Machine International Global Intelligence is an architecture for turning authorized observations and user work into traceable, explainable, permission-controlled outcomes.
Original is truth. Enhancement is derivative. Simulation is not reality. Action requires permission.
MIGI is in an architecture-and-MVP implementation phase. The first practical product path is MIRROR SEED: trusted mobile capture, local provenance, explainable analysis, human approval, and a replayable receipt trail.
MIGI is designed as a modular system rather than a single model or platform:
Signal
↓
Observation
↓
Structured Meaning
↓
Authority + Provenance
↓
Intelligence + Simulation
↓
Human Decision
↓
Digital or Physical Action
↓
Receipt + Audit Trail
| Project | Responsibility |
|---|---|
| MIGI Kernel | Coordinates intents, policy checks, task routing, and state updates. |
| MUEF | MIGI Unified Event Framework; a shared event envelope across services and industry adapters. |
| MIGIReceipt | Signed provenance object for captures, transformations, decisions, and actions. |
| ChainLog | Append-only lineage trail linking receipts and state transitions. |
| LUFITGuard | Consent, scope, risk, budget, and tool-permission policy gate. |
| Tre Logic | Explainable +1 / 0 / -1 authorization state: proceed, hold, or deny. |
| Task Router | Chooses an approved local, cloud, tool, device, or human execution path. |
| MIRROR SEED | Mobile edge MVP for capture → explain → prove. |
| Project Strawberry / Q★ | Future simulation and spatial-intelligence layer. |
| Alchemy IDE / Emoji A++ | Future workflow authoring and symbolic orchestration layer. |
The first executable MIGI foundation prioritizes:
1. Identity and local device keys
2. MUEF event format
3. ChainLog and MIGIReceipt
4. LUFITGuard + Tre Logic
5. Kernel task execution
6. Local storage and basic audit view
7. Mobile capture pipeline
8. Task routing and first adapter
The initial user flow is intentionally small:
Capture an image, audio clip, note, or sensor snapshot
↓
Hash and classify the original locally
↓
Create a MIGIReceipt
↓
Run approved analysis
↓
Label output as derived or simulated
↓
Show history and request human approval before consequential action
This repository is the canonical architecture and implementation home for MIGI core. Documentation describes intended system behavior and boundaries; it does not claim that every described module is already implemented or production-ready.
This repository is licensed under the Apache License 2.0.
MIGI may analyze, recommend, simulate, and prepare actions. It does not treat a simulation as verified reality or perform consequential external or physical actions without an explicit authority path.