Kin is a private, self-hosted AI-Agent workspace for small teams.
One-command Docker. Single org, multiple trusted users. The image runs on the machine you choose — works out of the box.
Like ChatGPT's Shared Projects — but self-hosted. Sessions, knowledge and output are shared across the team, with invites and access you control.
Upload documents into a knowledge base; the agent answers grounded in retrieval over your own vector database — something a desktop app simply can't give you.
Extend Kin with plugins — like an OCR component that scans complex PDFs and extracts table structure.
Spin up a React + Vite app inside an isolated sandbox and share a real public link with anyone — scripts, routing and storage all actually work.
Bring any model via API — GLM, DeepSeek, GPT, Qwen — or point Kin at your own endpoint. No vendor lock-in; the menu only shows models that probe healthy.
Data-sensitive teams under ~30 people — heavy AI users with no platform-ops team and no room for a data leak.
Client confidentiality and privilege — work that public AI tools can break.
MNPI, deal and portfolio data that can never leak.
Family privacy and assets, with zero exposure.
Unpublished IP and grant data, kept in your own lab.
Optimized for "one-command Docker, works out of the box for a team", not elastic public-SaaS scale. Open-source (AGPLv3), self-hosted — your documents, sessions and audit stay on your server, and model calls go only to the endpoint you choose.