Central memory for artificial intelligence agents
Developed by Activeloop, Hivemind offers a centralized memory layer for all artificial intelligence agents. This TypeScript-based structure enables different agents to share data and communicate through a common intelligence pool.
Updates
- September 18, 2026: Stars 1,615 → 1,616, latest release v0.7.159 (September 17, 2026).
- September 17, 2026: Stars 1,616 → 1,615, latest release v0.7.156 (September 17, 2026).
- September 16, 2026: Stars 1,602 → 1,616, latest release v0.7.153 (September 15, 2026).
- September 12, 2026: Stars 1,599 → 1,602, latest release v0.7.152 (September 11, 2026).
What you get
- It creates a common memory and coordination layer for all your AI agents.
- It automatically transforms successful solution patterns from past sessions into reusable skills.
- It reduces costs by allowing agents to reach the goal using fewer tokens and fewer steps.
Installation
npm install -g @deeplake/hivemind && hivemind installRunning it
hivemind statusIf you don't write code
I want to create a common memory layer between my AI agents using the Hivemind tool. After completing the installation with the command npm install -g @deeplake/hivemind && hivemind install, explain step by step how my agents can share historical session data more efficiently and how to automatically convert this data into skill files.
Related dictionary terms
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-06-11: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. This page was machine-translated from the Turkish original · the Turkish version prevails.