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Memory Context Pipeline v1.2.1

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@darks0l darks0l released this 27 Feb 13:39

Release Notes - v1.2.1

Added

  • skill/scripts/orchestrate_memory_cycle.py
    • One-command chain: trigger -> route -> store
  • docs/ORCHESTRATOR.md
  • examples/orchestrator-example.ps1

Why

Turns individual helpers into a practical single-step operator workflow.

Memory Context Pipeline v1.2.0

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@darks0l darks0l released this 27 Feb 13:37

Release Notes - v1.2.0

Added

  • skill/scripts/validate_vision_tasks.py for multimodal route validation
  • skill/scripts/enforcement_check.py for 10k compaction posture checks
  • docs/VALIDATION.md with tuning guidance and operator runbook

Updated

  • Config template now separates text vs vision confidence thresholds
  • README includes validation commands and enforcement clarification

Intent

Close the loop on:

  • screenshot/vision task validation
  • confidence tuning for multimodal extraction
  • clear understanding of soft vs practical hard enforcement above 10k

v1.1.3 - Deterministic Multimodal Router

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@darks0l darks0l released this 27 Feb 02:50

Release Notes v1.1.3

Added

  • Deterministic multimodal branch in context_router.py
    • --has-image flag for explicit image-bearing turns
    • vision task routing (image-caption, screenshot-summary, ocr-extract)
    • route output now includes model, fallback_chain, confidence, and decision_trace

Improved

  • Default local fallback behavior now explicit: local (lfm2) -> premium (opus) for local-routed turns
  • Router output now includes needs_premium_review signal for low-confidence paths

Tests

  • Added unit tests for routing behavior in tests/test_context_router.py
    • premium default path
    • local task path
    • token threshold trigger
    • image/vision routing paths

Memory Context Pipeline v1.1.2

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@darks0l darks0l released this 27 Feb 02:18

Housekeeping release: ignore runtime .trigger_state.json files from version control.

Memory Context Pipeline v1.1.1

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@darks0l darks0l released this 27 Feb 02:18

Release Notes - v1.1.1

Added

  • skill/scripts/auto_trigger.py

    • Auto-trigger decisions for channel-memory writes using:
      • context-length threshold
      • explicit remember intent
      • periodic digest interval
    • Per-channel trigger state file for throttling and consistency
  • docs/AUTO_TRIGGERS.md

  • examples/auto-trigger-example.ps1

Improved

  • Clarified automation flow from trigger decision -> memory append
  • Strengthened practical path toward fully automatic channel organization

Memory Context Pipeline v1.1.0

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@darks0l darks0l released this 27 Feb 00:08

Release Notes - v1.1.0

Added

  • skill/scripts/channel_memory_store.py for automatic channel-scoped append logs
  • skill/references/channel_layout.md documenting the lean folder structure
  • examples/channel-memory-example.ps1 for Windows usage

Channel memory layout

  • memory/channels/<guild_id>/<channel_id>/YYYY-MM-DD.md
  • memory/channels/<guild_id>/<channel_id>/summaries/YYYY-Www.md

Design intent

  • Better long-run organization for active Discord environments
  • Lower retrieval noise by scoping memory per channel
  • Keep writes efficient via append-only + trigger-based events

Memory Context Pipeline v1.0.1

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@darks0l darks0l released this 26 Feb 23:39

Release Notes - v1.0.1

Changed

  • Clarified 10k behavior as a soft compaction threshold (not a hard cap)
  • Added practical model guidance for choosing lfm2 vs qwen3.5:35b
  • Added Windows gh CLI path note for environments where GitHub CLI is installed but not on PATH

Why this matters

  • Prevents confusion about strict token limits
  • Helps operators pick the best local model for speed vs quality
  • Reduces friction when publishing releases from Windows hosts

Memory Context Pipeline v1.0.0

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@darks0l darks0l released this 26 Feb 23:38

Release Notes - v1.0.0

Added

  • Initial memory-context-pipeline skill
  • Router script (context_router.py)
  • Output validator (validate_output.py)
  • Worker prompt reference
  • JSON schema output contract
  • Config template for local/premium routing
  • Packaged skill artifact support (.skill)

Operational changes

  • Discord thread-bound subagent spawn support configured
  • Automatic memory flush compaction policy configured at 10k soft threshold

Recommended model strategy

  • Fast path: lfm2
  • High-quality local pass (if hardware allows): qwen3.5:35b

Known limitations

  • 10k behavior is a soft compaction threshold, not a hard token firewall
  • Full automation quality depends on local model health/latency