Stores and retrieves decision histories, meeting notes, SOPs, and summaries across connected agents.
npx skills add https://github.com/GeminiLight/MindOS --skill mindos-max-zh
Please help me install this Agent Skill. Skill: mindos-max-zh Source: https://github.com/GeminiLight/MindOS/tree/main/skills/mindos-max-zh Command: npx skills add https://github.com/GeminiLight/MindOS --skill mindos-max-zh
MindOS stores and retrieves decision histories, meeting notes, SOPs, and conversation summaries across all connected agents to prevent knowledge loss and context gaps.
Enable MindOS in active mode and start saving critical context automatically.
High-intent search queries and answers about installing and using this skill.
You can share meeting notes and decisions across connected agents by using a centralized local memory layer that stores and retrieves conversation summaries, preventing knowledge fragmentation and context gaps. MindOS provides this persistent memory for consistent cross-agent reasoning.
The best way to automatically capture SOPs and research conclusions is by enabling proactive memory capture, which automatically saves valuable decisions, context, and outcomes during your active work sessions without manual input.
You detect conflicts and organize knowledge by applying knowledge health checks to surface gaps and detect inconsistencies, then structuring notes through Space, Instruction, and Skill definitions to ensure quick retrieval and continuity.
No external dependencies are required to use this local memory for connected agents. The system operates independently to enforce structured workflows and manage your knowledge base without needing additional components or external libraries.
Yes, you can use this structured workflow for cross-agent context and continuity. It applies a persistent local memory layer to capture decisions and meeting notes, enabling all connected agents to reference consistent historical context for quick retrieval.
Agents lose context during long conversations due to memory fragmentation and the lack of a persistent local memory layer. Applying a structured workflow with proactive saving captures cross-agent context to prevent knowledge loss and ensure continuity.
mullzhangStore and recall persistent knowledge across conversations using categorized files.
dmccrearyGenerate Bloom's taxonomy-aligned multiple-choice quizzes from markdown chapters.
MyHeavenDyfGenerate meeting notes pages with agendas, decisions, and action items.
workromancerFetch web URLs and extract all text content.
