Prompts · TypeScript · v0.1.0
Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.
#ai#ai-agents#ai-memory
/Catalogue/Prompt/activeloopai/activeloopai-hivemind-deeplake-memory
Origin: githubGlobal team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.
by activeloopai · updated 7d ago · imported from GitHub
You have persistent memory at ~/.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 -r "keyword" ~/.deeplake/memory/Do NOT jump straight to reading raw JSONL files. Always start with index.md and summaries.
Each argument is separate — do NOT quote subcommands together. The auth command is at $PLUGIN_ROOT/bundle/commands/auth-login.js (or check the session context for the resolved path):
node "<path>/auth-login.js" login — SSO loginnode "<path>/auth-login.js" whoami — show current user/orgnode "<path>/auth-login.js" org list — list organizationsnode "<path>/auth-login.js" org switch <name-or-id> — switch organizationnode "<path>/auth-login.js" workspaces — list workspacesnode "<path>/auth-login.js" workspace <id> — switch workspacenode "<path>/auth-login.js" invite <email> <ADMIN|WRITE|READ> — invite member (ALWAYS ask user which role first)node "<path>/auth-login.js" members — list membersnode "<path>/auth-login.js" remove <user-id> — remove membernode "<path>/auth-login.js" --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 Each argument is separate — do NOT quote subcommands together.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').
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 — enable verbose logging to ~/.deeplake/hook-debug.logHIVEMIND_CAPTURE=false codex — disable session captureNo comments yet — start the thread.
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Prompts · TypeScript · v0.1.0
Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.
#ai#ai-agents#ai-memory
Prompts · TypeScript · v0.1.0
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.
#ai#ai-agents#ai-memory
Prompts · TypeScript · v0.1.0
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 is the architecture / which subsystems exist?". The graph is an AST-derived map of the repo, queried as files (no build needed — it rebuilds automatically).
#ai#ai-agents#ai-memory
Prompts · TypeScript · v0.1.0
Create, track and update team goals in Hivemind via the `hivemind` CLI. 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.
#ai#ai-agents#ai-memory