GraphCanon updated 1d · GitHub synced 1d
Decision brief
Hivemind stands out for its capabilities in converting traces into reusable skills across multiple AI agents using embeddings.
Good fit when
- - When you are working on an environment where multiple AI agents need to share and use the same set of skills derived from historical interactions or traces.
- - If your project benefits from long-term memory enhancements with a focus on skills that can be transferred between different agents efficiently.
Avoid when
- - When your application does not require skill reuse across multiple AI agents, as Hivemind’s forte is in enabling such cross-agent knowledge and behavior sharing.
- - If you are looking for a standalone solution without integrating traces into reusable skills; Hivemind leans towards managing skills via traces.
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Adoption
Package downloads where a registry match exists. GitHub stars (1,573) are secondary evidence.
- npm downloads (30d)
- 3,060·npm downloads API·1d
Maintenance and security
Full trust report- Maintenance
- Very active (1d since push)
- As of 1d
- Provenance
- Not a fork · Organization account
- As of 1d
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- No lockfile
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Install
npm install hivemindSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A toolkit for creating and managing AI agent skills using traces and embeddings.
Capability facts
- CLI
- CLI entrypoint
Source: package.json:bin|scripts · Aug 22, 2026
- MCP server
- Ships MCP server
Source: package.json:@modelcontextprotocol/* · Aug 22, 2026
- Languages
- typescript, javascript
Source: github.language+package.json · Aug 22, 2026
Categories
Tags
README
Quick start
One command, all your agents.
macOS / Linux
curl -fsSL https://deeplake.ai/hivemind.sh | sh
Windows — in PowerShell:
irm https://deeplake.ai/hivemind.ps1 | iex
Any platform, via npm — for CI and Dockerfiles, or where policy blocks piping a downloaded script to a shell. Skips the checks the installers do, so Node 22+ and a writable npm prefix are on you:
npm i -g @deeplake/hivemind && hivemind install
The installer detects every supported assistant on your machine (table below), wires up the hooks, and shows a one-line consent prompt before opening a browser for sign-in. Restart your assistants after install.
Headless / CI installs: pass an API token instead of using the browser flow:
HIVEMIND_TOKEN=<your-token> hivemind install
---
### Alternative install paths
<details>
<summary><b>Claude Code plugin marketplace</b></summary>
If you prefer Claude Code's native plugin marketplace:
/plugin marketplace add activeloopai/hivemind /plugin install hivemind /reload-plugins /hivemind:login
Auto-updates on each session start. Manual update: `/hivemind:update`.
</details>
<details>
<summary><b>OpenClaw ClawHub</b></summary>
openclaw plugins install clawhub:hivemind
Then type `/hivemind_login` in chat, click the auth link, and sign in.
#### Commands
| Command | Description |
|---------|-------------|
| `/hivemind_login` | Sign in via device flow |
| `/hivemind_capture` | Toggle capture on/off |
| `/hivemind_whoami` | Show current org and workspace |
| `/hivemind_orgs` | List organizations |
| `/hivemind_switch_org <name>` | Switch organization |
| `/hivemind_workspaces` | List workspaces |
| `/hivemind_switch_workspace <id>` | Switch workspace |
| `/hivemind_update` | Check for plugin updates |
Auto-recall and auto-capture are enabled by default. Data is stored in the same `sessions` table as Claude Code and Codex.
#### Coexistence with `memory-core`
Hivemind runs **alongside** OpenClaw's built-in `memory-core` plugin. It does **not** claim the memory slot, so `memory-core`'s dreaming cron (`"0 3 * * *"`) and other memory-slot-dependent jobs keep working. Hivemind captures session activity and exposes its own commands; `memory-core` keeps owning recall/promotion/dreaming.
#### Troubleshooting
- **Hivemind seems slow or unresponsive.** Check the agent model in `~/.openclaw/openclaw.json` under `agents.defaults.model`. Hivemind makes many small tool calls per turn; a large reasoning model like Opus will feel sluggish. Recommended default: `anthropic/claude-haiku-4-5-20251001`.
- **`openclaw model <id>` says "plugins.allow excludes model".** The `model` plugin CLI is disabled by default. Edit `~/.openclaw/openclaw.json` directly (key `agents.defaults.model`) and restart the gateway: `systemctl --user restart openclaw-gateway.service`.
- **Model switch rejected as "not allowed".** Use the exact dated provider-prefixed ID (`anthropic/claude-haiku-4-5-20251001`, `anthropic/claude-sonnet-4-6`). Legacy IDs like `claude-3-5-haiku-latest` and unprefixed bare IDs are not on OpenClaw's allowlist.
- **Self-update via Telegram fails with "elevated is not available".** `tools.elevated.allowFrom` must include `telegram` before elevated commands work from that channel. Safer alternative: run the upgrade in a local shell with `openclaw plugins update hivemind`.
- **`npm error EACCES` during self-update.** OpenClaw was installed under a root-owned npm prefix (e.g. `/usr/lib/node_modules/openclaw`). Reinstall under a user-writable prefix, or run the update with appropriate privileges locally, not via a channel.
</details>
<details>
<summary><b>Codex (manual)</b></summary>
Tell Codex to fetch and follow the install instructions:
Fetch and follow instructions from https://raw.githubusercontent.com/activeloopai/hivemind/main/harnesses/codex/INSTALL.md
Or run the installer script directly:
```bash
git clone https://github
For agents
This page has a .md twin and JSON over the API.