Long-running AI assistants
An assistant reaches month 18. The model underneath it is retired, but unfinished work, prior decisions and commitments still matter.
Applications
For AI systems
that have to last.
Cairn is meant for situations where losing history, restarting from scratch or being locked to one model becomes a real operational problem.
SYSTEM ONLINE
AGENTS · LONG-RUNNING
BUSINESS · TRACEABLE
ROBOTICS · PORTABLE
RECOVERY · VERIFIABLE
Where this matters / 01
The longer an AI system runs, the more its past starts to matter.
These are examples of where a lost or unreliable history can become expensive, confusing or unsafe.
Business automation
A workflow crosses teams, models and systems. Months later, someone still needs to know what happened and why.
Robotics & autonomous systems
A physical system gets new sensors, new compute or a new model. The hardware changes, but the history should not have to start over.
High-accountability AI
An operator needs to show what changed, when it changed and what evidence supports the current state.
Developer agents
A software agent works across weeks of code changes, permissions, environments, deployments and model upgrades.
Products with built-in continuity
A product keeps its own continuity layer underneath the AI experience so the model can evolve without losing the system history.
CAIRN CONTINUUM
Research