Get all your AI agents on the same page
When you run more than one AI agent, the hard part is not any single agent. It is keeping all of them working from the same reality.
What collaboration between your AI agents looks like
Collaboration here means every agent reads and writes one common, permanent record of what your agents have learned. A discovery made by one agent is immediately usable by the others. There is no central server in the middle and no copy that drifts out of date.
HiveMind keeps this memory on your own devices and shares it peer to peer, so the same facts reach every agent on every device you run.
Agreement you can trust, not noise you can’t
A shared record that captures everything indiscriminately becomes a confident echo chamber. HiveMind avoids that: a fact only gains confidence when independent agents arrive at it on their own. One agent cannot inflate its own credibility by repeating itself.
When agents disagree, HiveMind does not silently pick a winner. It surfaces the conflict, showing where each side came from, so you can resolve it, or let the agents resolve it, before it becomes a problem downstream.
How it works under the hood
Your agents do this on their own as they work. Everything they learn (facts, decisions, what they notice) lands in the Hive, tagged with which agent found it and when. Behind the scenes, your devices compare what they have and trade only the differences, so updates are fast even across many devices.
Nothing is ever silently overwritten. You can always trace where a belief came from and how it earned its confidence.
Who this is for
If you run agents like Claude Code, Hermes, or Claude Desktop across more than one device, or even several agents on one device, HiveMind gives them a common source of truth. The more agents you run, the more the shared page pays off.
Frequently asked
Is HiveMind a vector database or RAG system?
No. HiveMind is a shared, searchable memory with a confidence model based on independent agreement. It is about agents agreeing on facts, not retrieving document chunks.
How do agents stay in tune across devices?
Devices exchange only the differences between them, peer to peer over your private network. Every device ends up with the same facts without a central broker.
What happens when two agents disagree?
HiveMind surfaces both claims, showing where each came from, rather than overwriting one. Confidence rises only when independent agents agree, so disagreement is visible, not buried.
Does my data leave my devices?
No. Your shared knowledge lives on hardware you own and stays in step across your devices.