This release includes breaking changes for platform teams planning a safe upgrade.
✓ No known CVEs patched in this version
Summary
AI summaryUpdates Known Issues & Limitations, DEU-84, and Full Changelog https://github.com/deusXmachina-dev/memorylane/compare/v1.5.2...v1.5.3 across a mixed release.
Full changelog
MemoryLane v1.5.3
Managed model configuration is now strict and deterministic, and task miner sweeps run on a stable poll interval with clearer diagnostics.
What's Changed
- Managed model config: Managed slots now fall back to baked vendor presets and take models strictly from remote config. Deterministic startup without idle machinery or first-fetch retry backoff (#250).
- Task miner sweep polling: Mining sweeps run on a configurable poll interval instead of being driven by capture triggers. Failed sweeps retry on an internal backoff timer (#251).
- Task miner diagnostics: Idle reasons now appear in packaged logs, making stalled mining easier to diagnose (#253).
Known Issues & Limitations
- Existing per-machine Windows installs (v1.3.x and earlier) are not removed automatically: uninstall MemoryLane from Program Files once (requires admin), then run the new setup.
- Vertex managed-mode bearer tokens aren't refreshed in-flight — long-running operations that outlive the token TTL may see 401s until the next refresh cycle (DEU-84).
- Windows OCR still depends on native OCR component availability.
- Intel macOS is not yet officially supported.
Installation
- macOS customer (Apple Silicon): install from the GitHub release page.
- macOS enterprise (Apple Silicon):
MemoryLane Enterprise-arm64-mac.pkg— delivered privately per customer. - Windows customer:
MemoryLane-Setup.exe— installs per-user, no admin needed. - Windows enterprise:
MemoryLane Enterprise-Setup.msi— delivered privately per customer.
Full Changelog
https://github.com/deusXmachina-dev/memorylane/compare/v1.5.2...v1.5.3
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About deusXmachina-dev/memorylane
Desktop app that captures screen activity via event-driven screenshots, stores AI-generated summaries and OCR text locally in SQLite, and exposes your activity history to AI assistants via MCP with semantic search, timeline browsing, and event detail retrieval.
Related context
Beta — feedback welcome: [email protected]