Back to ProjectsThree-layer design: raw sources, an LLM-maintained wiki, and a schema (CLAUDE.md) that governs how agents ingest/query/lint/dispatch Entity notes with frontmatter (`path`, `aliases`, `tags`) that link real folders to wiki nodes Dispatch layer that lets an agent resolve a request to the right folder and act there safely Ships as an Acme-sample vault — zero personal or client data
company-ai-os
Open-source AI operating system — an Obsidian vault agents can act from.
System Overview
What the project does
A sanitized, public reference implementation of an "AI OS": an Obsidian markdown vault structured so AI agents can read it as a map and act inside real project folders.
Key features
Tech stack
Markdown, Obsidian, CLAUDE.md-driven agent instructions.
Use case
For anyone who wants a second-brain vault that isn't just notes — one an AI agent can actually navigate and use to do real work in the right place.
Architecture Details
This system integrates multiple components for a seamless automation flow. Structural interpretation based on project focus:
Backend Infrastructure
Core execution layer for robust data processing and API handling.
AI / Logic Core
Intelligent decisioning via models or logical workflow rules.
Tech Stack
IntegrationAutomationAPIs
Key Capabilities
- ▹ Custom workflow execution
- ▹ Data transformation and routing
- ▹ Extensible architecture