Enterprise AI & Workplace Automation DeadlockSubmitted July 26, 2026

ContextOS

An MCP app on the Model Context Protocol built by Deadlock at the Amrita University Coimbatore NitroStack × MCP To The Moon hackathon and deployed on NitroStack.

About this project

ContextOS is a permanent, queryable engineering memory layer that sits on top of your team's existing tools (GitHub, Slack, codebase) and answers technical questions with full citations — no hallucinations. Engineering knowledge lives in scattered Slack messages, old PRs, and senior engineers' heads. When someone new joins and asks "Why did we choose Redis?" or "What breaks if I change CheckoutService?" — nobody knows where to look. Its meant for Engineering teams. Specifically: new engineers who need to get up to speed fast, senior engineers who are tired of answering the same questions repeatedly, and engineering managers who want institutional knowledge to survive team turnover. Any company using GitHub and Slack can plug it in immediately — no migration, no setup.

Enterprise AI & Workplace Automation track

Develop AI agents and automation tools that improve productivity, streamline workflows, and enhance business operations.

Source code

Team Deadlock

  • Anush SivakumarLead

  • Krishnarjun Balamurugan

  • Shris Mahesh

  • Theajaa Vijayakumar

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Frequently asked questions

What does ContextOS do?
ContextOS is a permanent, queryable engineering memory layer that sits on top of your team's existing tools (GitHub, Slack, codebase) and answers technical questions with full citations — no hallucinations. Engineering knowledge lives in scattered Slack messages, old PRs, and senior engineers' heads. When someone new joins and asks "Why did we choose Redis?" or "What breaks if I change CheckoutService?" — nobody knows where to look. Its meant for Engineering teams. Specifically: new engineers who need to get up to speed fast, senior engineers who are tired of answering the same questions repeatedly, and engineering managers who want institutional knowledge to survive team turnover. Any company using GitHub and Slack can plug it in immediately — no migration, no setup.
Who built ContextOS?
ContextOS was built by team Deadlock at the Amrita University Coimbatore NitroStack × MCP To The Moon hackathon, in the Enterprise AI & Workplace Automation track.
What is an MCP app and how is it built?
An MCP app is an application built on the Model Context Protocol — an open standard that lets AI agents connect to tools, data, and APIs. This project exposes MCP tools and resources that agentic AI systems can call. It was built and deployed on NitroStack, the full-stack platform for shipping MCP apps and servers.