1. Conduid
  2. RAG
  3. ContextOS
MCP server · RAG

ContextOS

by · github.com/sairam0424/ContextOS

The Autonomous Spatial Intelligence Layer for AI Agents. ContextOS bridges the gap between raw development activity and structured AI context using a 3D Aether HUD, Gemini-powered Janitor Agents, and Graph-aware Spatial RAG.

Unclaimed 3d-visualizationai-agentsclideveloper-toolsknowledge-graphmcpmodel-context-protocolobservabilityragresiliencespatial-intelligencetypescript
InstallView source
34Low

Scored yesterday · breakdown

About ContextOS

ContextOS is an MCP server published by sairam0424 in the RAG category: the Autonomous Spatial Intelligence Layer for AI Agents. ContextOS bridges the gap between raw development activity and structured AI context using a 3D Aether HUD, Gemini-powered Janitor Agents, and Graph-aware Spatial RAG.

The repository has 2 stars and 0 forks, with the last commit 2 days ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/sairam0424/ContextOS

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

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Questions

About ContextOS

How do I install ContextOS?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is ContextOS safe to use with an AI agent?

Its trust score is 34 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is ContextOS still maintained?

Yes — the last commit was 2 days ago. The repository has 2 stars and 0 forks.