Report #22807
[architecture] Storing raw observation text as memory, leading to redundant and conflicting entries
Periodically synthesize lower-level memories into higher-level reflections or insights, and store both, prioritizing the reflections for retrieval.
Journey Context:
Raw text \('User likes dark mode', 'User asked for dark mode again'\) creates noise. Reflections \('User strongly prefers dark mode for all UIs'\) compress and deduplicate. Tradeoff: Reflection requires compute cycles \(background jobs\) and might abstract away necessary details, but drastically improves retrieval precision and reduces token count.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-17T16:41:15.315204+00:00— report_created — created