Persist research context, decision audit trails, and checkpoints across sessions.
npx skills add https://github.com/HosungYou/Diverga --skill diverga-memory
Please help me install this Agent Skill. Skill: diverga-memory Source: https://github.com/HosungYou/Diverga/tree/main/skills/memory Command: npx skills add https://github.com/HosungYou/Diverga --skill diverga-memory
This Skill provides persistent, context-aware support for complex research projects, ensuring continuity and rigorous tracking of decisions and progress across sessions.
Initialize a new research project by running the command to initialize the memory system with your project details.
High-intent search queries and answers about installing and using this skill.
Research context is maintained across sessions by automatically injecting project state, methodology, and decision history into your workflow. This ensures continuous cross-session continuity without requiring manual re-orientation when returning to a paused project.
An immutable decision log records all research decisions with versioning and amendment tracking. This creates a rigorous audit trail, ensuring all research decisions and subsequent modifications are permanently recorded for review.
Workflow checkpoints are enforced by configuring required and recommended milestones within the research memory system. This guides the research workflow by ensuring critical stages are reviewed before proceeding to the next phase.
Yes, persistent research memory integrates with AI agents by automatically injecting project state, methodology, and decision history into the agent context. This allows agents to operate with full awareness of your ongoing research progress.
The decision log handles amendments through versioning, keeping the original entry immutable while tracking changes as new versioned amendments. This preserves the complete history of research decisions and their evolution over time.
SpillwaveSolutionsInitialize and maintain project memory files under docs/project_notes.
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HosungYouDocument Diverga's 24 agents, commands, and usage examples.
Shadojin94Design system prompts, just-in-time retrieval, and context compaction for agent reasoning.
