The Cubical mode extends Agda with a variety of features from Cubical Type Theory. In particular, computational univalence and higher inductive types which hence gives computational meaning to Homotopy Type Theory and Univalent Foundations. The version of Cubical Type Theory that Agda implements is a variation of the CCHM Cubical Type Theory where the Kan composition operations are decomposed into homogeneous composition and generalized transport. This is what makes the general schema for higher inductive types work, following the CHM paper.

To use the cubical mode Agda needs to be run with the --cubical command-line-option or with {-# OPTIONS --cubical #-} at the top of the file. There is also a variant of the cubical mode, activated using --erased-cubical, which is described below.

The cubical mode adds the following features to Agda:

  1. An interval type and path types
  2. Generalized transport (transp)
  3. Partial elements
  4. Homogeneous composition (hcomp)
  5. Glue types
  6. Higher inductive types
  7. Cubical identity types

There is a standard agda/cubical library for Cubical Agda available at This documentation uses the naming conventions of this library, for a detailed list of all of the built-in Cubical Agda files and primitives see Appendix: Cubical Agda primitives. The main design choices of the core part of the library are explained in (lagda rendered version:

The recommended way to get access to the Cubical primitives is to add the following to the top of a file (this assumes that the agda/cubical library is installed and visible to Agda).

{-# OPTIONS --cubical #-}

open import Cubical.Core.Everything

For detailed install instructions for agda/cubical see: In order to make this library visible to Agda add /path/to/cubical/cubical.agda-lib to .agda/libraries and cubical to .agda/defaults (where path/to is the absolute path to where the agda/cubical library has been installed). For details of Agda’s library management see Library Management.

Expert users who do not want to rely on agda/cubical can just add the relevant import statements at the top of their file (for details see Appendix: Cubical Agda primitives). However, for beginners it is recommended that one uses at least the core part of the agda/cubical library.

There is also an older version of the library available at However this is relying on deprecated features and is not recommended to use.

The interval and path types

The key idea of Cubical Type Theory is to add an interval type I : SSet (the reason this is in SSet is because it doesn’t support the transp and hcomp operations). A variable i : I intuitively corresponds to a point in the real unit interval. In an empty context, there are only two values of type I: the two endpoints of the interval, i0 and i1.

i0 : I
i1 : I

Elements of the interval form a De Morgan algebra, with minimum (), maximum () and negation (~).

_∧_ : I  I  I
_∨_ : I  I  I
~_ : I  I

All the properties of De Morgan algebras hold definitionally. The endpoints of the interval i0 and i1 are the bottom and top elements, respectively.

i0 ∨ i    = i
i  ∨ i1   = i1
i  ∨ j    = j ∨ i
i0 ∧ i    = i0
i1 ∧ i    = i
i  ∧ j    = j ∧ i
~ (~ i)   = i
i0        = ~ i1
~ (i ∨ j) = ~ i ∧ ~ j
~ (i ∧ j) = ~ i ∨ ~ j

The core idea of Homotopy Type Theory and Univalent Foundations is a correspondence between paths (as in topology) and (proof-relevant) equalities (as in Martin-Löf’s identity type). This correspondence is taken very literally in Cubical Agda where a path in a type A is represented like a function out of the interval, I A. A path type is in fact a special case of the more general built-in heterogeneous path types:

-- PathP : ∀ {ℓ} (A : I → Set ℓ) → A i0 → A i1 → Set ℓ

-- Non dependent path types
Path :  {} (A : Set)  A  A  Set ℓ
Path A a b = PathP (λ _  A) a b

The central notion of equality in Cubical Agda is hence heterogeneous equality (in the sense of PathOver in HoTT). To define paths we use λ-abstractions and to apply them we use regular application. For example, this is the definition of the constant path (or proof of reflexivity):

refl :  {} {A : Set} {x : A}  Path A x x
refl {x = x} = λ i  x

Although they use the same syntax, a path is not exactly the same as a function. For example, the following is not valid:

refl :  {} {A : Set} {x : A}  Path A x x
refl {x = x} = λ (i : I)  x

Because of the intuition that paths correspond to equality PathP i A) x y gets printed as x y when A does not mention i. By iterating the path type we can define squares, cubes, and higher cubes in Agda, making the type theory cubical. For example a square in A is built out of 4 points and 4 lines:

Square :  {} {A : Set} {x0 x1 y0 y1 : A} 
           x0 ≡ x1  y0 ≡ y1  x0 ≡ y0  x1 ≡ y1  Set ℓ
Square p q r s = PathP (λ i  p i ≡ q i) r s

Viewing equalities as functions out of the interval makes it possible to do a lot of equality reasoning in a very direct way:

sym :  {} {A : Set} {x y : A}  x ≡ y  y ≡ x
sym p = λ i  p (~ i)

cong :  {} {A : Set} {x y : A} {B : A  Set} (f : (a : A)  B a) (p : x ≡ y)
        PathP (λ i  B (p i)) (f x) (f y)
cong f p i = f (p i)

Because of the way functions compute these satisfy some new definitional equalities compared to the standard Agda definitions:

symInv :  {} {A : Set} {x y : A} (p : x ≡ y)  sym (sym p) ≡ p
symInv p = refl

congId :  {} {A : Set} {x y : A} (p : x ≡ y)  cong (λ a  a) p ≡ p
congId p = refl

congComp :  {} {A B C : Set} (f : A  B) (g : B  C) {x y : A} (p : x ≡ y) 
             cong (λ a  g (f a)) p ≡ cong g (cong f p)
congComp f g p = refl

Path types also lets us prove new things are not provable in standard Agda, for example function extensionality (pointwise equal functions are equal) has an extremely simple proof:

funExt :  {} {A : Set} {B : A  Set} {f g : (x : A)  B x} 
           ((x : A)  f x ≡ g x)  f ≡ g
funExt p i x = p x i


While path types are great for reasoning about equality they don’t let us transport along paths between types or even compose paths, which in particular means that we cannot yet prove the induction principle for paths. In order to remedy this we also have a built-in (generalized) transport operation transp and homogeneous composition operations hcomp. The transport operation is generalized in the sense that it lets us specify where it is the identity function.

transp :  {} (A : I  Set) (r : I) (a : A i0)  A i1

There is an additional side condition to be satisfied for a usage of transp to type-check: A should be a constant function whenever the constraint r = i1 is satisfied. By constant here we mean that A is definitionally equal to λ _ A i0, which in turn requires A i0 and A i1 to be definitionally equal as well.

When r is i1, transp A r will compute as the identity function.

transp A i1 a = a

This is only sound if in such a case A is a trivial path, as the side condition requires.

It might seems strange that the side condition expects r and A to interact, but both of them can depend on any of the interval variables in scope, so assuming a specific value for r can affect what A looks like.

Some examples of the side condition for different values of r:

  • If r is some in-scope variable i, on which A may depend as well, then A only needs to be a constant function when substituting i1 for i.
  • If r is i0 then there is no restrition on A, since the side condition is vacuously true.
  • If r is i1 then A must be a constant function.

We can use transp to define regular transport:

transport :  {} {A B : Set}  A ≡ B  A  B
transport p a = transp (λ i  p i) i0 a

By combining the transport and min operations we can define the induction principle for paths:

J :  {} {A : Set} {x : A} (P :  y  x ≡ y  Set)
      (d : P x refl) {y : A} (p : x ≡ y)
     P y p
J P d p = transport (λ i  P (p i) (λ j  p (i ∧ j))) d

One subtle difference between paths and the propositional equality type of Agda is that the computation rule for J does not hold definitionally. If J is defined using pattern-matching as in the Agda standard library then this holds, however as the path types are not inductively defined this does not hold for the above definition of J. In particular, transport in a constant family is only the identity function up to a path which implies that the computation rule for J only holds up to a path:

transportRefl :  {} {A : Set} (x : A)  transport refl x ≡ x
transportRefl {A = A} x i = transp (λ _  A) i x

JRefl :  {} {A : Set} {x : A} (P :  y  x ≡ y  Set)
         (d : P x refl)  J P d refl ≡ d
JRefl P d = transportRefl d

Internally in Agda the transp operation computes by cases on the type, so for example for Σ-types it is computed elementwise. For path types it is however not yet possible to provide the computation rule as we need some way to remember the endpoints of the path after transporting it. Furthermore, this must work for arbitrary higher dimensional cubes (as we can iterate the path types). For this we introduce the “homogeneous composition operations” (hcomp) that generalize binary composition of paths to n-ary composition of higher dimensional cubes.

Partial elements

In order to describe the homogeneous composition operations we need to be able to write partially specified n-dimensional cubes (i.e. cubes where some faces are missing). Given an element of the interval r : I there is a predicate IsOne which represents the constraint r = i1. This comes with a proof that i1 is in fact equal to i1 called 1=1 : IsOne i1. We use Greek letters like φ or ψ when such an r should be thought of as being in the domain of IsOne.

Using this we introduce a type of partial elements called Partial φ A, this is a special version of IsOne φ A with a more extensional judgmental equality (two elements of Partial φ A are considered equal if they represent the same subcube, so the faces of the cubes can for example be given in different order and the two elements will still be considered the same). The idea is that Partial φ A is the type of cubes in A that are only defined when IsOne φ. There is also a dependent version of this called PartialP φ A which allows A to be defined only when IsOne φ.

Partial :  {}  I  Set SSet ℓ

PartialP :  {}  (φ : I)  Partial φ (Set)  SSet ℓ

There is a new form of pattern matching that can be used to introduce partial elements:

partialBool :  i  Partial (i ∨ ~ i) Bool
partialBool i (i = i0) = true
partialBool i (i = i1) = false

The term partialBool i should be thought of a boolean with different values when (i = i0) and (i = i1). Terms of type Partial φ A can also be introduced using a Pattern matching lambda.

partialBool' :  i  Partial (i ∨ ~ i) Bool
partialBool' i = λ { (i = i0)  true
                   ; (i = i1)  false }

When the cases overlap they must agree (note that the order of the cases doesn’t have to match the interval formula exactly):

partialBool'' :  i j  Partial (~ i ∨ i ∨ (i ∧ j)) Bool
partialBool'' i j = λ { (i = i1)           true
                      ; (i = i1) (j = i1)  true
                      ; (i = i0)           false }

Furthermore IsOne i0 is actually absurd.

empty : {A : Set}  Partial i0 A
empty = λ { () }

Cubical Agda also has cubical subtypes as in the CCHM type theory:

_[_↦_] :  {} (A : Set) (φ : I) (u : Partial φ A)  SSet ℓ
A [ φ ↦ u ] = Sub A φ u

A term v : A [ φ u ] should be thought of as a term of type A which is definitionally equal to u : A when IsOne φ is satisfied. Any term u : A can be seen as an term of A [ φ u ] which agrees with itself on φ:

inS :  {} {A : Set} {φ : I} (u : A)  A [ φ ↦ (λ _  u) ]

One can also forget that a partial element agrees with u on φ:

outS :  {} {A : Set} {φ : I} {u : Partial φ A}  A [ φ ↦ u ]  A

They satisfy the following equalities:

outS (inS a) = a

inS {φ = φ} (outS {φ = φ} a) = a

outS {φ = i1} {u} _ = u 1=1

Note that given a : A [ φ u ] and α : IsOne φ, it is not the case that outS a = u α; however, underneath the pattern binding = i1), one has outS a = u 1=1.

With all of this cubical infrastructure we can now describe the hcomp operations.

Homogeneous composition

The homogeneous composition operations generalize binary composition of paths so that we can compose multiple composable cubes.

hcomp :  {} {A : Set} {φ : I} (u : I  Partial φ A) (u0 : A)  A

When calling hcomp = φ} u u0 Agda makes sure that u0 agrees with u i0 on φ. The idea is that u0 is the base and u specifies the sides of an open box. This is hence an open (higher dimensional) cube where the side opposite of u0 is missing. The hcomp operation then gives us the missing side opposite of u0. For example binary composition of paths can be written as:

compPath :  {} {A : Set} {x y z : A}  x ≡ y  y ≡ z  x ≡ z
compPath {x = x} p q i = hcomp (λ j  λ { (i = i0)  x
                                        ; (i = i1)  q j })
                               (p i)

Pictorially we are given p : x y and q : y z, and the composite of the two paths is obtained by computing the missing lid of this open square:

  x             z
  ^             ^
  |             |
x |             | q j
  |             |
  x ----------> y
       p i

In the drawing the direction i goes left-to-right and j goes bottom-to-top. As we are constructing a path from x to z along i we have i : I in the context already and we put p i as bottom. The direction j that we are doing the composition in is abstracted in the first argument to hcomp.

Note that the partial element u does not have to specify all the sides of the open box, giving more sides simply gives you more control on the result of hcomp. For example if we omit the (i = i0) x side in the definition of compPath we still get a valid term of type A. However, that term would reduce to hcomp (\ j \ { () }) x when i = i0 and so that definition would not build a path that starts from x.

We can also define homogeneous filling of cubes as

hfill :  {} {A : Set} {φ : I}
        (u :  i  Partial φ A) (u0 : A [ φ ↦ u i0 ])
        (i : I)  A
hfill {φ = φ} u u0 i = hcomp (λ j  λ { (φ = i1)  u (i ∧ j) 1=1
                                      ; (i = i0)  outS u0 })
                             (outS u0)

When i is i0 this is u0 and when i is i1 this is hcomp u u0. This can hence be seen as giving us the interior of an open box. In the special case of the square above hfill gives us a direct cubical proof that composing p with refl is p.

compPathRefl :  {} {A : Set} {x y : A} (p : x ≡ y)  compPath p refl ≡ p
compPathRefl {x = x} {y = y} p j i = hfill (λ _  λ { (i = i0)  x
                                                    ; (i = i1)  y })
                                           (inS (p i))
                                           (~ j)

Glue types

In order to be able to prove the univalence theorem we also have to add “Glue” types. These lets us turn equivalences between types into paths between types. An equivalence of types A and B is defined as a map f : A B such that its fibers are contractible.

fiber :  {} {A B : Set} (f : A  B) (y : B)  Set ℓ
fiber {A = A} f y = Σ[ x ∈ A ] f x ≡ y

isContr :  {}  Set Set ℓ
isContr A = Σ[ x ∈ A ] ( y  x ≡ y)

record isEquiv {} {A B : Set} (f : A  B) : Setwhere
    equiv-proof : (y : B)  isContr (fiber f y)

_≃_ :  {} (A B : Set)  Set ℓ
A ≃ B = Σ[ f ∈ (A  B) ] (isEquiv f)

The simplest example of an equivalence is the identity function.

idfun :  {}  (A : Set)  A  A
idfun _ x = x

idIsEquiv :  {} (A : Set)  isEquiv (idfun A)
equiv-proof (idIsEquiv A) y =
  ((y , refl) , λ z i  z .snd (~ i) , λ j  z .snd (~ i ∨ j))

idEquiv :  {} (A : Set)  A ≃ A
idEquiv A = (idfun A , idIsEquiv A)

An important special case of equivalent types are isomorphic types (i.e. types with maps going back and forth which are mutually inverse):

As everything has to work up to higher dimensions the Glue types take a partial family of types that are equivalent to the base type A:

Glue :  {ℓ ℓ'} (A : Set) {φ : I}
      Partial φ (Σ[ T ∈ Set ℓ' ] T ≃ A)  Set ℓ'

These come with a constructor and eliminator:

glue :  {ℓ ℓ'} {A : Set} {φ : I} {Te : Partial φ (Σ[ T ∈ Set ℓ' ] T ≃ A)}
      PartialP φ T  A  Glue A Te

unglue :  {ℓ ℓ'} {A : Set} (φ : I) {Te : Partial φ (Σ[ T ∈ Set ℓ' ] T ≃ A)}
        Glue A Te  A

Using Glue types we can turn an equivalence of types into a path as follows:

ua :  {} {A B : Set}  A ≃ B  A ≡ B
ua {_} {A} {B} e i = Glue B (λ { (i = i0)  (A , e)
                               ; (i = i1)  (B , idEquiv B) })

The idea is that we glue A together with B when i = i0 using e and B with itself when i = i1 using the identity equivalence. This hence gives us the key part of univalence: a function for turning equivalences into paths. The other part of univalence is that this map itself is an equivalence which follows from the computation rule for ua:

uaβ :  {} {A B : Set} (e : A ≃ B) (x : A)  transport (ua e) x ≡ e .fst x
uaβ e x = transportRefl (e .fst x)

Transporting along the path that we get from applying ua to an equivalence is hence the same as applying the equivalence. This is what makes it possible to use the univalence axiom computationally in Cubical Agda: we can package up our equivalences as paths, do equality reasoning using these paths, and in the end transport along the paths in order to compute with the equivalences.

We have the following equalities:

Glue A {i1} Te = Te 1=1 .fst

unglue φ (glue t a) = a

glue (\ { (φ = i1) -> g}) (unglue φ g) = g

unglue i1 {Te} g = Te 1=1 .snd .fst g

glue {φ = i1} t a = t 1=1

For more results about Glue types and univalence see and For some examples of what can be done with this for working with binary and unary numbers see

Higher inductive types

Cubical Agda also lets us directly define higher inductive types as datatypes with path constructors. For example the circle and torus can be defined as:

data: Set where
  base :loop : base ≡ base

data Torus : Set where
  point : Torus
  line1 : point ≡ point
  line2 : point ≡ point
  square : PathP (λ i  line1 i ≡ line1 i) line2 line2

Functions out of higher inductive types can then be defined using pattern-matching:

t2c : Torus  S¹ × S¹
t2c point        = (base   , base)
t2c (line1 i)    = (loop i , base)
t2c (line2 j)    = (base   , loop j)
t2c (square i j) = (loop i , loop j)

c2t : S¹ × S¹  Torus
c2t (base   , base)   = point
c2t (loop i , base)   = line1 i
c2t (base   , loop j) = line2 j
c2t (loop i , loop j) = square i j

When giving the cases for the path and square constructors we have to make sure that the function maps the boundary to the right thing. For instance the following definition does not pass Agda’s typechecker as the boundary of the last case does not match up with the expected boundary of the square constructor (as the line1 and line2 cases are mixed up).

c2t_bad : S¹ × S¹  Torus
c2t_bad (base   , base)   = point
c2t_bad (loop i , base)   = line2 i
c2t_bad (base   , loop j) = line1 j
c2t_bad (loop i , loop j) = square i j

Functions defined by pattern-matching on higher inductive types compute definitionally, for all constructors.

c2t-t2c :  (t : Torus)  c2t (t2c t) ≡ t
c2t-t2c point        = refl
c2t-t2c (line1 _)    = refl
c2t-t2c (line2 _)    = refl
c2t-t2c (square _ _) = refl

t2c-c2t :  (p : S¹ × S¹)  t2c (c2t p) ≡ p
t2c-c2t (base   , base)   = refl
t2c-c2t (base   , loop _) = refl
t2c-c2t (loop _ , base)   = refl
t2c-c2t (loop _ , loop _) = refl

By turning this isomorphism into an equivalence we get a direct proof that the torus is equal to two circles.

Torus≡S¹×S¹ : Torus ≡ S¹ × S¹
Torus≡S¹×S¹ = isoToPath (iso t2c c2t t2c-c2t c2t-t2c)

Cubical Agda also supports parameterized and recursive higher inductive types, for example propositional truncation (squash types) is defined as:

data ∥_∥ {} (A : Set) : Setwhere
  ∣_∣ : A  ∥ A ∥
  squash :  (x y : ∥ A ∥)  x ≡ y

isProp :  {}  Set Set ℓ
isProp A = (x y : A)  x ≡ y

recPropTrunc :  {} {A : Set} {P : Set}  isProp P  (A  P)  ∥ A ∥  P
recPropTrunc Pprop f ∣ x ∣          = f x
recPropTrunc Pprop f (squash x y i) =
  Pprop (recPropTrunc Pprop f x) (recPropTrunc Pprop f y) i

For many more examples of higher inductive types see:

Cubical identity types and computational HoTT/UF

As mentioned above the computation rule for J does not hold definitionally for path types. Cubical Agda solves this by introducing a cubical identity type. The file exports all of the primitives for this type, including the notation _≡_ and a J eliminator that computes definitionally on refl.

The cubical identity type and the path type are equivalent, so all of the results for one can be transported to the other one (using univalence). Using this we have implemented an interface to HoTT/UF which provides the user with the key primitives of Homotopy Type Theory and Univalent Foundations implemented using cubical primitives under the hood. This hence gives an axiom free version of HoTT/UF which computes properly.

module Cubical.Core.HoTT-UF where

open import Cubical.Core.Id public
   using ( _≡_            -- The identity type.
         ; refl            -- Unfortunately, pattern matching on refl is not available.
         ; J              -- Until it is, you have to use the induction principle J.

         ; transport      -- As in the HoTT Book.
         ; ap
         ; _∙_
         ; _⁻¹

         ; _≡⟨_⟩_         -- Standard equational reasoning.
         ; _∎

         ; funExt         -- Function extensionality
                          -- (can also be derived from univalence).

         ; Σ              -- Sum type. Needed to define contractible types, equivalences
         ; _,_            -- and univalence.
         ; pr₁            -- The eta rule is available.
         ; pr₂

         ; isProp         -- The usual notions of proposition, contractible type, set.
         ; isContr
         ; isSet

         ; isEquiv        -- A map with contractible fibers
                          -- (Voevodsky's version of the notion).
         ; _≃_            -- The type of equivalences between two given types.
         ; EquivContr     -- A formulation of univalence.

         ; ∥_∥             -- Propositional truncation.
         ; ∣_∣             -- Map into the propositional truncation.
         ; ∥∥-isProp       -- A truncated type is a proposition.
         ; ∥∥-recursion    -- Non-dependent elimination.
         ; ∥∥-induction    -- Dependent elimination.

In order to get access to only the HoTT/UF primitives start a file as follows:

{-# OPTIONS --cubical #-}

open import Cubical.Core.HoTT-UF

However, even though this interface exists it is still recommended that one uses the cubical identity types unless one really need J to compute on refl. The reason for this is that the syntax for path types does not work for the identity types, making many proofs more involved as the only way to reason about them is using J. Furthermore, the path types satisfy many useful definitional equalities that the identity types don’t.

Cubical Agda with erased glue and erased higher constructors

The option --erased-cubical enables a variant of Cubical Agda in which glue (and the other builtins defined in Agda.Builtin.Cubical.Glue) must only be used in erased settings, and higher constructors must be erased.

Regular Cubical Agda code can import code that uses --erased-cubical. Regular Cubical Agda code can also be imported from code that uses --erased-cubical, but names defined using Cubical Agda are treated as if they had been marked as erased, with some exceptions related to pattern matching:

  • Matching on a non-erased imported constructor does not, on its own, make Agda treat the right-hand side as erased.
  • Non-erased imported constructors count as non-erased for the purposes of the run-time mode rule that one “cannot pattern match on erased arguments, unless there is at most one valid case (not counting erased constructors)”.

The reason for these exceptions is that it should be possible to import the code from modules that use --cubical, in which the non-erased constructors are not treated as erased.

Note that names that are re-exported from a Cubical Agda module using open import M args public are seen as defined using Cubical Agda.


Cyril Cohen, Thierry Coquand, Simon Huber and Anders Mörtberg; “Cubical Type Theory: a constructive interpretation of the univalence axiom”.
Thierry Coquand, Simon Huber, Anders Mörtberg; “On Higher Inductive Types in Cubical Type Theory”.

Appendix: Cubical Agda primitives

The Cubical Agda primitives and internals are exported by a series of files found in the lib/prim/Agda/Builtin/Cubical directory of Agda. The agda/cubical library exports all of these primitives with the names used throughout this document. Experts might find it useful to know what is actually exported as there are quite a few primitives available that are not really exported by agda/cubical, so the goal of this section is to list the contents of these files. However, for regular users and beginners the agda/cubical library should be sufficient and this section can safely be ignored.

The key file with primitives is Agda.Primitive.Cubical. It exports the following BUILTIN, primitives and postulates:

{-# BUILTIN INTERVAL I    #-} -- I : SSet
{-# BUILTIN IZERO    i0   #-}
{-# BUILTIN IONE     i1   #-}

infix 30 primINeg
infixr 20 primIMin primIMax

  primIMin : I  I  I   -- _∧_
  primIMax : I  I  I   -- _∨_
  primINeg : I  I       -- ~_

{-# BUILTIN ISONE IsOne #-} -- IsOne : I → SSet

  itIsOne : IsOne i1     -- 1=1
  IsOne1  :  i j  IsOne i  IsOne (primIMax i j)
  IsOne2  :  i j  IsOne j  IsOne (primIMax i j)

{-# BUILTIN ITISONE      itIsOne  #-}
{-# BUILTIN ISONE1       IsOne1   #-}
{-# BUILTIN ISONE2       IsOne2   #-}
{-# BUILTIN PARTIAL      Partial  #-}
{-# BUILTIN PARTIALP     PartialP #-}

  isOneEmpty :  {a} {A : Partial i0 (Set a)}  PartialP i0 A

  primPOr :  {a} (i j : I) {A : Partial (primIMax i j) (Set a)}
           PartialP i (λ z  A (IsOne1 i j z))  PartialP j (λ z  A (IsOne2 i j z))
           PartialP (primIMax i j) A

  -- Computes in terms of primHComp and primTransp
  primComp :  {a} (A : (i : I)  Set (a i)) (φ : I)  ( i  Partial φ (A i))  (a : A i0)  A i1

syntax primPOr p q u t = [ p ↦ u , q ↦ t ]

  primTransp :  {a} (A : (i : I)  Set (a i)) (φ : I)  (a : A i0)  A i1
  primHComp :  {a} {A : Set a} {φ : I}  ( i  Partial φ A)  A  A

The Path types are exported by Agda.Builtin.Cubical.Path:

  PathP :  {} (A : I  Set)  A i0  A i1  Set{-# BUILTIN PATHP        PathP     #-}

infix 4 _≡_
_≡_ :  {} {A : Set}  A  A  Set ℓ
_≡_ {A = A} = PathP (λ _  A)

{-# BUILTIN PATH         _≡_     #-}

The Cubical subtypes are exported by Agda.Builtin.Cubical.Sub:

{-# BUILTIN SUB Sub #-}

  inc :  {} {A : Set} {φ} (x : A)  Sub A φ (λ _  x)


  primSubOut :  {} {A : Set} {φ : I} {u : Partial φ A}  Sub _ φ u  A

The Glue types are exported by Agda.Builtin.Cubical.Glue:

record isEquiv {ℓ ℓ'} {A : Set} {B : Set ℓ'} (f : A  B) : Set (ℓ ⊔ ℓ') where
    equiv-proof : (y : B)  isContr (fiber f y)
infix 4 _≃_

_≃_ :  {ℓ ℓ'} (A : Set) (B : Set ℓ')  Set (ℓ ⊔ ℓ')
A ≃ B = Σ (A  B) \ f  (isEquiv f)

equivFun :  {ℓ ℓ'} {A : Set} {B : Set ℓ'}  A ≃ B  A  B
equivFun e = fst e

equivProof :  {la lt} (T : Set la) (A : Set lt)  (w : T ≃ A)  (a : A)
             ψ  (Partial ψ (fiber (w .fst) a))  fiber (w .fst) a
equivProof A B w a ψ fb = contr' {A = fiber (w .fst) a} (w .snd .equiv-proof a) ψ fb
    contr' :  {} {A : Set}  isContr A  (φ : I)  (u : Partial φ A)  A
    contr' {A = A} (c , p) φ u = hcomp (λ i  λ { (φ = i1)  p (u 1=1) i
                                                ; (φ = i0)  c }) c

{-# BUILTIN EQUIV      _≃_        #-}
{-# BUILTIN EQUIVFUN   equivFun   #-}
{-# BUILTIN EQUIVPROOF equivProof #-}

  primGlue    :  {ℓ ℓ'} (A : Set) {φ : I}
     (T : Partial φ (Set ℓ'))  (e : PartialP φ (λ o  T o ≃ A))
     Set ℓ'
  prim^glue   :  {ℓ ℓ'} {A : Set} {φ : I}
     {T : Partial φ (Set ℓ')}  {e : PartialP φ (λ o  T o ≃ A)}
     PartialP φ T  A  primGlue A T e
  prim^unglue :  {ℓ ℓ'} {A : Set} {φ : I}
     {T : Partial φ (Set ℓ')}  {e : PartialP φ (λ o  T o ≃ A)}
     primGlue A T e  A
  primFaceForall : (I  I)  I

-- pathToEquiv proves that transport is an equivalence (for details
-- see Agda.Builtin.Cubical.Glue). This is needed internally.

Note that the Glue types are uncurried in agda/cubical to make them more pleasant to use:

Glue :  {ℓ ℓ'} (A : Set) {φ : I}
      (Te : Partial φ (Σ[ T ∈ Set ℓ' ] T ≃ A))
      Set ℓ'
Glue A Te = primGlue A (λ x  Te x .fst) (λ x  Te x .snd)

The Agda.Builtin.Cubical.Id exports the cubical identity types:

  Id :  {} {A : Set}  A  A  Set{-# BUILTIN ID           Id       #-}
{-# BUILTIN CONID        conid    #-}

  primDepIMin : _
  primIdFace :  {} {A : Set} {x y : A}  Id x y  I
  primIdPath :  {} {A : Set} {x y : A}  Id x y  x ≡ y

  primIdJ :  {ℓ ℓ'} {A : Set} {x : A} (P :  y  Id x y  Set ℓ') 
              P x (conid i1 (λ i  x))   {y} (p : Id x y)  P y p

  primIdElim :  {a c} {A : Set a} {x : A}
                 (C : (y : A)  Id x y  Set c) 
                 ((φ : I) (y : A [ φ ↦ (λ _  x) ])
                  (w : (x ≡ outS y) [ φ ↦ (λ { (φ = i1)  \ _  x}) ]) 
                  C (outS y) (conid φ (outS w))) 
                 {y : A} (p : Id x y)  C y p