Add long-term memory to IBM BeeAI Framework agents.
BeeAI Integration
IBM's BeeAI Framework builds agents with composable tools. Register CortexDB recall + capture as Tools.
Install
pip install cortexdbai beeai-framework
Pattern
import os
from datetime import datetime, timezone
from uuid import uuid4
from beeai_framework.tools import Tool
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"
class RecallTool(Tool):
name = "recall_long_term"
description = "Recall prior context from long-term memory."
async def _run(self, input):
pack = client.recall(scope=SCOPE, view="holistic", query=input["query"],
include=["beliefs", "facts", "episodes"],
budgets={"max_tokens": 3000})
return pack["context_block"] or "(no relevant context)"
class CaptureTool(Tool):
name = "capture"
description = "Capture a conversation turn into long-term memory."
async def _run(self, input):
client.experience(scope=SCOPE, text=input["text"], role=input.get("role", "assistant"),
observed_at=datetime.now(timezone.utc).isoformat(),
idempotency_key=f"beeai-{uuid4()}")
return "captured"