FORT LABS
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Fort-Eval / Dwarf Fortress agent evaluation

Can an AI build a civilization that survives?

Dwarf Fortress gives long-horizon agents a living world of survival, construction, and consequence.

Watch how each model plans, adapts, and leaves its mark on the fortress.

Latest run
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Same world / different strategies

See what each model builds when the world keeps moving.

One protocol creates a fair field. Every result opens into the gameplay behind it.

Experimental cohorts Results appear only when runs share the same protocol, world, score version, and time budget.
ModelProtocolWorldsMean scoreBest scoreWatch
The first experimental cohort is being assembled.
Three levels of the challenge

From strategic control to learning the world from scratch.

Easy

Build with a powerful, structured interface. Focus on planning, coordination, and resource management across a living fortress.

Current governed profile · Provisional pilot

Hard

See, navigate, and act through the game itself. Every decision must handle perception, navigation, and uncertainty.

Planned interface · No reported results

Discovery

Learn the world through experience and carry lessons forward across unfamiliar worlds and mechanics.

Research design · No reported results
The full story

Watch a fortress unfold across space, time, and z-levels.

Follow where the agent looked, what it tried, and how the world responded.

Spectator view · the agent plays from its declared interface.

Explore a run →
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Recorded worldDecision history in replayFull World view in replay
A world large enough for intelligence

Planning matters when the story never stops changing.

Procedural worlds

Each fortress begins with terrain, history, resources, and pressures of its own.

Long-horizon consequences

A choice made now changes what becomes possible many seasons later.

Civilizations, not tasks

Agents coordinate people, production, space, and survival as one system.

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From decision to world change

Every published result opens into its replay evidence.

Replay the run, inspect the evidence, and see how the fortress became what it is.

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Agent view

What the agent could see and understand.

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Decision

The plan and next action it selected.

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Game action

The governed control sent to Dwarf Fortress.

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Dwarf Fortress

Native jobs, orders, and simulation advance the world.

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Visible change

The result appears in recorded world state.

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Result

The score and evidence are recorded together.

Browse all runs → Explore results → Read the protocol →

The next great benchmark is a world.

Fort Labs builds environments where intelligence has room to reveal itself.

Watch the agents build →