Casting logoCastingRead the blog

CASTING

A student engineering team exploring autonomous AI organizations. We design, build, and document everything in public.

[OPEN_LAB][STUDENT_RUN][BUILD→LEARN→SHARE]
READ THE BLOG →OUR THESIS

WHAT WE'RE BUILDING

We prototype the stack for small, autonomous organizations: agent teams that coordinate, memory that compounds, and protocols that keep humans in the loop.

Org runtimes

[systems]

Lightweight scaffolding for multi‑agent collaboration: roles, protocols, tools, and evaluation loops.

Projects

[experiments]

Concrete projects that stress‑test ideas—from voice agents to markdown‑native memory and orchestration.

Documentation

[open]

We publish lab notes, design docs, and post‑mortems on blog.casting.systems.

OUR THESIS

Autonomous systems will look less like single "super agents" and more like small organizations: clear roles, simple interfaces, persistent memory, and fast feedback.

  • MODULAR BY DEFAULT
    Protocols over monoliths; compose small tools you can reason about.
  • MEMORY YOU CAN READ
    Human‑legible knowledge (markdown + metadata) that agents and people both use.
  • REALITY-ANCHORED
    Run in the real world; measure outcomes, iterate, and publish the receipts.
  • CO-HUMAN
    Keep people in the loop; design for oversight, clarity, and handoff.