yarnnn is an AI-first workspace that gives teams a shared file system where humans and AI assistants work side-by-side, with every change signed and versioned. It connects to models from Anthropic, OpenAI, Google, and others, so work created in one AI is accessible and traceable in another. The platform exports as a standard git repository, ensuring users retain full ownership of their work.
Funding
Funding not disclosed
Founders
Product
Problem
Work with AI happens in isolated chat windows that are invisible to teammates and unfindable later. The real output—drafts, decisions, analysis—gets copy-pasted by hand into docs, threads, and emails, making the user a "human clipboard" between their AI and their team. This fragmented workflow loses context, history, and accountability.
Solution
yarnnn provides a neutral, AI-first workspace with a shared file system where humans and multiple AI models work together on the same documents. Every change—whether made by a person or an AI—is signed with its author's name and stored as a versioned commit, creating a full traceable history. The platform connects to models from Anthropic, OpenAI, Google, and DeepSeek via OAuth, letting users write in one AI and see the result appear in another without copy-paste. Files and revision history export as a standard git repository, so users own their work completely and can take it anywhere. The workspace is designed for small teams starting with one person, with no admin console or procurement required.
Target Audience
Small teams—starting at one person—who already work with AI daily and need a shared, traceable workspace that isn't locked to a single model provider.
Features
- Signed write path: every change carries the author's name, whether human or AI, enforced at the source
- Cross-model compatibility: connects to Anthropic, OpenAI, Google, and DeepSeek models in one shared workspace
- Full git export: entire workspace exports as a standard git repository with real commits, walkable offline
- Trace feature: shows how any fact changed over time, who changed it, and what it was before
- Pay-as-you-go usage: shared balance with per-member spend caps, starting with a $3 credit
- OAuth-based assistant access: connected AIs can read, write, move, delete, and share files, with revocable access
- No training on your data: workspace content is never used to train models, and no retention timer deletes work