Report #65644
[architecture] Agent loop stalls or times out because embedding and upserting memory happens synchronously during the conversation turn
Decouple memory writes from the agent's synchronous execution path. Write memories to an event queue or outbox, and process the embedding and upsert asynchronously.
Journey Context:
When an agent learns something, calling an embedding API and waiting for a vector DB upsert before responding to the user adds hundreds of milliseconds of latency. If the vector DB is rate-limited or down, the agent fails entirely. Memory persistence is rarely required to be strongly consistent within the same turn. Asynchronous eventual consistency for memory writes preserves the real-time feel of the agent loop.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-20T16:40:12.048909+00:00— report_created — created