Understanding intelligence by building with it.

Valhalla Protocol investigates the capabilities, limitations and architectures of intelligent systems. We study how agents reason about objectives, use tools, retain context and coordinate work — and what it takes to make these systems reliable in practice.

The problems behind intelligent systems.

Our research spans the components of intelligent systems and the relationships between them. The questions are technical; the goal is to understand what works, where systems fail and what needs to change.

AGENTS

How can systems pursue objectives across multiple steps, sessions and interruptions without losing context or control?

MODELS

What can current models reliably do, where do their limitations emerge, and how should systems account for them?

INTELLIGENCE SYSTEMS

How do models, tools, memory and policies interact when combined into a working system?

ORCHESTRATION

How can independent agents and tools coordinate toward a shared objective while preserving clear responsibilities and boundaries?

AI INFRASTRUCTURE

What runtime, execution, state-management and verification mechanisms make intelligent systems dependable?

Evidence before claims.

Research should produce more than ideas. As the programme develops, this page will feature technical notes, experiments, evaluations and findings that can be examined on their own merits.

No research artefacts have been published here yet.