01
Context that understands types.
Work with compiler diagnostics and project context. Turn a failing type check into a concrete next step.
TypeScript · JavaScript
Your machine.
Your intelligence.
Big ideas deserve a workspace of their own.
Meet the local-first AI coding environment that puts
your code, your models, and your craft in your hands.
LOCAL INFERENCE. REAL TOOLS. EVIDENCE INCLUDED.
LESS DISTANCE BETWEEN IDEA AND EXECUTION.SCROLL TO EXPLORE ↓
Made for TypeScript TSPowered by local models ↗Grounded in evidence ✓Controlled by you ⌘
01 / FROM INTENT TO EVIDENCE
“Done” should come
with receipts.
Great code needs more than a convincing answer. Follow the work from your request to the checks that back it up.
Let the tools have the final word.
The local harness records commands and results from configured project checks. Missing or failed checks are not a pass.
Run configured checks. Record the outcome.
01 Typecheck → compiler diagnostics
02 Test → test runner results
03 Build → process exit status
Evidence attached to the workIllustrated workflow · no project is being executed in this demo.
◈ LOCAL EXECUTION MODELHUMAN IN CONTROL
THE MODEL PROPOSES. THE TOOLS CHECK. YOU DECIDE.↓ EVIDENCE, NOT ASSUMPTION
02 / PRIVATE BY ARCHITECTURE
A shorter path.
Your own machine.
Your editor talks to your local model. Your ideas stay close to the place where they become real.
Local inference uses Ollama. Downloads and explicitly enabled external tools may use the network.
YOUR MACHINE
⌘Workspace↔↗TypeWright↔◎Local model
127.0.0.1LOCAL INFERENCE PATH
03 / BUILT FOR THE WORK
Less friction.
More making.
An opinionated toolkit for people
who care how software is made.
02
A model on your terms.
Run local models through Ollama. Choose the model that fits your hardware and the work in front of you.
Local inference · Ollama
03
Every change, inspectable.
Review edits, follow tool activity, and keep your repository at the center of the workflow. You decide what ships.
Your workspace · Your control
01What is TypeWright?
TypeWright is a local-first AI coding project focused on TypeScript and JavaScript. It includes a VS Code-based editor and a separate Windows desktop harness for coding tasks with verification evidence.
02Does the AI run on my computer?
The local configuration routes inference to Ollama on your machine. Initial installation, model downloads, package installation, and any external tools you choose can still require a network connection.
03What hardware do I need?
Requirements depend on the model, context size, and workload. Smaller models use less memory; larger coding models need more capable hardware. We will help match the early-access setup to your machine.
04What does verified actually mean?
Verification records the checks that were run and their results. The local harness can run configured typecheck, lint, test, and build scripts. A passing receipt is evidence for those checks at that point in time, not a guarantee that software has no bugs.
05Can I try it with my team?
Yes. Request early access and tell us about your environment when we follow up. Team evaluations, deployment requirements, and licensing are discussed directly; this website does not take payments.
Make something
on your terms.
Your machine. Your models. Your next big idea.
Be part of what comes next.