The rise of the knowledge engineer in autonomous scientific systems
Why scientific AI needs people who can turn papers, repositories, protocols, and experimental evidence into context that agents can verify and reuse.
Eliminating environment friction for autonomous scientific pipelines
How to turn an unfamiliar scientific repository into a reproducible environment with inspectable dependencies, data, commands, and outputs.
Kalaris Research
The state of autonomous research systems in 2026
A capability review of research agents, reproducible execution, persistent evidence, tool verification, and controls for longer scientific workflows.
A Workers-first foundation for the Kalaris Labs website
How Kalaris Labs combines prerendered Astro pages, static assets, and a small request-time API in one Cloudflare Workers deployment.
Deterministic cloud runtimes for multi-model scientific systems
How ephemeral sandboxes isolate dependencies, preserve execution evidence, and let scientific agents compare runs without inheriting machine-specific state.
In-context recursive synthesis and the limits of stateless agents
How to carry verified claims, failed experiments, and open questions across research runs without turning agent memory into an untrusted transcript.