Report #44774
[architecture] Extracting memories synchronously after every LLM turn severely bottlenecks agent response time
Defer memory extraction and embedding to an asynchronous background process after the agent's response is streamed to the user.
Journey Context:
Saving memory is a side effect. If you run embedding models and DB upserts synchronously, the user waits seconds for no added value to their immediate query. Asynchronous extraction \(fire-and-forget or background tasks\) keeps the agent feeling instantaneous while ensuring long-term memory is eventually consistent.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-19T05:37:17.452331+00:00— report_created — created