https://github.com/TritonVM/triton-vm
Triton is a virtual machine that comes with Algebraic Execution Tables (AET) and Arithmetic Intermediate Representations (AIR) for use in combination with a STARK proof system.
https://github.com/TritonVM/triton-vm
cryptography rust stark zero-knowledge zk-starks
Last synced: about 1 month ago
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Triton is a virtual machine that comes with Algebraic Execution Tables (AET) and Arithmetic Intermediate Representations (AIR) for use in combination with a STARK proof system.
- Host: GitHub
- URL: https://github.com/TritonVM/triton-vm
- Owner: TritonVM
- License: apache-2.0
- Created: 2021-11-28T14:57:16.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2024-10-29T12:14:23.000Z (7 months ago)
- Last Synced: 2024-10-29T13:31:59.792Z (7 months ago)
- Topics: cryptography, rust, stark, zero-knowledge, zk-starks
- Language: Rust
- Homepage: https://triton-vm.org
- Size: 11.5 MB
- Stars: 246
- Watchers: 11
- Forks: 37
- Open Issues: 34
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
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README
# Triton VM
[](https://opensource.org/licenses/Apache-2.0)
[](https://github.com/TritonVM/triton-vm/actions)
[](https://crates.io/crates/triton-vm)
[](https://triton-vm.org/spec/)
[](https://coveralls.io/github/TritonVM/triton-vm?branch=master)
[](https://github.com/TritonVM/triton-vm/actions/workflows/link_checker.yml)
Triton is a virtual machine that comes with Algebraic Execution Tables (AET) and Arithmetic
Intermediate Representations (AIR) for use in combination with
a [STARK proof system](https://neptune.cash/learn/stark-anatomy/). It defines a Turing
complete [Instruction Set Architecture](https://triton-vm.org/spec/isa.html), as well as the
corresponding [arithmetization](https://triton-vm.org/spec/arithmetization.html) of the VM. The
really cool thing about Triton VM is its efficient _recursive_ verification of the STARKs produced
when running Triton VM.
## Getting Started
If you want to start writing programs for Triton VM, check out the
[Triton TUI](https://github.com/TritonVM/triton-tui). If you want to generate or verify proofs of
correct execution, check out the [Triton CLI](https://github.com/TritonVM/triton-cli). If you want
to use Triton VM as a library, check out the [examples](triton-vm/examples).
## Recursive STARKs of Computational Integrity
Normally, when executing a machine – virtual or not – the flow of information can be regarded as
follows. The tuple of (`input`, `program`) is given to the machine, which takes the `program`,
evaluates it on the `input`, and produces some `output`.
If the – now almost definitely virtual – machine also has an associated STARK engine, one additional
output is a `proof` of computational integrity.
Only if `input`, `program`, and `output` correspond to one another, i.e., if `output` is indeed the
result of evaluating the `program` on the `input` according to the rules defined by the virtual
machine, then producing such a `proof` is easy. Otherwise, producing a `proof` is next to
impossible.
The routine that checks whether a `proof` is, in fact, a valid one, is called the Verifier. It takes
as input a 4-tuple (`input`, `program`, `output`, `proof`) and evaluates to `true` if and only if
that 4-tuple is consistent with the rules of the virtual machine.
Since the Verifier is a program taking some input and producing some output, the original virtual
machine can be used to perform the computation.
The associated STARK engine will then produce a proof of computational integrity of _verifying_ some
other proof of computational integrity – recursion!
Of course, the Verifier can be a subroutine in a larger program.
Triton VM is specifically designed to allow fast recursive verification.
## Project Status
Triton VM is still under construction. We currently don't recommend using it in production.
Please note that the [Instruction Set Architecture](https://triton-vm.org/spec/isa.html) is not to
be considered final. However, we don't currently foresee big changes.
## Specification
The specification can be found [online](https://triton-vm.org/spec/). Alternatively, you can
self-host the [mdBook](https://rust-lang.github.io/mdBook/) by first installing the dependencies,
then serving the mdBook.
```sh
cargo install mdbook
cargo install mdbook-katex
cargo install mdbook-linkcheck
mdbook serve --open
```
Potentially, `~/.cargo/bin` needs to be added to the PATH.
## Running the Code
The Rust implementation of Triton VM resides in [triton-vm](./triton-vm) and can
be [found on crates.io](https://crates.io/crates/triton-vm).
Triton VM depends on the [`twenty-first`](https://crates.io/crates/twenty-first) cryptographic
library.
For trying out the code, [install Rust](https://www.rust-lang.org/tools/install) and run:
```sh
~ $ git clone https://github.com/TritonVM/triton-vm.git
~ $ cd triton-vm
~/triton-vm $ make test
```
For local development of both libraries, it is encouraged to
follow [GitHub's fork & pull workflow][gh-fap] by forking and cloning both, place `twenty-first`
relative to `triton-vm`, and change the dependency to be `path`-local:
[gh-fap]: https://reflectoring.io/github-fork-and-pull/
```sh
~ $ git clone [email protected]:you/triton-vm.git
~ $ git clone [email protected]:you/twenty-first.git
~ $ cd triton-vm
~/triton-vm $ ln -s ../twenty-first/twenty-first twenty-first
~/triton-vm $ sed -i '/^twenty-first =/ s/{.*}/{ path = "..\/twenty-first" }/' triton-vm/Cargo.toml
```