You don't own your AI.
And you're being watched.
They train on your code.
Every prompt. Every file. Every fix.
It flows through infrastructure you don't control — improving systems they want to use to replace you.
They meter your ambition.
Slowdowns, overages, caps.
Right when you're deep in a sprint, the meter decides you've had enough.
They change the model.
They silently downgrade to cheaper models during peak load. Full price, degraded experience.
They control your flow.
Every completion makes a round trip across the internet.
Thousands of tiny interruptions, every single day.
Everything local.
Own your AI.
A complete AI coding agent running entirely on your own hardware. No usage limits. No cloud dependency.
Work offline
Flights. Spotty Wi-Fi. Network outages. Nothing stops your flow.
Remove the meter
Refactor the whole codebase. Riff on an idea all day. Run agent loops without thinking about cost.
Sever the connection
Your code, keystrokes, and files never leave your machine. Not anonymized. Not aggregated. Not sent.
Stop waiting
No round-trip to a data center. Inference happens on your machine, in single-digit milliseconds.
Purpose beats scale.
Rig is a closed system — model, context, tools, and inference — engineered together for one job: real coding work.
Your machine, unleashed.
Understands your architecture.
Builds a connected model of modules, dependencies, and relationships so reasoning happens across files and aligns with your architecture.
Tracks relationships, prevents breakage.
Edits that respect function contracts, type boundaries, and dependency graphs — reducing bugs and regressions.
Strategizes before acting.
Explore → Plan → Execute workflows ensure multiple steps are reasoned out before changes occur.
Executes complex coding workflows.
From refactors to test generation to feature builds — coordinate tools, code edits, web search, and commands as needed.
Isolates agent sandboxes.
Each agent runs in its own workspace so experiments are safe, parallel workflows don't clash, and code changes stay isolated until you merge them.
Runs at full speed.
Custom Rust inference engine optimized for CUDA and Metal — delivering up to 144 tokens per second on consumer hardware.
Built for control freaks
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Rig is almost ready.
We're inviting engineers to run it on real code and help shape what ships.
Frequently asked questions.
01What is Rig?
Rig is a local-first AI coding assistant that runs entirely on your machine. It uses a modified open-source model post-trained exclusively for code, executed by a custom Rust inference engine optimized for Apple Silicon. Rig delivers up to 144 tokens per second with 300ms first-token latency, requires no API calls, has no usage caps, collects zero telemetry, and costs $0 per token. All code and files stay on your machine. Rig currently supports macOS with Linux and Windows support planned.
02What Model does Rig use?
Rig is a custom trained model based on an open source model. We extensively trained it to work exclusively with the Rig agent harness, context engine, and tools. This allows us to shrink the model's total footprint without losing intelligence or coding capability.
03What are the Hardware Requirements?
Rig is optimized to run on Apple Silicon devices using M2 or later with at least 16GB of RAM. Support for Window and Linux are coming soon.
04How Does Rig Compare to Large Cloud Models?
Rig's model is still in development so we do not have benchmarks available yet. Our early tests indicate the Rig model will be on par with state of the art models thanks to the combination of our context engine and post training pipeline.
05Can Rig Search the Web?
Yes, Rig has all the same tools you'd expect from a coding agent, including web search, file read / write, plan mode, and more.
06How will Rig be Priced?
Rig's pricing model is planned to be a flat monthly or annual subscription on par with other coding agents but completely unlimited and offline.
07Will Rig Collect my Data?
No, Rig is committed to being the most secure and private coding agent available. Our telemetry will be limited to a license check with a grace period. Your code and conversations will never leave your machine.
08When Will Rig be Available?
Soon! We are planning to start rolling out to our waitlist in Q2 2026 with a broader release targeted for later this year. We're focused on creating the best possible coding assistant capable of supporting real software engineers on their most important projects.
