Contract-first scientific computing and human-in-the-loop discovery across MCP, UAG, simulation and interactive runtimes.
GitHub Organization · Public State & Project Site · IP & Evidence Registry · Canonical Architecture
Foldnite / qFoldIT is a scientific mission infrastructure organization turning scientific and industrial objectives into governed, executable and auditable human/AI missions.
qFoldIT is a scientific mission platform that converts research and industrial objectives into governed, executable and auditable human/AI missions.
The platform separates scientific authority from presentation, gameplay, learning and commercial policy:
Scientific / Industrial Objective
↓
Mission Contract
↓
Capability Profile
↓
Mission Router
↓
Mission Compiler
↓
UAG / Scientific Object Model
↓
Runtime Adapter
↓
Human + AI Search
↓
Submission / Event
↓
CAMEO Reconciliation
↓
Scientific Validation
↓
Evidence / Contribution Record
↓
STATE Projection
↓
Enterprise Deliverable
The result is not merely a game level. It is a validated scientific workflow that can be rendered as an interactive experience when that is the best interface for the mission.
qFoldIT is designed to operate as a scientific capability fabric for MCP-compatible agents, including Claude-based research workflows.
The correct boundary is:
Claude / Scientific Agent
↓
MCP Scientific Tools & Services
↓
qFoldIT Mission Contract
↓
UAG / Scientific Object Model
↓
Mission Compiler / Runtime Adapter
↓
Execution
↓
Scientific Validator
Claude is an orchestration and reasoning interface. Scientific truth remains external to the conversational layer and is established by the configured scientific validators and customer-authorized reference boundaries.
| Layer | Function | Representative qFoldIT surfaces |
|---|---|---|
| Governance | Rights, provenance, contracts, evidence | .github, .github-private, IP-valuation-registry |
| Enterprise Control Plane | Customer objectives and mission lifecycle | CORPORATE_APP |
| Compilation | Routing and deterministic mission compilation | CORPORATE_APP, conformance fixtures |
| Scientific Object Model | Canonical scientific/world representation | Scientific-Object-Schema, UAG |
| Scientific MCP Mesh | Machine-readable tools and agents | Protein-MCP, Protein-Design-MCP, Atomic-MCP, scientific skills |
| Validation Fabric | Authoritative scientific scoring | OPENSTRUCTURE, domain validators, quantum services |
| Reconciliation | Runtime submission → scientific evidence | CAMEO-REALTIME-VALIDATION, INDUSTRIAL-CAMEO |
| Runtime Mesh | Engine/browser/desktop execution | UEFN, Unity, UNIGINE, Web, Standalone |
| Learning | Strategy/coaching/compute optimization | learning-policy and mission optimization |
| Attention / Presentation | Participation and distribution | narrative and interactive game layers |
| Commercial Policy | Eligibility, rights, rewards and customer policy | enterprise policy layer |
| STATE | Safe public/organizational projection | qfoldit.github.io |
One scientific representation can be delivered through multiple interaction surfaces:
Canonical UAG / Scientific State
│
┌─────────────────────┼─────────────────────┐
│ │ │
UEFN Unity UNIGINE
│ │ │
UEFN-TOOLBELT UNITY-TOOLBELT UNIGINE-TOOLBELT
│ │ │
└─────────────────────┼─────────────────────┘
│
WEB-TOOLBELT
│
STANDALONE APP
Runtime adapters are execution surfaces, not scientific authorities.
qFoldIT's current OpenStructure integration establishes a server-side scientific validation boundary with protected references and native structural scoring.
CORPORATE_APP
↓ authenticated server-side request
OPENSTRUCTURE qFoldIT service
↓
OpenStructure / `ost`
↓
LDDT / local-LDDT / QS-score
↓
ValidationResult
↓
validation.completed + audit evidence
A failed validator does not become a score by fallback logic. This fail-closed rule is fundamental to the qFoldIT evidence model.
qFoldIT distinguishes:
- Authoring clock — target creation and mission compilation.
- Runtime clock — interaction and event capture.
- Reconciliation clock — external scientific validation and evidence publication.
For UEFN this distinction is essential: live Verse execution is not treated as a direct arbitrary-network scientific client. The intended model is runtime interaction → session publication → external reconciliation → scientific validation.
qFoldIT treats players and agents as search participants rather than as sources of scientific truth.
Mission State
+ Player / Agent State
+ Historical Outcomes
+ Compute State
↓
Learning Policy
↓
Decision / Coaching
↓
Runtime Outcome
↓
Validation
↓
Evidence
↓
Policy Update
The target metric is validated scientific contribution density, not raw playtime.
qFoldIT's mission architecture is designed for:
- protein and peptide design;
- structural biology and molecular modeling;
- drug discovery and ADMET;
- synthetic biology and L-systems;
- materials and crystal search;
- batteries and energy storage;
- semiconductors and AI hardware;
- quantum computing and hybrid optimization;
- aerospace and space science;
- energy, hydrogen and CCUS;
- mining and resource processing;
- industrial engineering and process optimization;
- scientific software and cloud AI.
qFoldIT distinguishes:
- E1 — verified implementation evidence;
- E2 — strong architecture/product evidence;
- E3 — design, roadmap or option evidence;
- EX — third-party/upstream evidence.
Repository size, external ecosystem reach, prospect lists, TAM, gameplay hypotheses and third-party scientific achievements are not automatically qFoldIT-owned value or revenue evidence.
- qFoldIT GitHub organization
- Public project site and STATE
- Canonical Integrated Platform Architecture
- IP, provenance and valuation registry
- UEFN / Fortnite experience
- FoldIT
- MCP standard
Built on the open Model Context Protocol (MCP) standard.
Scientific authority remains with validated scientific services and authorized reference boundaries.
Global Headquarters: Elkridge, Maryland, USA
CEO: qFoldIT CEO
Email: qFoldIT@gmail.com
















