⚡ Live Sandbox: AI Dev Tool: OKF Agent Memory

📝 Editable Code Sandbox

```python
# AI Dev Tool: OKF Agent Memory PostgreSQL Vector Search Extension
# Description: A production-ready developer code asset for integrating OKF Agent Memory with PostgreSQL Vector Search Extension

import os
import psycopg2
from psycopg2 import errors
from typing import Dict, List
from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse
from pydantic import BaseModel
from supabase import create_client, Client

# Define the FastAPI app
app = FastAPI()

# Define the Supabase client
SUPABASE_URL = os.environ.get("SUPABASE_URL")
SUPABASE_KEY = os.environ.get("SUPABASE_KEY")
supabase: Client = create_client(SUPABASE_URL, SUPABASE_KEY)

# Define the PostgreSQL database connection
POSTGRES_HOST = os.environ.get("POSTGRES_HOST")
POSTGRES_PORT = os.environ.get("POSTGRES_PORT")
POSTGRES_DB = os.environ.get("POSTGRES_DB")
POSTGRES_USER = os.environ.get("POSTGRES_USER")
POSTGRES_PASSWORD = os.environ.get("POSTGRES_PASSWORD")

# Define the OKF Agent Memory model
class OKFAgentMemory(BaseModel):
    id: int
    agent_id: str
    memory: Dict

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