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DigiEmu Core

Deterministic Knowledge Infrastructure for AI Systems.

DigiEmu Core provides a deterministic snapshot and verification layer for knowledge states.
It allows AI and software systems to store, replay, verify and sign knowledge states with full reproducibility.

The system ensures that knowledge snapshots can always be reconstructed and verified.


Core Principles

  • Deterministic knowledge snapshots
  • Cryptographic integrity
  • Replay verification
  • Signed knowledge bundles
  • Artifact origin metadata
  • Transportable bundles

Boundary Note

DigiEmu Core verifies deterministic decision-state integrity through canonical JSON, SHA-256 snapshot hashing, and replay/verify checks. It does not certify agent identity, trustworthiness, authorization, action legitimacy, or legal compliance. These concerns belong to complementary external trust and attestation layers such as TBN.

Specification

DigiEmu Core is moving toward a public standard structure for deterministic AI decision verification.

Public review drafts

Specification index and implementation contracts


Public standard path

Specification -> Test Vectors -> Negative Test Vectors -> Test Vector Manifest -> Conformance -> Conformance Declaration -> Conformance Declaration Schema -> Verify Report Examples -> Verify Report Schema

The specification explains the model.
The test vectors make verification reproducible.
The conformance document defines implementation requirements.
The verify report examples define machine-readable verification outcomes.


Quick Start

Build the CLI

go build -o digiemu ./cmd/digiemu

Create a snapshot

digiemu snapshot file input.json

Verify bundle

digiemu verify bundle snapshots/.../bundle.json

Replay snapshot

digiemu replay bundle snapshots/.../bundle.json

Verify replay determinism

digiemu verify replay snapshots/.../bundle.json

Signature System

Sign a bundle

digiemu sign bundle bundle.json

Verify signature

digiemu verify signature bundle.json

Artifact origin / bundle signer metadata

Show local identity

digiemu identity show

Export identity

digiemu identity export <directory>

Import trusted identity

digiemu identity import <directory>

Show identity fingerprint

digiemu identity fingerprint

Bundle Transport

Export bundle

digiemu export bundle bundle.json <directory>

Import bundle

digiemu import bundle <directory>

End-to-End Verification Pipeline

DigiEmu Core guarantees that a knowledge snapshot can always be:

  • recreated
  • replayed
  • verified
  • cryptographically signed
  • transported
  • trusted via identity verification

Architecture Overview

DigiEmu Core consists of:

  • Snapshot engine
  • Replay engine
  • Verification layer
  • Signature system
  • Artifact origin / signer metadata utilities
  • Bundle transport system

Repository Structure

cmd/digiemu
pkg/snapshot
pkg/replay
pkg/verify
pkg/claims
pkg/meaning
pkg/uncertainty

Status

DigiEmu Core v1.0.0 is the first deterministic baseline release.

The system supports:

  • deterministic snapshot creation
  • replay verification
  • cryptographic integrity validation
  • origin-bound or externally attested artifacts

Enterprise hardening and ecosystem integration are ongoing.


Release

Current version: v1.0.0

See:

https://github.com/DigiEmu/core/releases

License

Business Source License 1.1.

See LICENSE for details.


Security

Core 2.0 Draft 1 — Partner-Testable Milestone

Status: draft / pre-release / not stable

Core 2.0 Draft 1 (tag example: v2.0.0-draft.1) is a partner-testable milestone. It is intended for evaluation and feedback; it is NOT a stable release and does not change any v1.0 behavior.

Short positioning

  • DigiEmu Core provides deterministic knowledge infrastructure for AI systems.
  • Core 2.0 Draft 1 is partner-testable and draft-only.
  • v1.0 behavior remains unchanged and is the baseline for compatibility.

Core 2.0 capabilities (draft)

  • Experimental conformance CLI
  • Human-readable conformance output
  • JSON conformance reports
  • Conformance report schema
  • OpenAPI contract draft
  • Docker usage path (documentation)
  • CI conformance checks

Quickstart commands (for evaluation)

go test ./...
go run ./cmd/digiemu experimental conformance run testdata/core_2_conformance

“DigiEmu Core by Bruno Baumgartner © 2026”
go run ./cmd/digiemu experimental conformance run testdata/core_2_conformance --json

Docker (optional evaluation)

docker build -t digiemu-core .
docker run --rm digiemu-core experimental conformance run /opt/testdata/core_2_conformance
docker run --rm digiemu-core experimental conformance run /opt/testdata/core_2_conformance --json

Expected output

  • Conformance run summary: total=11 passed=11 failed=0

Important notes

  • Core 2.0 remains draft unless explicitly marked stable.
  • Experimental commands remain under the experimental namespace.
  • This is not a stable v2.0.0 release.

Links

“DigiEmu Core by Bruno Baumgartner © 2026”

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Deterministic knowledge infrastructure for AI systems. Snapshot • Replay • Verify • Cryptographic integrity

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