@superinstance/agent-field
v0.1.0
Published
Shared tensor field for within-agent room coordination with 9-channel semantics
Readme
agent-field
Shared tensor field for within-agent room coordination.
9-channel semantics: confidence, entropy, drift, focus, gap, salience, coupling, resonance, phase.
Rooms are views into a shared tensor. Coupling is a matrix. Gaps self-organize.
Installation
pip install agent-fieldStandalone — no hard dependencies. Optionally integrates with flux-tensor-midi for FluxVector/TZeroClock support.
Quick Start
from agent_field import AgentField
field = AgentField()
sensor = field.add_room("drift-sensor", role="sensor")
predictor = field.add_room("drift-predict", role="predictor")
field.couple(predictor, sensor, strength=0.9)
field.sensor_write(sensor, [0.8, 0.2, 0.01, 0.9, 0.0, 1.0, 0.0, 0.0, 0.0])
field.tick()
print(field.focus_queue())
print(field.field_report())License
MIT
