Parse markdown files to manage an AI's multi-layered memory system.
npx skills add https://github.com/BEKO2210/Firstbrain --skill memory-beko2210
Please help me install this Agent Skill. Skill: memory Source: https://github.com/BEKO2210/Firstbrain/tree/main/.agents/skills/memory Command: npx skills add https://github.com/BEKO2210/Firstbrain --skill memory-beko2210
This Skill provides a clear, centralized view into what your AI "remembers," helping you understand its context, track its learning, and manage its knowledge base effectively.
/memory dashboard to refresh your understanding of key project details and any recurring patterns the AI has identified in your work.Use the memory skill to view the full memory dashboard.
High-intent search queries and answers about installing and using this skill.
To view and manage what an AI remembers, you can use a memory dashboard that displays session context, distilled long-term insights, and project-specific knowledge in a centralized interface. This helps you track the AI's learning and context.
AI knowledge distillation for project management works by parsing markdown files to extract patterns and themes from your vault activity. You can manually trigger this process to convert raw session context into distilled long-term insights.
Yes, you can manually edit the distilled long-term insights an AI has learned. The dashboard provides insight management features that allow you to view, understand, and modify the patterns and themes extracted from your markdown files.
The best way to track project memory lifecycle status is through a centralized dashboard that shows the status and key details of individual project memories. This provides a high-level overview of your project-specific context.
Yes, this AI memory management system requires markdown files for data processing. The utility scripts parse markdown content directly from your vault to extract session context, project knowledge, and distill new insights.
xlelibertyPromotes recurring patterns from project auto-memory into persistent rule files.
CraftOS-devProcess raw event logs into structured long-term memories with batch processing.
a-ariffSynchronize task outputs to mem0-memory-mcp and obsidian-memory stores.
knowledgeislandsSummarize live session details and route outstanding items and learnings.