Customer-support bot with persistent facts

The bot remembers what each customer told it, even across process restarts. Facts (user X says they live in Tokyo, account Y is on the enterprise plan) get extracted automatically after every conversation.


import asyncio
from loomflow import Agent
from loomflow.runtime import SqliteRuntime
 
async def main():
    # Postgres URL → resolver builds PostgresMemory + pgvector
    # facts table on first agent.run. Schema migrations are
    # idempotent; nothing to remember.
    agent = Agent(
        instructions=(
            "You are a customer-support agent for Acme. "
            "Use any known facts about the user to personalize replies. "
            "Cite the fact's source when you rely on it."
        ),
        model="claude-opus-4-7",
        memory="postgres://localhost/support_bot",
        runtime=SqliteRuntime("./support_journal.db"),
        # auto_extract=True is the default — every run auto-pulls
        # structured facts from the conversation into the bi-temporal
        # store, partitioned by user_id.
    )
 
    while True:
        prompt = input("User> ")
        if not prompt:
            break
        # In a real bot, ``user_id`` comes from your auth layer.
        result = await agent.run(prompt, user_id="user_42")
        print(f"Bot> {result.output}")
 
asyncio.run(main())

The first time a user mentions their plan tier, the consolidator extracts a fact like ("user", "subscription_plan", "enterprise"). Later runs see it in the Known facts: section of the system message and tailor responses without asking again. Plan changes? Supersession closes off the old fact’s validity window automatically. Historical queries still work.