Classify session findings and store them in appropriate memory destinations.
npx skills add https://github.com/dropsyoon/oh-my-claudecode --skill remember-dropsyoon
Please help me install this Agent Skill. Skill: remember Source: https://github.com/dropsyoon/oh-my-claudecode/tree/main/skills/remember Command: npx skills add https://github.com/dropsyoon/oh-my-claudecode --skill remember-dropsyoon
It prevents useful discoveries from getting buried in conversation by helping you preserve and organize project knowledge for future use.
Ask the AI to use remember to review the latest session findings and decide what to store in project memory versus the appropriate notepad or documentation.
High-intent search queries and answers about installing and using this skill.
To organize project documentation, you can route chat insights into appropriate memory destinations like durable project memory or notepad notes. The system classifies findings, proposes destinations, and writes concise entries to preserve knowledge for future use.
Handling deduplication in a knowledge management workflow involves flagging duplicate items, stale entries, and conflicting information. This ensures your knowledge base stays clean by identifying overlapping session knowledge before storage.
Yes, you can use a session review to separate temporary working notes from durable project facts. The routing process classifies findings and directs them to either short-term notepad notes or long-term memory based on durability.
Memory routing handles uncertain information by marking it specifically as uncertain instead of storing it as a confirmed fact. This keeps concise, actionable storage reliable while preserving the finding for future validation.
No, workflow organization for memory routing does not require any specific dependencies or components. It operates independently to classify session findings, handle conflicts, and write to appropriate memory surfaces.
You should not use memory routing when your session findings are strictly transient and require no future retrieval, as the process is designed to promote reusable knowledge into durable or short-term memory destinations.
RobinNorbergClassify session findings and route them into project memory, notepad, or durable docs.
arisngStores issues and dependencies in a git-backed store for persistent cross-session memory.
Jurel89Classify project knowledge into memory surfaces for future reference.
Abulfadl-AhmadiIdentify and merge duplicate pages in an Obsidian wiki using Python.
