When you run multiple agents across Claude, ChatGPT, and Cursor, each one starts from scratch unless you manually paste context into every session. OzBrain solves this by exposing a shared knowledge substrate that agents read and write through the Model Context Protocol (MCP). The system routes context so agents see only what they need, and teams avoid explaining the same facts to every new agent instance.
The Show HN post drew 85 points and 50 comments because the problem is real: production multi-agent workflows break down when context lives in isolated chat histories or scattered documents. OzBrain's architecture treats knowledge as a first-class resource with explicit scoping, indexing, and conflict resolution.
Storage Layer and Scope Boundaries
OzBrain organizes knowledge into brains, which are either personal or shared. Each brain holds structured knowledge units that agents query through the MCP connector. The system decides scope at write time:
Personal brains store user-specific preferences, writing style, and private project state.
