agent_001
axis: real_estate
state: +1 PMA
SWARM MACHINE
Multi-agent orchestrator. Bounded by objective.
Every agent receives an explicit axis-vector dispatch envelope before execution. No agent decomposes a problem to which it was not given a bounded scalar objective. The result: parallel agents partition the problem cleanly instead of overlapping. No combinatorial sprawl.
Live Dispatch — Sample Frame
agent_002
axis: iprofit
state: +1 PMA
agent_003
axis: datum
state: 0 scan
agent_004
axis: pantheon
state: +1 PMA
agent_005
axis: viper_optics
state: +1 PMA
agent_006
axis: tigerstripes
state: 0 scan
agent_007
axis: helixilee
state: +1 PMA
agent_008
axis: gravitron
state: +1 PMA
The Two Locked Principles
1. One axis vector per agent dispatch
Every swarm worker receives an explicit objective vector before execution. No agent decomposes a problem to which it was not given a bounded scalar objective. Prevents combinatorial sprawl.
2. State and knowledge separated at every contract boundary
Operational state (workflow progress, queue depth, audit chain head) is a different bus than knowledge state (substrate data, market signal, audit log). Mixing them is the most common multi-agent failure mode and is forbidden by the dispatch envelope.