---
name: hivemind
description: Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.
allowed-tools: hivemind_search, hivemind_read, hivemind_index
---

# Hivemind Memory

You have TWO memory sources. ALWAYS check BOTH when the user asks you to recall, remember, or look up ANY information:

1. **Your built-in memory** — personal per-project notes from the host agent
2. **Hivemind global memory** — global memory shared across all sessions, users, and agents in the org, accessed via the tools below

## Memory Structure

```
/index.md                           ← START HERE — table of all sessions
/summaries/
  <username>/
    <session-id>.md                 ← AI-generated wiki summary per session
/sessions/
  <username>/
    <user_org_ws_slug>.jsonl        ← raw session data
```

## How to Search

1. **First**: call `hivemind_index()` — table of all sessions with dates, projects, descriptions
2. **If you need details**: call `hivemind_read("/summaries/<username>/<session>.md")`
3. **If you need raw data**: call `hivemind_read("/sessions/<username>/<file>.jsonl")`
4. **Keyword search**: call `hivemind_search("keyword")` — substring search across both summaries and sessions, returns `path:line` hits

Do NOT jump straight to reading raw JSONL files. Always start with `hivemind_index` and summaries.

## Organization Management

- `/hivemind_login` — sign in via device flow
- `/hivemind_capture` — toggle capture on/off (off = no data sent)
- `/hivemind_whoami` — show current org and workspace
- `/hivemind_orgs` — list organizations
- `/hivemind_switch_org <name-or-id>` — switch organization
- `/hivemind_workspaces` — list workspaces
- `/hivemind_switch_workspace <id>` — switch workspace
- `/hivemind_version` — show installed version and check npm for updates
- `/hivemind_update` — shows how to install (ask the agent, or run `hivemind update` in your terminal)
- `/hivemind_autoupdate [on|off]` — toggle the agent-facing update nudge (on by default: when a newer version is available, the agent is prompted to install it via `exec` if you ask to update)

## Skill Management (skilify)

Hivemind also mines reusable Claude skills from agent sessions and stores them in a per-org Deeplake table. Openclaw itself doesn't run sessions to mine, but you can pull skills others have already mined for the user. These run in the user's terminal (the openclaw plugin does not register them as `/hivemind_*` commands):

- `hivemind skilify` — show scope/team/install + per-project state
- `hivemind skilify pull` — sync skills for the current project from the org table
- `hivemind skilify pull --user <email>` — only that author's skills
- `hivemind skilify pull --users a,b,c` — multiple authors (CSV)
- `hivemind skilify pull --all-users` — explicit "no author filter"
- `hivemind skilify pull --to project|global` — install location (`<cwd>/.claude/skills/` vs `~/.claude/skills/`)
- `hivemind skilify pull --dry-run` — preview without touching disk
- `hivemind skilify pull --force` — overwrite local (creates `.bak`)
- `hivemind skilify pull <skill-name>` — pull only that one skill (combines with `--user`)
- `hivemind skilify scope <me|team|org>` — set sharing scope for new skills
- `hivemind skilify install <project|global>` — default install location
- `hivemind skilify team add|remove|list <name>` — manage team list

If the user asks to "pull skills from X", "share skills with the team", or similar, suggest the matching `hivemind skilify` command. Run `hivemind skilify --help` for the full reference.

## Limits

Do NOT delegate to subagents when reading Hivemind memory. If a tool call returns empty after 2 attempts, skip it and move on. Report what you found rather than exhaustively retrying.

## Getting Started

After installing the plugin:
1. Run `/hivemind_login` to authenticate
2. Run `/hivemind_setup` to enable the memory tools in your openclaw allowlist (one-time, per install)
3. Start using memory — ask questions, the agent automatically captures and searches

## Sharing memory

Multiple agents share memory when users are in the same Activeloop organization.
