Building Memory-as-a-Service (MaaS) for Autonomous Agent Fleets
In multi-agent systems, agents must share collective intelligence without overwriting individual workspace context.
Spector MaaS provides a centralized HTTP/gRPC memory control plane with multi-tenant workspace isolation.
from spector import SpectorTenantClient
client = SpectorTenantClient(
endpoint="https://maas.spectrayan.com",
api_key="sp_live_99201"
)
# Remember across multi-agent fleet
client.remember_shared(
workspace_id="spectrayan-oss",
content="CTO approved static Firebase deployment architecture for spectrayan.com",
visibility="team"
)
Multi-Tenant Security
Each workspace uses isolated memory segments and cryptographic tenant keys to ensure zero data leakage between agent fleets.