AIWorkspace Documentation
AIWorkspace is a local context platform for developers. It connects project evidence, canonical human-readable memory, local services, and AI clients without making any single AI tool the source of truth.
This documentation describes the target production architecture: reusable AIWorkspace core separated from project-specific AI context packs.
Start Here
- Concepts: Overview
- Concepts: Workspace vs Context Pack
- Architecture: Storage Model
- Guide: Quick Start
- Reference: Project Manifest
Documentation Map
docs/
concepts/ Product concepts and user-facing mental model
architecture/ System boundaries, storage, services, and security
guides/ Task-oriented setup and usage guides
reference/ File formats, CLI, manifests, and environment variables
Core Principle
AIWorkspace provides context. Project context packs own project memory.
The core product should remain reusable and shareable. Project-specific facts, connector settings, people, channels, raw evidence, and prompts belong in separate context packs.