Add persistent memory to Google Agent Development Kit agents.
Google ADK Integration
Google's Agent Development Kit gives agents tools and orchestration. Register CortexDB recall + capture as ADK tools and the agent picks them up automatically.
Install
pip install cortexdbai google-adk
Pattern
import os
from datetime import datetime, timezone
from uuid import uuid4
from google.adk.agents import LlmAgent
from google.adk.tools import FunctionTool
from cortexdb.v1 import V1Client
client = V1Client(api_url="https://api-v1.cortexdb.ai", actor="user:alice",
bearer=os.environ["CORTEX_TOKEN"])
SCOPE = "org:acme/user:alice"
def recall_long_term(query: str) -> str:
"""Recall prior context from long-term memory."""
pack = client.recall(scope=SCOPE, view="holistic", query=query,
include=["beliefs", "facts", "episodes"],
budgets={"max_tokens": 3000})
return pack["context_block"] or "(no relevant context)"
def capture(text: str, role: str = "assistant") -> str:
client.experience(scope=SCOPE, text=text, role=role,
observed_at=datetime.now(timezone.utc).isoformat(),
idempotency_key=f"adk-{role}-{uuid4()}")
return "captured"
agent = LlmAgent(
name="memory_agent",
model="gemini-2.0-flash",
instruction="Recall before answering; capture after each turn.",
tools=[FunctionTool(recall_long_term), FunctionTool(capture)],
)