We hit the context wall. Not the token limit, but the human context limit. We realized our work with AI was evaporating the moment we closed the browser tab.
The Problem
Every new project required assembling the same scattered documents, re-explaining the same architectural constraints to a new chat window, and manually stitching together outputs from three different agents. We were operating powerful intelligences, but forcing them to have amnesia every session.
CortexGraph Vault was born from a selfish need: a solo developer wanting a persistent decision ledger that AI agents could natively read from and write to. We looked at existing tools. Notes apps were too passive. Chat interfaces were too ephemeral. Cloud-based vector databases locked our knowledge behind proprietary APIs.
So we went back to primitives. Plain text. Markdown files. Cloud storage. We built an application that treats these simple files not as dead archives, but as a live, queryable graph—a Model Context Protocol (MCP) server that exposes this graph to any capable agent.
Our Core Belief
Knowledge should compound securely. Agents are transient workers; your context graph is the permanent factory.