Remove the proactive-memory preference and its cross-platform runtime plumbing so memory behavior has one clear contract. Normalize away the obsolete setting and keep source type limited to provenance.
Resolve private ranking display names, apply privacy preprocessing consistently across cached recaps and structural labels, and bound model-visible overview payloads to the configured tool budget.
Count complete tool payloads with the runtime tokenizer so Chinese evidence respects the configured model context budget.\n\nResolve contact sources incrementally with cancellation checks and targeted member lookups to keep long cross-chat investigations responsive.
Replace message content and structured user entity references in one database statement. Treat omitted references as an explicit clear so edited prompts cannot replay stale identities.
Use native Window Controls Overlay geometry and sampled background colors so caption hover and drag regions track the system title bar.
Forward original Windows close-handler errors to the shared logger so failures retain their stack traces.
Remove the one-time close prompt and remembered-choice path so Windows close behavior is always explicit and predictable. New installations now minimize to the system tray by default, while users can still choose to quit from settings.
Close the uncached readonly adapter after every Desktop export so Windows can delete the session without restarting. Add regression coverage for the successful export lifecycle.
Match ownerless QQ exports safely across UID and UIN drift, preserve merged message scopes through single and batch imports, and apply only sender mappings proven by overlapping platform message IDs. Reject incomplete group mappings to avoid member identity corruption.
Preserve batch support through telemetry, forward item-scoped progress across Desktop and CLI Web, and retain original backend failure details for diagnostics and unfinished results.
Run benchmarks in isolated GC-enabled workers, report sparse RSS samples accurately, and hash canonical imported output. Require the Rust Native WeFlow kernel and reject any measured import that falls back to TypeScript so timing and memory baselines remain comparable.
Add self-hosted Umami reporting alongside existing telemetry across Desktop and CLI Web.
Track normalized startup, import, feature, and AI usage with a stable anonymous ID and strict privacy allowlists. Keep incremental usage platform-independent and preserve accurate failure classifications and platform metadata across import paths.
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