# ContextOS MCP server

> Provides a unified context intelligence layer for AI agents with advanced reasoning, retrieval routing, and self-healing indexes.

- Repository: https://github.com/itallstartedwithaidea/ContextOS
- Page: https://hostedmcp.org/servers/itallstartedwithaidea/contextos
- Transport: —
- Stars: 29

## FAQ

### What is ContextOS?

ContextOS is the operating system layer for AI context, serving as a unified MCP server and CLI that manages retrieval, reasoning, and generation.

### How does the Retrieval Router work?

It classifies data sources by their churn rate (Live, Warm, or Cold) to select the most efficient retrieval strategy, such as direct API pulls or vector searches.

### Does ContextOS support existing MCP servers?

Yes, it is 100% compatible with all existing MCP servers and adopts MCP as its native schema.

### What is the Cognition Layer?

It is a reasoning layer that performs operations like Active Forgetting and Reasoning Depth Calibration between retrieval and generation.
