Skip to main content
Glama
alphaparkinc

genpark-personal-digital-hoarding-declutter-agent-skill

Official

Related Servers

Alternatives to genpark-personal-digital-hoarding-declutter-agent-skill

No user-submitted related servers found.

    Related Servers

    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables personal AI agents to triage digital clutter by classifying orphaned downloads, duplicate screenshots, and stale browser bookmarks, returning a prioritized decluttering queue with actionable recommendations. It runs locally as a zero-dependency Python MCP server that plugs into Claude Desktop, Cursor, or Windsurf.
      7
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables personal AI agents to triage inbox items by classifying their actionability, effort duration, and urgency, producing a prioritized queue with elastic recommendations. It plugs into MCP-compliant clients such as Claude Desktop and Cursor to protect focus and reduce attention fragmentation.
      7
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to carry durable project memory across windows, agents, and days, injecting a compressed context of architecture, progress, decisions, and critical files so a new session can resume without re-reading the whole repository. It also classifies files as current/legacy/intermediate and suggests cleanup so stale or draft artifacts don't mislead the agent.
      8 npm
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to capture, classify, promote, synthesize, and retrieve persistent knowledge from sources such as Obsidian vaults, code repos, YouTube transcripts, bookmarks, terminal sessions, and bug fixes. Exposes tiered cold/warm/hot memory with token-optimized search, context briefings, and cross-source synthesis so multiple agents share one compounding brain across sessions.
      14 npm
      MIT