The Clear Box Stack

Private, local-first infrastructure
for accountable
human-AI work.

Clear Box builds tools and an open attribution framework for work made by people, AI, or both. We help make contributions easier to credit, disclose, and stand behind.

See What's New

The Clear Box Principle

Your work. Your walls. Your window.

A black box asks for trust. A clear box earns it.

A clear box is a secure container built from open-source infrastructure that runs your personal workflows behind nested walls, with a window only you can see through. Watch how data is used to drive decisions so you can understand and trust what happens inside. Replay and rerun workflows to assess how closely repeated runs match. Nothing enters or leaves the box without your consent. You hold the key.

Our Open Work

Three pieces of
infrastructure.
One stack.

Clear Box is building a layered attribution framework, a private inference runtime, and the platform that ties them together. All designed around the same commitment: work you can see on infrastructure you control.

DARP

Live CC BY 4.0

A practical attribution framework for recording who contributed to a work and how, across human and AI collaborators alike. DARP is being refined in the open, with feedback welcome and encouraged to achieve community consensus.

Explore DARP

commonllama

Closed Alpha Apache 2.0

A private, local-first runtime for AI models on your own hardware, engineered to fit capable assistants on modest machines and pool several into a swarm when you need more. No cloud dependency, nothing leaving your machine.

Explore commonllama

commonFrame

Closed Alpha AGPL 3.0†

The workshop where the stack takes shape. Build frameworks, measure how they perform, and test them under duress. commonllama runs the models underneath, and DARP provides the structure for contribution provenance at every step.

Explore commonFrame

† commonFrame is licensed AGPL-3.0 with an added exception. Full exception terms are still being finalized. Check back soon.

An Open Door

Run it, learn it, and
make it yours.

Infrastructure you can see into is infrastructure you can learn from. We make private, accountable work possible on hardware you own with workflows you can inspect.

We welcome anyone thinking about what it means to use AI honestly, whether that's in a classroom, a studio, a library, a lab, or a living room. If you're thinking about AI literacy or local-first work, we'd love to build with you.

From the Workbench

What we're building and where you'll find us next.

Updates

From the Blog

Coming Soon!

Thoughts on human-AI collaboration, updates about our work, and what we're learning from the open community.

Events