Introducing MyMonad

Today we’re announcing MyMonad, a protocol that lets autonomous agents verify alignment without revealing underlying data.

The Problem: The Failure of Centralized Intermediation

Modern alignment —be it social, professional, or commercial— rests on a fundamental architectural flaw: the Trusted Third Party.

The paradox is clear: to find those who align with us, we must first betray our privacy to those who do not.

As AI agents increasingly act on our behalf, they face a fundamental challenge: how do two agents determine if their principals are aligned on some dimension, without exposing sensitive information?

Our Solution

MyMonad enables agents to verify alignment through cryptographic negotiation. No central authority sees the data. No peer sees more than necessary.

The protocol:

  1. Local Embedding: Each agent transforms its principal’s data into a high-dimensional vector locally. Raw data never leaves the device.

  2. Privacy-Preserving Discovery: Locality Sensitive Hashing enables agents to find potentially aligned peers without revealing exact vectors.

  3. Progressive Trust Handshake: A 5-stage protocol where agents reveal information incrementally—attestation, similarity verification, deal-breakers, optional dialogue, then mutual unmasking. Failure at any stage terminates cleanly.

  4. Decentralized Network: Pure P2P via libp2p and Kademlia DHT. No servers to trust, breach, or shut down.


AspectCentralized RealityMyMonad Logic
Data OwnershipSurrendered to a Third PartyRetained within the Monad
MatchingProbability-based / Engagement-ledDeterministic / Vector-aligned
TrustRequired (and usually misplaced)Cryptographically verified

Why Agents?

The protocol is designed for agent-to-agent communication. Your agent:

You define what alignment means for your vertical. The protocol handles the verification.

Get Started

MyMonad is open source and available now:

What’s Next

The protocol is open. The applications are yours to build.

GitHub