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Hivemind

OrganizationPopular
activeloopai
hivemind

Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.

Overview

Publisheractiveloopai
Repositoryhivemind
Skill namehivemind
Stars
1.6K
Forks
107
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by activeloopai on GitHub. Read the source before you install it.

Installation

Install the Hivemind AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/activeloopai/hivemind.git /tmp/hivemind
mkdir -p .claude/skills
cp -r /tmp/hivemind/harnesses/openclaw/skills .claude/skills/hivemind
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hivemind in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Hivemind on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Hivemind is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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 (skillify)

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 skillify — show scope/team/install + per-project state
  • hivemind skillify pull — sync skills for the current project from the org table
  • hivemind skillify pull --user <email> — only that author's skills
  • hivemind skillify pull --users a,b,c — multiple authors (CSV)
  • hivemind skillify pull --all-users — explicit "no author filter"
  • hivemind skillify pull --to project|global — install location (<cwd>/.claude/skills/ vs ~/.claude/skills/)
  • hivemind skillify pull --dry-run — preview without touching disk
  • hivemind skillify pull --force — overwrite local (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 table
  • hivemind skillify unpull — remove every skill previously installed by pull
  • hivemind skillify unpull --user <email> — remove only that author's pulls
  • hivemind skillify unpull --not-mine — remove all pulls except your own
  • hivemind skillify unpull --dry-run — preview without touching disk
  • hivemind skillify scope <me|team> — set sharing scope for new skills
  • hivemind skillify install <project|global> — default install location
  • hivemind skillify 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 skillify command. Run hivemind skillify --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.

Frequently asked questions

What does the Hivemind AI skill do?

Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.

Why use Hivemind on TypingMind?

Because you install it once and use it with any model. Hivemind is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Hivemind in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/activeloopai/hivemind/tree/main/harnesses/openclaw/skills. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Hivemind?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Hivemind?

As many as you like. As long as a model supports skills, you can use Hivemind with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Hivemind AI skill free?

Yes. It is published on GitHub by activeloopai under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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