A Coding Implementation to Build Agent-Native Memory Infrastructure with Memori for Persistent Multi-User and Multi-Session LLM Applications
banner(“Part 5 — Streaming”) mem.attribution(entity_id=”[email protected]”, process_id=”personal-assistant”) stream = client.chat.completions.create( model=MODEL, messages=[{“role”: “user”, “content”: “In two sentences, what do you remember about me?”}], stream=True, ) print(“[stream] “, end=””) for chunk in stream: d = chunk.choices[0].delta.content if d: print(d, end=””, flush=True) print(); time.sleep(WRITE_DELAY) banner(“Part 6 — Async LLM calls”) async def async_demo(): r = await async_client.chat.completions.create( model=MODEL,…