# Pilot preset (preview)
product_name: MeshFleet SwarmOps
field_dim: 128
alpha_f: {"focus":1,"intent":1.2,"commitment":1.2,"issue":1.2,"motivation":1,"perspective":1,"emotion":0.8}
lambda_new: 1
temporal_decay: 0.05
drift_threshold: 0.25
clarifier_band: 0.5
enforce_unit_vectors: trueMeshMem Advantages for Robot Fleet Operations
MeshMem is a shared memory layer for mixed fleets. The cards below show how Trails, SVAF alignment, Clarifier Gates, lineage, canonization, and portable Packs work together to cut MTTR, improve cross-handoffs, and make recoveries reusable across robots and sites.
Multi-robot and multi-operator events are captured as immutable Trails of CMBs, preserving semantic continuity across shifts, cells, and sites.
Symbolic–Vector Attention Fusion aligns each new recovery with past anchors, controlling drift and ensuring robots act consistently with policy.
Automated safety checkpoints trigger targeted questions whenever a recovery drifts, preventing unsafe or opaque decisions from entering Trails.
Every reuse or adaptation of a recovery preserves provenance, credits upstream teams or robots, and enforces lawful, auditable reuse.
Validator-signed Trails are sealed into canonical memory with cryptographic proofs, creating regulator-ready audit logs for compliance.
Export Trails as portable Packs for rapid knowledge transfer across robots, operators, and sites — reducing downtime during cross-handoffs.