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1.0.rc2 - Experienced LLMs

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@developer88 developer88 released this 26 Sep 22:11
· 28 commits to main since this release
1.0.rc2
9de4d03

Experienced LLMs 1.0.rc2: Multi-Scheduler Support & Timezone Robustness

Second release candidate of Experienced LLMs — autonomous, self-learning cognitive memory system for AI coding agents.

Changes & Enhancements in RC2

  • Configurable Multi-Scheduler Architecture: Added support for selecting between auto, cron, and schtasks via experienced-llms schedule --install --type [auto|cron|schtasks]. Works across native Linux, macOS, WSL, and Windows.
  • Windows Task Scheduler & On-Boot Trigger: Added Windows Task Scheduler support bridging WSL execution (wsl.exe -d Ubuntu -- bash -lc ...) and an on-boot background startup script so consolidation passes run even if the PC was turned off during the scheduled 02:00 AM pass.
  • Multi-Schedule Status Monitoring: experienced-llms schedule --status dynamically checks and displays whichever schedulers are active on the system (both crontab and Windows Task Scheduler).
  • Timezone-Aware Date Filtering: Enhanced SQLite query layer (src/db.py) to support both localtime and UTC strftime('%Y-%m-%d') evaluation around midnight boundaries.
  • Repository Cleanup: Removed obsolete prototype demo files from the initial mockup phase.
  • Acceptance Verification: Verified end-to-end installation via install.sh, autonomous logging via agy, log inspection, and consolidation passes.

One-Click Installation

# Linux / macOS / WSL
curl -fsSL https://raw.githubusercontent.com/developer88/experienced-llms/main/install.sh | bash

# Windows PowerShell
irm https://raw.githubusercontent.com/developer88/experienced-llms/main/install.ps1 | iex

Full Changelog: 1.0.rc1...1.0.rc2

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