Overview
Noi (pronounced /nɔɪ/) is an interaction-first, local-first desktop/web client designed to make working with AI chats and large language models more structured and productive. It focuses on reducing context chaos by providing multi-window workspaces, session isolation, and tools for managing prompts and conversations so users can run parallel workflows without cross-contamination of state or history.
Key Features
- Interaction-first workflow: prioritizes conversational and task-driven interactions for a focused browsing/AI experience.
- Multi-window management: run multiple workspaces or side-by-side sessions to handle parallel tasks.
- Session isolation: separate browsing and chat contexts so histories, cookies, and states do not leak between tasks.
- Local-first data storage: history, prompts, and settings are stored on-device to give users privacy and control.
- AI chat prompt management: organize, reuse, and iterate on prompts and chat workflows for repeatable results.
- Built-in terminal: run local commands and scripts quickly from within the app to speed up developer workflows.
- Themes & visual styles: multiple UI themes for different setups and moods.
Who it's for
Noi targets power users, developers, researchers, and professionals who rely on LLMs and AI chats as part of their daily workflow and need better session management, reproducibility, and local control. It's useful when you want to run separated experiments, maintain distinct project contexts, or integrate local tooling and scripts with conversational AI.
Platform & Project Info
- Project homepage: https://noib.app
- Repository: GitHub (https://github.com/lencx/Noi)
- Emphasis on local-first privacy, workflow organization, and multi-context management makes Noi a client-focused complement to cloud LLM services.
Notes
Noi is positioned as an application-level client rather than an LLM provider; it integrates and organizes interactions with models and related tools. The project emphasizes usability features (multi-window, prompts, session isolation) that help teams and individuals scale conversational workflows.
