Hivemind is a shared memory system for coding agents that records their sessions and turns recurring solutions into reusable skills. Teams use it to let agents search past traces, share learned procedures across tools and machines, and keep the resulting knowledge in their own cloud or on-premises storage. The catalogue entries are Hivemind's own skills, hooks, plugins, and commands for connecting agents to that shared memory.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/activeloopai/hivemindWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/plugins/activeloopai/hivemind/marketplace)<a href="https://agentmods.dev/plugins/activeloopai/hivemind/marketplace"><img src="https://agentmods.dev/badge/plugins/activeloopai/hivemind/marketplace/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/plugins/activeloopai/hivemind/marketplace"><img src="https://agentmods.dev/badge/plugins/activeloopai/hivemind/marketplace.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
hivemind marketplace scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
{
"name": "hivemind",
"owner": {
"name": "Activeloop",
"email": "[email protected]"
},
"metadata": {
"description": "Cloud-backed persistent shared memory for AI agents powered by Deeplake",
"version": "0.7.161"
},
"plugins": [
{
"name": "hivemind",
"description": "Persistent shared memory powered by Deeplake — captures all session activity and provides cross-session, cross-agent memory search",
"version": "0.7.161",
"source": {
"source": "git-subdir",
"url": "https://github.com/activeloopai/hivemind.git",
"path": "harnesses/claude-code",
"sha": "820b32d1e01bbf73a5e67d5981e533087e91b330"
},
"homepage": "https://github.com/activeloopai/hivemind"
}
]
}
The plugins it lists here
This marketplace lists 2 plugins kept in the same repository. Each has its own page, its own measurements and its own install command.
What ships with it
1 file beside marketplace.json in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday Changed e918c7ea4119
- 17d ago Changed 5376e22b31d5
- 28d ago Changed 82fdbe61f733
- 29d ago Changed e39697cb0650
- 1mo ago Changed 31acdbacbd6d
- 1mo ago Changed b7342468c43b
- 1mo ago Changed c7abd134df9f
- 1mo ago Changed 304ed923915f
- 1mo ago Changed 16220a5d25ba
- 1mo ago First seen · 26 lines scan A 94c3e67634f8
hivemind marketplace is a plugin published in the GitHub repository activeloopai/hivemind (1,628 stars, last pushed 2d ago), licensed Apache-2.0. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other plugins, from other repositories
claude-mem-cursor
Persistent memory for Cursor. Hooks ingest tool use; MCP searches past sessions. Works with a local worker or a remote cmem.ai worker, and a local host-login observer or remote inference.
claude-mem-grok-bot
Persistent memory for Grok Bot. No host hooks: transcript watcher plus MCP. Local worker with host-login observer, or remote cmem.ai. Install without Cursor.
claude-mem
Memory compression system for Claude Code - persist context across sessions.
claude-mem-cowork
Claude-Mem for Cowork: captures tool use via hooks, streams fragments to cmem.ai (Pro runs the observer), and injects observations back into new sessions and spawned agents.
claude-mem
Memory compression system for Claude Code - persist context across sessions.
claude-dejavu
Claude remembers its mistakes. Detects antipatterns from session logs and auto-patches CLAUDE.md.