Let capability show in action
Move from a single answer to continuous decisions. Watch how an Agent handles incomplete information, real-time change and the consequences of every action.
OPEN WORLD. OPEN POSSIBILITIES.
Intelligence,
put to the world.
Prove your agent, from sim to real.
Drop your Agent into a living simulated world. Every frame shows what it can really do.
Any Agent architectureOne interaction protocolTraceable, frame by frame
WORLD_001 / THE SENTINELInteractive demo · not measured
● AGENT_01 OBSERVE → ADAPT
THE SENTINEL
X: 12.4 / Y: 08.2
SEED 0042 · FIXED
SEED 0042 · FIXED
SIMULATION RUNNINGFRAME 0000
01 / THE WORLD IS YOUR TESTBEDSCROLL TO EXPLORE ↓
YOUR ARCHITECTURE. OUR WORLD.
LLM Agents
RL Policies
Multi-agent Systems
Custom Runtimes
One world, built your way ↗BEYOND A STATIC SCORE
Beyond the right answer.
Toward the right action.
Keep your architecture. Test the real system.
Models, memory, tools and deployment are your call. Plug your complete Agent into a shared test world through the Observation → Action interface.
Trace every result back to every decision
Correlate world state, Actions, response latency and WorldResult. See the exact frame where a mistake happened — and find the evidence for your next iteration.
THE BENCHMARK WORLDS
Every world,
a new challenge.
From a single action to long-term learning.
Explore the frontiers of intelligence, dimension by dimension.
ENVIRONMENT / COMBAT ARENASCENARIO CONCEPT
ADAPTIVE COMBAT
Not winning once.
Break down an action ↗
Not winning once.
Learning how to win.
Facing a boss that switches attack patterns, the Agent must observe, evade, build memory — and improve its strategy across repeated trials.
Core capabilitiesMemory · Adaptation · Real-time decisions
Evaluation lensLearning curve · KO rate · Response latency
HOW IT WORKS
Your Agent.
One shared world.
No constraints on internal architecture.
Just observation in, action out.
Connect your Agent
Keep your existing models, memory and toolchain — just adapt to the world's input/output contract.
Observe, decide, act
Receive an Observation, return an Action. The world advances, and every interaction and response time is logged frame by frame.
Evaluate and iterate
Assess performance with WorldResult and Replay to pinpoint issues in strategy, learning and latency.
OBSERVATION → YOUR AGENT → ACTION → WORLD
End-to-end response latency is recorded. Deploying your Agent and optimizing its latency is up to your team.
EVERY FRAME TELLS A STORY
One score.
The whole story behind it.
Drag the timeline to inspect every action.
Synthetic replay below — not real Agent results.
FRAME 0240Anticipate attack · Execute dodge
01Observation
boss.intent: "sweep_attack"
agent.stamina: 0.7202Action
type: "dodge"
direction: "left"03WorldResult
damage_taken: 0
attack_avoided: true240 / 479
ObserveDodgeCounterComplete
BUILT FOR BUILDERS
Bring your Agent.
The world handles the rest.
A thin adapter layer lets different intelligent systems speak one interaction language. However it thinks inside, the world only receives its actions.
- Custom models, memory and learning
- A clear Observation / Action boundary
- Frame-by-frame logs of inputs, outputs and response time
THE NEXT FRONTIER IS INTERACTIVE
Great agents aren't just prompted.
They are proven.
The next breakthrough starts by entering the world.
Join Evaluation ↗