Save and organize user memories with frontmatter summaries across conversations.
npx skills add https://github.com/mgr-kb/mgr-dotfiles --skill agent-memory-mgr-kb
Please help me install this Agent Skill. Skill: agent-memory Source: https://github.com/mgr-kb/mgr-dotfiles/tree/main/claude/skills/agent-memory Command: npx skills add https://github.com/mgr-kb/mgr-dotfiles --skill agent-memory-mgr-kb
This skill provides a persistent memory space that survives across conversations, enabling users to save, recall, and organize important information for ongoing work.
Save a memory about a finding by creating a new memory entry under .claude/skills/agent-memory/memories with a short summary frontmatter and the full content.
High-intent search queries and answers about installing and using this skill.
To persist context across sessions, you need a memory store that saves information with summary metadata. This skill captures research findings and architectural decisions, organizing them by category to support recall when starting related work later.
The best way to organize long-term knowledge management is using category-based grouping with frontmatter summaries. This approach supports search, tagging, and lifecycle management, allowing you to consolidate related items and clean up outdated information.
You capture and recall memories by saving entries into a dedicated memories directory. Each entry requires frontmatter with summary and created fields, enabling proactive capture of patterns and automatic context refresh when resuming related tasks.
Yes, category-based organization supports the full knowledge lifecycle. You can create categorized memories, update their status over time, consolidate related items together, and clean up outdated information to maintain an organized persistence store.
Cross-session memory persistence requires a specific directory structure under .claude/skills/agent-memory/memories. Each memory entry must include frontmatter with summary and created fields to support flexible organization and search.
Agents lose context because standard conversations do not retain information. You need a persistent memory space that survives across sessions, allowing you to save valuable knowledge and recall it at the start of new related work.
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