memory-garden

Hierarchical memory storage organizes captured insights into tiered markdown files: daily notes, curated wisdom, and monthly archives. This structure ensures conversation patterns and decisions are searchable and retained without degrading into disorganized logs.

A tiered storage system separates daily notes, curated wisdom, and monthly archives into distinct markdown files. This structure ensures conversation patterns and decisions are searchable and retained without degrading into disorganized logs.

Yes, automating journal entry logging requires a context-aware LLM to extract insights and a file system to store the tiered markdown files. These components are necessary to process conversations and write structured memory entries with metadata.

The 3-month compression rule manages markdown knowledge bases by guiding what to keep, summarize, or discard. It categorizes entries into daily notes, curated wisdom, or monthly archives, ensuring the knowledge base remains lean.

Yes, you can extract decisions and patterns from brainstorming sessions into searchable memory. The skill processes the conversation to record key patterns as curated wisdom entries, ensuring they are structured with metadata for future projects.

Use a hierarchical memory garden instead of standard note-taking when you need to automate knowledge retention from conversations. It is applicable during conversation summarization workflows to capture insights, preventing valuable knowledge from being lost in unstructured logs.