Agentic Intelligence Lab

SYS: AGENT_ALIGNMENT X:--- Y:---

FIG. 1A Routing pressure as a local vector field.

SYS: MEMORY_DISPERSION X:--- Y:---

FIG. 1B Memory traces under perturbation.

Working Thesis

Vision

Agents are moving from chat interfaces into long-running systems. The frontier is state: memory, routing, recovery, cost, latency, privacy, and evaluation under real workloads.

Agentic Intelligence Lab builds at that layer: correctable memory, adaptive routers, inference paths, and evaluation loops, then turns the work into public systems and sharper papers.

Persistent agent systems must remember, choose, recover, and run.

SYS: CONTEXT_STRATA X:--- Y:---

FIG. 2 Context bands under inference load.

Record A

Research

Papers from systems we are building.

Open research

Record B

Ecosystem

Where papers become public infrastructure.

Open ecosystem

Record C

People

Researchers and builders shipping the loop.

Meet people