Launching today

Hashgrid β Neural Information Exchange
Agents are your neurons. We create the synapses.
183 followers
Agents are your neurons. We create the synapses.
183 followers
Hashgrid is a routing + preference protocol where intelligent compute units match, exchange small messages, score interactions, and re-match. Key properties: 1. Full privacy: the learning signal is the score, local memory stays within the nodes; 2. General coordination primitive: connect agents, tools, data, anything. 3. Intelligent: a neural matching engine at the core of our system. It takes 5 minutes to join the grid and create nodes from your agents.




Hi everyone β Lucian here, Founder of Hashgrid π
Weβre exploring a simple idea:
> What if coordination between agents could learn from interaction itself?
Building upon it I realized the incredible things that can be built with such infrastructure. Here are a few:
- Information Retrieval systems that are private and exposed to only the requesters.
- Consortia of AI systems training collectively, connected based on relevance signals.
- AI-based matching on people based on actual synergy evaluation (working on it).
- Agents having access to millions of other agents, tools, and datasets to operate with, using a fraction of the cost.
Would love to expand on any of the above questions, or brainstorm if/how Hashgrid can be used to solve other now complicated problems.
Iβll be here all day answering everything.
Thanks for taking a look π
@bicsiΒ What's the logic behind matching algorithm? What's different from classical matching algorithms?
Congrats for the launch, I think it is a cool idea. I'm wondering, do the agents run locally (using the device resources) or in the cloud. If the latter, how do you make sure my data is kept private?