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hivemind-memory
// Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.
// Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.
Create, track and update team goals + KPIs via the Deeplake virtual filesystem at memory/goal/ and memory/kpi/. Use whenever the user mentions a goal, objective, KPI, 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 ā the goal system replaced the legacy `hivemind tasks` CLI and now covers both objectives and tasks.
Create, track and update team goals + KPIs via the Deeplake virtual filesystem at memory/goal/ and memory/kpi/. Use whenever the user mentions a goal, objective, KPI, 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 ā the goal system replaced the legacy `hivemind tasks` CLI and now covers both objectives and tasks.
Create, track and update team goals + KPIs in Hivemind via the `hivemind` CLI. Use whenever the user mentions a goal, objective, KPI, 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 ā the goal system replaced the legacy `hivemind tasks` CLI and now covers both objectives and tasks.
Create, track, and read team goals + KPIs via Hivemind from openclaw. Use whenever the user mentions a goal, objective, KPI, 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 ā the goal system replaced the legacy `hivemind tasks` CLI and now covers both objectives and tasks.
Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.
Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.
| name | hivemind-memory |
| description | Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information. |
| allowed-tools | Bash |
You have persistent memory at ~/.deeplake/memory/ ā global memory shared across all sessions, users, and agents in the org.
~/.deeplake/memory/
āāā index.md ā START HERE ā table of all sessions
āāā summaries/
ā āāā session-abc.md ā AI-generated wiki summary
ā āāā session-xyz.md
āāā sessions/
āāā username/
āāā user_org_ws_slug1.jsonl ā raw session data
āāā user_org_ws_slug2.jsonl
~/.deeplake/memory/index.md ā quick scan of all sessions with dates, projects, descriptions~/.deeplake/memory/summaries/<session>.md~/.deeplake/memory/sessions/<user>/<file>.jsonlgrep -r "keyword" ~/.deeplake/memory/Do NOT jump straight to reading raw JSONL files. Always start with index.md and summaries.
Each argument is separate ā do NOT quote subcommands together. The auth command is at $CODEX_PLUGIN_ROOT/bundle/commands/auth-login.js (or check the session context for the resolved path):
node "<path>/auth-login.js" login ā SSO loginnode "<path>/auth-login.js" whoami ā show current user/orgnode "<path>/auth-login.js" org list ā list organizationsnode "<path>/auth-login.js" org switch <name-or-id> ā switch organizationnode "<path>/auth-login.js" workspaces ā list workspacesnode "<path>/auth-login.js" workspace <id> ā switch workspacenode "<path>/auth-login.js" invite <email> <ADMIN|WRITE|READ> ā invite member (ALWAYS ask user which role first)node "<path>/auth-login.js" members ā list membersnode "<path>/auth-login.js" remove <user-id> ā remove membernode "<path>/auth-login.js" --help ā show all commandsHivemind can mine reusable skills from agent session logs and share them across your team. Each argument is separate ā do NOT quote subcommands together.
hivemind skillify ā show current scope, team, install location, per-project statehivemind skillify pull ā sync project skills from the org table to local FShivemind skillify pull --user <email> ā only skills authored by that userhivemind skillify pull --users <a,b,c> ā multiple authors (CSV)hivemind skillify pull --all-users ā explicit "no author filter" (default)hivemind skillify pull --to <project|global> ā install location (project=cwd/.claude/skills, global=~/.claude/skills)hivemind skillify pull --dry-run ā preview without touching diskhivemind skillify pull --force ā overwrite local files even if up-to-date (creates .bak)hivemind skillify pull <skill-name> ā pull only that one skill (combines with --user)hivemind skillify unpull ā remove every skill previously installed by pullhivemind skillify unpull --user <email> ā remove only that author's pullshivemind skillify unpull --not-mine ā remove all pulls except your ownhivemind skillify unpull --dry-run ā preview without touching diskhivemind skillify scope <me|team> ā sharing scope for newly mined skillshivemind skillify install <project|global> ā default install location for new skillshivemind skillify promote <skill-name> ā move a project skill to the global locationhivemind skillify team add|remove|list <username> ā manage team member listhivemind skillify mine-local ā one-shot: mine skills from local sessions, no auth neededOpt-in, persisted in ~/.deeplake/config.json.
hivemind embeddings install ā download deps (~600MB), symlink agents, set enabled:truehivemind embeddings enable ā flip enabled:true (run install first if deps missing)hivemind embeddings disable ā flip enabled:false + SIGTERM daemon (deps stay on disk)hivemind embeddings uninstall [--prune] ā remove agent symlinks + disable; --prune wipes deps toohivemind embeddings status ā 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 ā 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').
Do NOT spawn subagents to read deeplake memory. 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:
node "<AUTH_CMD>" loginHIVEMIND_DEBUG=1 codex ā enable verbose logging to ~/.deeplake/hook-debug.logHIVEMIND_CAPTURE=false codex ā disable session capture