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
- November 5, 2026: Stars 1,634 → 1,645, latest release v0.7.166 (November 4, 2026).
- October 24, 2026: Stars 1,635 → 1,634, latest release v0.7.165 (October 24, 2026).
- October 23, 2026: Stars 1,632 → 1,635, latest release v0.7.164 (October 22, 2026).
- October 22, 2026: Stars 1,626 → 1,632, latest release v0.7.162 (October 22, 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.
Repository: https://github.com/activeloopai/hivemind. Follow the official instructions in the README of this repository for setup and execution.
Before starting, check which OS we are on and if the necessary tools (e.g., Python, Node.js, Git, Docker) are installed. Install any missing ones step-by-step according to this system.
Create a new, empty folder to work in. Do not touch any files outside this folder and do not delete anything. Tell me what you are going to do in one sentence before running each command.
Tell me what I should see on the screen at the end of each step. If an error occurs, I will paste the error message to you exactly as it is, and we will fix it together.
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. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.