Introducing Agentivium AI: Why We Need Agent-Native Foundations
A systems perspective on treating agents as first-class computational workloads.
The world is becoming agentic.
OUR VIEW
Agentic systems are becoming a new class of computational workload.
Their execution is no longer fixed before runtime.
Agents can choose tools, delegate work, and create new execution paths while running.
Context, memory, tool state, intermediate artifacts, and external environments continue to shape what happens next.
Models, compute, memory, tools, and budgets depend on decisions made during execution.
Schedulers, serving systems, and observability tools typically manage jobs, requests, models, or processes individually — not the evolving agent workflow as a first-class workload.
WHAT WE DO ABOUT IT
Turning the thesis into systems research.
01
Develop agentic workloads
Current infrastructure knows how to reason about jobs, requests, and processes. It still lacks good workload representations for execution that can form, branch, remember, and adapt while running.
02
Transfer systems mechanisms
Operating systems, networks, schedulers, databases, and distributed runtimes already solve many related problems. Their assumptions, however, were made for a different kind of workload.
03
Build agent-native systems
Retrofitting isolated components only goes so far when agents themselves are still treated as an afterthought rather than first-class entities in the system.
04
Build evidence, not just concepts
Concepts and analogies are useful only when they survive implementation, measurement, comparison, and reuse.
CURRENT FOCUS
Research and scientific workflows.
Scientific workflows are a demanding proving ground for the systems questions we care about: long-running execution, heterogeneous resources, scheduling constraints, intermediate state, and costly failures.
Current HPC systems still schedule jobs and resources — not evolving agent-native workflows.
RECENT WORK
Research notes, systems, and experiments that make the thesis concrete.
READ →
hpc-claw
An infrastructure testbed for compute-aware orchestration of agentic workloads on HPC systems.
Agentic Runtime & Resource Management
How models, compute, memory, tools, and budgets adapt as agent workloads evolve.
SYSTEMS RESEARCH
Build the systems beneath the agentic shift.
Explore the research, systems, and artifacts we are building around agent-native computing.
Sign in to access eligible Agentivium services.
Google Sign-In uses basic identity information to authenticate your account and provide access to the services you choose.
Privacy Policy →