hivemind-memory
Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.
它会碰到什么
这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。
技能内容
Hivemind Memory
You have TWO memory sources. ALWAYS check BOTH when the user asks you to recall, remember, or look up ANY information:
- Your built-in memory (
~/.claude/) — personal per-project notes - Hivemind global memory (
~/.deeplake/memory/) — global memory shared across all sessions, users, and agents in the org
Memory Structure
~/.deeplake/memory/
├── index.md ← START HERE — table of all sessions
├── summaries/
│ ├── session-abc.md ← AI-generated wiki summary
│ └── session-xyz.md
└── sessions/
└── username/
├── user_org_ws_slug1.jsonl ← raw session data
└── user_org_ws_slug2.jsonl
How to Search
- First: Read
~/.deeplake/memory/index.md— quick scan of all sessions with dates, projects, descriptions - If you need details: Read the specific summary at
~/.deeplake/memory/summaries/<session>.md - If you need raw data: Read the session JSONL at
~/.deeplake/memory/sessions/<user>/<file>.jsonl - Keyword search:
Grep pattern="keyword" path="~/.deeplake/memory"
Do NOT jump straight to reading raw JSONL files. Always start with index.md and summaries.
Organization Management
The auth command path is injected at session start. Use the exact path from the session context. Each argument is separate — do NOT quote subcommands together:
node "<AUTH_CMD>" login— SSO loginnode "<AUTH_CMD>" whoami— show current user/orgnode "<AUTH_CMD>" org list— list organizationsnode "<AUTH_CMD>" org switch <name-or-id>— switch organizationnode "<AUTH_CMD>" workspaces— list workspacesnode "<AUTH_CMD>" workspace <id>— switch workspacenode "<AUTH_CMD>" invite <email> <ADMIN|WRITE|READ>— invite member (ALWAYS ask user which role first)node "<AUTH_CMD>" members— list membersnode "<AUTH_CMD>" remove <user-id>— remove membernode "<AUTH_CMD>" --help— show all commands
Skill Management (skillify)
Hivemind can mine reusable skills from agent session logs and share them across your team. Each argument is separate — do NOT quote subcommands together.
hivemind skillify— show current scope, team, install location, per-project statehivemind skillify pull— sync project skills from the org table to local FShivemind skillify pull --user <email>— only skills authored by that userhivemind skillify pull --users <a,b,c>— multiple authors (CSV)hivemind skillify pull --all-users— explicit "no author filter" (default)hivemind skillify pull --to <project|global>— install location (project=cwd/.claude/skills, global=~/.claude/skills)hivemind skillify pull --dry-run— preview without touching diskhivemind skillify pull --force— overwrite local files even if up-to-date (creates .bak)hivemind skillify pull <skill-name>— pull only that one skill (combines with --user)hivemind skillify push <skill-name>— upload a local skill to the org table (inverse of pull; re-push lands a new version)hivemind skillify push --from <project|global>— which local skills dir to read (default: project)hivemind skillify push --dry-run— preview without writing to the org tablehivemind skillify unpull— remove every skill previously installed by pullhivemind skillify unpull --user <email>— remove only that author's pullshivemind skillify unpull --not-mine— remove all pulls except your ownhivemind skillify unpull --dry-run— preview without touching diskhivemind skillify scope <me|team>— sharing scope for newly mined skillshivemind skillify install <project|global>— default install location for new skillshivemind skillify promote <skill-name>— move a project skill to the global locationhivemind skillify team add|remove|list <username>— manage team member listhivemind skillify mine-local— one-shot: mine skills from local sessions, no auth needed
Embeddings (semantic memory search)
Opt-in, persisted in ~/.deeplake/config.json.
hivemind embeddings install— download deps (~600MB), symlink agents, set enabled:truehivemind embeddings enable— flip enabled:true (run install first if deps missing)hivemind embeddings disable— flip enabled:false + SIGTERM daemon (deps stay on disk)hivemind embeddings uninstall [--prune]— remove agent symlinks + disable; --prune wipes deps toohivemind embeddings status— show config + deps + per-agent link state
Important: Bash Only
Only use bash commands (cat, ls, grep, echo, jq, head, tail, sed, awk, etc.) to interact with ~/.deeplake/memory/. Do NOT use python, python3, node, curl, or other interpreters — they are not available in the memory filesystem. If a task seems to require Python, rewrite it using bash tools (e.g., cat file.json | jq 'keys | length').
Limits
If a file returns empty after 2 attempts, skip it and move on. Report what you found rather than exhaustively retrying.
Getting Started
After installing the plugin:
- Run
/hivemind:loginto authenticate - Start using memory — ask questions, Claude automatically captures and searches
Configuration
HIVEMIND_DEBUG=1 claude— enable verbose logging to~/.deeplake/hook-debug.logHIVEMIND_CAPTURE=false claude— disable session capture
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它属于哪个仓库
harnesses/claude-code/skills/hivemind-memory/SKILL.md同一个仓库里的其他技能
同名技能的其他版本
有 2 个不同仓库或目录里都有叫 hivemind-memory 的技能。它们内容并不相同,别混用:
- activeloopai/hivemind — Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hi