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Quidnug

Overview

Quidnug is a P2P protocol and Go reference node that lets your application answer questions like:

  • From my perspective, how much should I trust this counterparty?
  • Did this specific key authorize this action, and can I recover if it’s lost or compromised?
  • Has this asset been passed through a chain of parties I can verify?
  • Has this event truly happened in a tamper-evident ledger?

It does this with a typed trust graph, per-signer replay-safe nonces, M-of-N guardian-based key recovery with time-locked vetoes, cross-domain gossip with signed fingerprints, and a Proof-of-Trust consensus where each node independently decides which blocks to trust based on its own relational view of the signer.

Where to go next

Section titled “Where to go next”
  • Quick start, stand up a node and run your first transactions in under five minutes.
  • First five API calls, the concrete shape of an identity, a trust declaration, a trust query, an event, and a key rotation.
  • Concepts, quids, relational trust, domains, Proof-of-Trust consensus, transactions, event streams, key lifecycle.
  • Architecture, the six-subsystem reference node and the peer-to-peer surface.
  • Design proposals, ten ratified QDPs covering nonce safety, guardian recovery, cross-domain gossip, bootstrap, fork-block migration, and compact Merkle proofs.
  • Integration guide, side-by-side examples of the same workflow in every SDK, plus deployment topologies.
  • FAQ + troubleshooting, canonical bytes, nonce replays, guardian setups, gossip healing.

The thesis, in one line

Section titled “The thesis, in one line”

Trust is personal, cryptographic, and contextual, and the protocol is honest about that instead of hiding it behind a reputation score.

Production readiness

Section titled “Production readiness”

Ten QDPs have landed. Full SDKs in Python, Go, JavaScript/TypeScript, and Rust; scaffolds for Java/Kotlin, C#/.NET, Swift, Android, React, and a browser extension. Helm charts, Docker Compose consortium, Grafana dashboard, and Prometheus alerts ship in-repo. Every protocol change is replay-safe and auditable.

Using these docs with AI agents

Section titled “Using these docs with AI agents”

The site is crawl-friendly by design. Every page has a raw Markdown alternate (append .md to the URL), and /llms.txt gives a single consolidated index suitable for feeding to an LLM with limited context. See our AI-friendly index.