Hivemind 共享记忆技能

检索团队知识，并将助手工作连接到持久目标和知识图谱。

Activeloop 的 Hivemind 将 Deeplake 共享记忆与目标跟踪、图谱流程结合，工作服务负责记录轨迹并整理重复模式。

适用场景

• 找回先前会话的决策与模式
• 跟踪目标并探索关联团队知识

使用方法

按所用助手安装完整 Hivemind 运行时并配置 Deeplake 访问。所选 Claude Code 目录包含完整记忆、目标和图谱组，其他助手目录属于适配版本。

Skills

• hivemind-goals

  Create, track and update team goals via the Deeplake virtual filesystem at memory/goal/. Use whenever the user mentions a goal, objective, target, milestone, or asks to track progress on something measurable. ALSO use when the user says "task", "todo", "work item", "remind me to", "fix X", or any actionable work item — the goal system replaced the legacy `hivemind tasks` CLI and now covers both objectives and tasks.

  activeloopai/hivemind

• hivemind-graph

  Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/. Use when the user asks structural questions about the codebase — "what calls X?", "what does Y import?", "where is Z defined?", "what's the architecture / which subsystems exist?", "what's the impact of changing this?". The graph is an AST-derived map of the repo, queried as files (no build needed — it rebuilds automatically).

  activeloopai/hivemind

• hivemind-memory

  Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.

  activeloopai/hivemind