From hivemind
Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.
How this skill is triggered — by the user, by Claude, or both
Slash command
/hivemind:hivemind-memoryThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
You have TWO memory sources. ALWAYS check BOTH when the user asks you to recall, remember, or look up ANY information:
You have TWO memory sources. ALWAYS check BOTH when the user asks you to recall, remember, or look up ANY information:
~/.claude/) — personal per-project notes~/.deeplake/memory/) — global memory shared across all sessions, users, and agents in the org~/.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
~/.deeplake/memory/index.md — quick scan of all sessions with dates, projects, descriptions~/.deeplake/memory/summaries/<session>.md~/.deeplake/memory/sessions/<user>/<file>.jsonlGrep pattern="keyword" path="~/.deeplake/memory"Do NOT jump straight to reading raw JSONL files. Always start with index.md and summaries.
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 Each argument is separate — do NOT quote subcommands together: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 commandsHivemind 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 Each argument is separate — do NOT quote subcommands together.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 neededOpt-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 stateOnly 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').
If a file returns empty after 2 attempts, skip it and move on. Report what you found rather than exhaustively retrying.
After installing the plugin:
/hivemind:login to authenticateHIVEMIND_DEBUG=1 claude — enable verbose logging to ~/.deeplake/hook-debug.logHIVEMIND_CAPTURE=false claude — disable session capturenpx claudepluginhub activeloopai/hivemind --plugin hivemindLogs cross-project outcomes and recalls lessons to inform new sessions, avoiding past mistakes. Analyzes skill executions for better routing. Use /memento modes: log, global recall, health, route.
Guides efficient use of context-mem MCP tools: compress large outputs, search before re-reading files, persist knowledge across sessions, and manage token budget.
Multi-layer AI agent memory system combining session state, vector search (LanceDB), git-based knowledge graphs, and cloud backup. Prevents context loss across sessions.