Extract typed observations from session transcripts and score them by importance, confidence, and surprise.
npx skills add https://github.com/adiman9/mnemos --skill observe-adiman9
Please help me install this Agent Skill. Skill: observe Source: https://github.com/adiman9/mnemos/tree/main/core/skills/observe Command: npx skills add https://github.com/adiman9/mnemos --skill observe-adiman9
Extract typed observations from session transcripts and convert them into structured notes for memory and daily review, enabling faster analysis and more actionable recall.
Process new transcripts from the vault and emit typed observations to the daily logs.
High-intent search queries and answers about installing and using this skill.
To extract structured observations from session transcripts, this Skill processes files stored under vault_path/memory/sessions, scoring them by importance, confidence, and surprise, and routes the typed notes to daily logs and MEMORY.md.
Yes, transcript log analysis supports cron-friendly incremental execution with cursor tracking, allowing you to process only new session transcripts and append observations to daily logs without reprocessing previous files.
NLP scoring for typed observations evaluates each extracted note by assigning values for importance, confidence, and surprise, providing a quantifiable structure for prioritizing transcript insights in your memory logs.
Organize session transcripts under the vault_path/memory/sessions directory to enable automated observation extraction, which routes the structured output directly to vault_path/memory/daily logs and MEMORY.md.
Yes, the transcript observation tool enforces a strict, self-contained output format that prevents fabrication, ensuring all extracted notes and scored observations are grounded strictly in the source session transcripts.
Yes, you can apply optional scope filters during transcript processing to limit observation extraction to specific sessions, ensuring only targeted data is routed to your daily logs and MEMORY.md.
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