable records of past events, decisions, and completed agent tasks. The ground truth of your business.
Now
The point of convergence. Where agents execute tasks and planned items become historic evidence.
Upcoming
Scheduled commitments, agent agendas, and planned state changes. Fluid until they hit the Now point.
Built for complex continuity.
TimelineOS is not for generating isolated outputs. It is for organizations and agents that need to maintain context over months and years.
Founders & SMBs
Keep the entire company narrative in one accessible intelligence layer, surviving employee churn.
AI Builders
Build agentic applications on top of a temporal state engine instead of raw vector databases.
Project Teams
Stop losing context between chat, task and document tools. Max tracks the evolution of the work.
Consultants
Maintain longitudinal context for multiple clients without manual documentation overhead.
Agent-Powered Businesses
Give automated agents the historical context they need to make safe, aligned decisions.
R&D Labs
Track hypotheses, experimental parameters and outcomes in a timeline that learns from failures.
Evidence & Action Receipts
When an agent does work, it doesn't just log 'Task Done'. It generates an Action Receipt—a cryptographic-style proof of what was proposed, approved, attempted, and achieved.
- Proposed
- Approved
- Attempted
- Succeeded
Booking Agent — work history
Joined business: 12 August 2026
The record grows with the work. Outcomes, approvals, corrections, failures and future agendas become part of the agent's time-bound history.
Time API for External Agents
Soon, you will be able to grant external AI platforms access to your TimelineOS Time API, allowing them to read your Historic context and write Action Receipts back into your system.
Explore the TimelineOS System
Three connected foundations working as one.