Integrations
Letta
Use CortexDB as archival storage for Letta (MemGPT) agents.
CortexDB backs Letta's archival memory and storage connector, giving agents durable, bi-temporal recall.
Install
pip install cortexdbai[letta]Storage connector
from cortexdb import Cortex
from cortexdb.integrations.letta import CortexDBStorageConnector, CortexDBArchivalStorage
client = Cortex(api_url="https://api-v1.cortexdb.ai", actor="agent:memgpt",
bearer=os.environ["CORTEX_TOKEN"])
scope = "org:acme/agent:memgpt"
archival = CortexDBArchivalStorage(client=client, scope=scope)
# wire archival storage into the Letta agent config