Two big features in this update: parallel training runs and the MCP server.
Parallel runs let you train multiple git branches simultaneously — each gets its own workspace, log file, and TensorBoard instance. The MCP server (pip install beekeeper-mcp) lets Claude and other MCP-compatible agents control your training server directly via tool calls.