Agent control plane
An agent control plane is the management layer that lets a team run, coordinate, and supervise its AI coding agents from one place: shared context, scheduled runs, budgets, approvals, and an audit trail, across every tool and machine the team uses.
The term borrows from infrastructure: a control plane does not do the work itself, it decides and supervises. Applied to coding agents, the work happens in the tools developers already run (Claude Code, Cursor, Codex, Gemini CLI); the control plane is where the team sees all of it, directs it, and sets the rules it must follow.
A control plane for coding agents earns the name when it covers four jobs: shared coordination (agents see each other's interfaces and intent), execution (scheduled or triggered managed runs with hard budgets), supervision (a live view plus an approvals inbox for anything irreversible), and audit (who did what, when, with evidence).
Aethereum implements this vendor-neutrally: one plane over everyone's coding agents, with the privacy stance that source code never leaves the team's own machines; the server carries coordination metadata, never source.