Governed Memory for
Enterprise AI Agents.

# Install SDK: pip install memhouse-ai
from memhouse import MemHouseClient

# Initialize client pointing to your local node or VPC endpoint
client = MemHouseClient(
    endpoint="https://memhouse.internal.company.com",
    api_key="mh_live_982347812"
)

# 1. Ingest Observation with Account & Scope headers
observation = client.observations.create(
    account_id="tenant_acme_corp",
    scope="/support/tickets/INV-9042",
    content="User Alice Vance confirmed Acme Corp upgraded to Enterprise SLA plan."
)

print(f"Ingested observation ID: {observation.id}")
print(f"Extracted facts count: {len(observation.extracted_facts)}")

# 2. Query Governed Context for Agent Prompt Construction
context = client.memory.retrieve(
    account_id="tenant_acme_corp",
    scope="/support/tickets/INV-9042",
    query="What plan is Acme Corp on?",
    min_confidence=0.85,
    states=["active"] # Only retrieve human-approved or active facts
)

for fact in context.facts:
    print(f"Fact: {fact.subject} {fact.predicate} {fact.object}")
    print(f"Provenance: {fact.provenance.source_id} | State: {fact.lifecycle_state}")