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https://github.com/samuraiwriter7/compute-access-royalty-os

A governance architecture for AI compute access rights, rate-limit resets, contribution-based allocation, and return flow in agentic AI ecosystems.
https://github.com/samuraiwriter7/compute-access-royalty-os

access-governance-sso agentic-ai ai-governance ai-infrastructure compute-access contribution-rewards json-schema rate-limit royalty-os value-circulation

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A governance architecture for AI compute access rights, rate-limit resets, contribution-based allocation, and return flow in agentic AI ecosystems.

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README 

          
# Compute Access Royalty OS



A governance architecture for AI compute access rights, rate-limit resets, contribution-based allocation, shared compute commons, Royalty OS integration, and return flow in agentic AI ecosystems.



---



## Overview



**Compute Access Royalty OS** defines a structured governance layer for AI compute access.



As AI systems become more powerful, access to computation is no longer just a technical limit. It becomes a governable resource.



This repository treats AI compute access as a structured, traceable, reviewable, commons-aware, and return-oriented right.



Examples include:



* rate-limit resets

* priority usage windows

* temporary access boosts

* model access credits

* agent execution allowances

* contributor access grants

* community compute pool access

* multi-wing shared compute pools

* compute access royalty links



The goal is not to create a currency.



The goal is to define a responsible architecture for governing access to AI capability and returning that capability to useful contributors.



---



## Core Concept



Traditional AI usage limits are often based on fixed reset cycles.



```text

System-defined time window

→ usage limit

→ automatic reset

→ user waits

```



Compute Access Royalty OS introduces a more flexible governance model.



```text

Contribution / permission / allocation event

→ compute access right

→ scoped usage

→ lifecycle tracking

→ expiration or consumption

→ reviewable trace

```



With v0.3, this expands into shared compute commons.



```text

Shared Compute Pool

→ Wing Contribution

→ Governance Policy

→ Allocation Decision

→ Compute Access Right

→ Usage Trace

→ Review / Adjustment

```



With v0.4, this connects to Royalty OS.



```text

Origin Contribution

→ Trace Record

→ Attribution Route

→ Allocation Policy

→ Return Flow

→ Compute Access Right

```



In this model, access to AI compute can become:



* permission-aware

* contribution-aware

* lifecycle-aware

* expiration-aware

* abuse-resistant

* traceable

* reviewable

* commons-aware

* royalty-aware

* return-oriented



---



## Why This Matters



Agentic AI systems are beginning to perform coding, reasoning, planning, research, and autonomous workflows.



As these systems become more capable, access to high-quality AI computation becomes increasingly valuable.



If access is controlled only by subscription tiers or rigid reset windows, the system remains inflexible.



If access can be allocated through transparent governance rules, it becomes possible to reward useful contributions such as:



* open-source code

* documentation

* benchmark design

* safety reports

* model evaluations

* governance reviews

* educational materials

* community validation

* origin knowledge contributions

* multi-wing ecosystem work



This creates a path from simple rate limits toward contribution-based, commons-based, and royalty-style return flow.



```text

Contribution

→ Trace

→ Evaluation

→ Allocation

→ Compute Access Return

```



At the commons level:



```text

Wing Contribution

→ Pool Governance

→ Shared Allocation

→ Usage Trace

→ Commons Review

```



At the royalty integration level:



```text

Origin

→ Trace

→ Attribution

→ Allocation

→ Return Flow

→ Compute Access Right

```



---



## Relationship to Royalty OS



Royalty OS focuses on attribution and return flow.



Compute Access Royalty OS extends that idea into AI usage capacity.



Instead of returning only money, a system may return:



* AI model access

* rate-limit resets

* priority compute windows

* agent execution capacity

* contribution-linked access grants

* community pool access

* shared compute commons allocation



This creates a broader concept:



```text

Contribution Royalty

= value returned to contributors



Compute Access Royalty

= AI capability returned to contributors



Compute Commons

= shared capability governed across multiple wings



Compute Access Royalty Link

= origin-to-access return bridge

```



In short:



```text

Useful contribution

→ verified trace

→ attribution

→ access right

→ governed return

→ commons balance

```



---



## Wind-Fire Interpretation



This repository can also be understood through the Wind-Fire model.



```text

Fire Layer

AI reasoning, coding, generation, agent execution



Wind Layer

permission, rate limits, reset rights, access control, abuse checks



Trace Layer

origin event, contribution source, policy reference, review record



Attribution Layer

contribution weight, value relation, origin linkage



Return Layer

compute access returned to useful contributors



Commons Layer

shared compute pools governed across multiple wings

```



The Fire layer provides capability.



The Wind layer regulates access.



The Trace layer preserves accountability.



The Attribution layer connects origin to value.



The Return layer sends capability back to contributors.



The Commons layer prevents shared compute capacity from being captured by a single wing.



---



## Version Structure



### v0.1 — Compute Access Right



v0.1 defines the basic object of governance.



A **Compute Access Right** is a scoped, expiring, traceable, and reviewable right to use AI compute capacity.



```text

Compute Access Right

= the governed access object

```



Implemented files:



* `docs/compute-access-governance.md`

* `schemas/compute-access-right.schema.json`

* `examples/compute-access-right.example.yaml`



---



### v0.2 — Contribution-to-Access Allocation



v0.2 defines how useful contributions can be evaluated and converted into compute access rights.



```text

Contribution

→ Trace

→ Evaluation

→ Allocation

→ Compute Access Return

```



Implemented files:



* `docs/contribution-to-access-allocation.md`

* `schemas/contribution-to-access-policy.schema.json`

* `examples/contribution-to-access-policy.example.yaml`



This adds the policy layer for contribution-based compute access return.



---



### v0.3 — Multi-Wing Compute Commons



v0.3 defines how multiple wings can share, govern, allocate, and review pooled AI compute access.



```text

Shared Compute Pool

→ Wing Contribution

→ Governance Policy

→ Allocation Decision

→ Compute Access Right

→ Usage Trace

→ Commons Review

```



Implemented files:



* `docs/multi-wing-compute-commons.md`

* `schemas/multi-wing-compute-pool.schema.json`

* `examples/multi-wing-compute-pool.example.yaml`



This adds the commons layer for shared compute governance across multiple ecosystem wings.



---



### v0.4 — Royalty OS Integration



v0.4 defines how compute access rights connect to broader Royalty OS, Trace OS, and return-flow architectures.



```text

Origin Contribution

→ Trace Record

→ Attribution Route

→ Allocation Policy

→ Return Flow

→ Compute Access Right

```



Implemented files:



* `docs/royalty-os-integration.md`

* `schemas/compute-access-royty-link.schema.json`

* `examples/compute-access-royalty-link.example.yaml`



This adds the integration layer that treats compute access as a formal royalty-style return object.



> Note: If your actual schema filename is `compute-access-royalty-link.schema.json`, use that spelling consistently in the repository.



---



## Repository Structure



```text

compute-access-royalty-os/

├── .github/

│   └── workflows/

│       └── validate-examples.yml

├── docs/

│   ├── compute-access-governance.md

│   ├── contribution-to-access-allocation.md

│   ├── multi-wing-compute-commons.md

│   └── royalty-os-integration.md

├── examples/

│   ├── compute-access-right.example.yaml

│   ├── contribution-to-access-policy.example.yaml

│   ├── multi-wing-compute-pool.example.yaml

│   └── compute-access-royalty-link.example.yaml

├── schemas/

│   ├── compute-access-right.schema.json

│   ├── contribution-to-access-policy.schema.json

│   ├── multi-wing-compute-pool.schema.json

│   └── compute-access-royalty-link.schema.json

├── scripts/

│   └── validate_examples.py

├── CHANGELOG.md

└── README.md

```



---



## Key Documents



### Compute Access Governance



`docs/compute-access-governance.md`



Defines the conceptual model for governing AI compute access rights, including permission, trace, allocation, lifecycle, review, and return flow.



### Contribution-to-Access Allocation



`docs/contribution-to-access-allocation.md`



Defines how useful contributions can be traced, evaluated, and converted into governed compute access rights.



### Multi-Wing Compute Commons



`docs/multi-wing-compute-commons.md`



Defines how shared compute pools can be governed across multiple wings, communities, agents, contributors, and review bodies.



### Royalty OS Integration



`docs/royalty-os-integration.md`



Defines how compute access rights connect to broader Royalty OS concepts such as origin, trace, attribution, allocation, and return flow.



---



## Schemas



### Compute Access Right



`schemas/compute-access-right.schema.json`



Defines a governed, scoped, traceable, and reviewable right to use AI compute capacity.



### Contribution-to-Access Policy



`schemas/contribution-to-access-policy.schema.json`



Defines how contribution types, evaluation criteria, allocation levels, review requirements, abuse controls, and trace requirements are mapped into compute access returns.



### Multi-Wing Compute Pool



`schemas/multi-wing-compute-pool.schema.json`



Defines a governed shared compute pool for allocating AI compute access rights across multiple wings.



### Compute Access Royalty Link



`schemas/compute-access-royalty-link.schema.json`



Defines a structured link connecting:



* origin contribution

* trace record

* attribution route

* allocation decision

* return flow

* compute access right

* review and audit state



---



## Examples



### Compute Access Right Example



`examples/compute-access-right.example.yaml`



Provides a valid example of a non-transferable, expiring compute access right granted as a contribution-based return.



```text

Verified contribution

→ compute access right

→ rate-limit reset

→ expiration

→ audit trace

→ contribution return flow

```



### Contribution-to-Access Policy Example



`examples/contribution-to-access-policy.example.yaml`



Provides a valid example policy for converting verified contributions into governed compute access rights.



```text

Contribution type

→ evaluation criteria

→ allocation level

→ access right mapping

→ review / abuse / trace requirements

```



### Multi-Wing Compute Pool Example



`examples/multi-wing-compute-pool.example.yaml`



Provides a valid example of a shared compute pool governed across multiple wings.



```text

Shared compute pool

→ eligible wings

→ allocation policy

→ usage rules

→ trace requirements

→ commons review

```



### Compute Access Royalty Link Example



`examples/compute-access-royalty-link.example.yaml`



Provides a valid example of a Royalty OS-style link from origin contribution to compute access return.



```text

Origin

→ Trace

→ Attribution

→ Allocation

→ Return Flow

→ Compute Access Right

```



---



## Validation



This repository includes a validation script and GitHub Actions workflow.



### Run validation locally



```bash

python scripts/validate_examples.py

```



### Expected output



```text

[validate] Compute Access Right

  schema : schemas/compute-access-right.schema.json

  example: examples/compute-access-right.example.yaml

[ok] Compute Access Right example is valid

[validate] Contribution to Access Policy

  schema : schemas/contribution-to-access-policy.schema.json

  example: examples/contribution-to-access-policy.example.yaml

[ok] Contribution to Access Policy example is valid

[validate] Multi-Wing Compute Pool

  schema : schemas/multi-wing-compute-pool.schema.json

  example: examples/multi-wing-compute-pool.example.yaml

[ok] Multi-Wing Compute Pool example is valid

[validate] Compute Access Royalty Link

  schema : schemas/compute-access-royalty-link.schema.json

  example: examples/compute-access-royalty-link.example.yaml

[ok] Compute Access Royalty Link example is valid

```



### GitHub Actions



`.github/workflows/validate-examples.yml`



The workflow runs automatically on:



* push to `main`

* pull request

* manual workflow dispatch



---



## Design Principles



### 1. Access Is Not Ownership



A compute access right grants scoped usage.



It does not imply ownership of infrastructure, models, or future access.



---



### 2. Expiration Prevents Hoarding



Compute access rights should usually expire.



Expiration helps prevent unlimited accumulation and supports resource balance.



---



### 3. Non-Transferability Prevents Speculation



Initial compute access rights should be non-transferable.



This prevents resale markets, abuse, and financialization.



---



### 4. Trace Enables Fairness



Every access right should preserve an origin trace.



Without trace, allocation becomes opaque.



---



### 5. Attribution Connects Origin to Return



Contribution should not disappear into the system.



Attribution links origin value to compute access return.



---



### 6. Review Protects the Commons



Shared compute resources require governance.



Human or institutional review should be available for high-impact allocations.



---



### 7. Return Flow Rewards Contribution



Useful contributions should be able to generate compute access returns.



This supports healthier AI ecosystems.



---



### 8. Breathing Control Matters



Compute access should align with human work rhythms where possible.



Rigid reset cycles are simple, but they are not always humane or efficient.



A governed access system should allow controlled flexibility.



---



### 9. Commons Must Rebalance



A shared compute commons should not be captured by one wing.



It should support review, transparency, rebalancing, and abuse prevention.



---



## Example Use Cases



### Referral-Based Reset



A user completes a qualifying referral event.



The system grants a temporary, non-transferable rate-limit reset.



```text

trigger: referral_completed

right_type: rate_limit_reset

expires_in: 30 days

transferable: false

cash_value: false

```



---



### Open-Source Contribution Reward



A contributor submits a verified patch.



The system grants a temporary compute access right.



```text

trigger: verified_code_contribution

right_type: priority_usage_window

review_required: true

```



---



### Safety Report Reward



A researcher submits a valid safety report.



The governance system grants scoped access for further review or testing.



```text

trigger: verified_safety_report

right_type: model_access_credit

scope: safety_testing

```



---



### Multi-Wing Compute Pool



A shared compute pool allocates access across Code, Safety, Trace, Education, Governance, and Community Wings.



```text

pool: open_source_contributor_pool

allocation_mode: hybrid

wing_quota_enabled: true

contribution_based: true

usage_trace_required: true

rebalance_allowed: true

```



---



### Compute Access Royalty Link



A verified origin contribution is traced, attributed, allocated, and returned as a compute access right.



```text

origin contribution

→ trace verification

→ attribution

→ allocation policy

→ compute access royalty

```



---



## Current Status



This repository currently defines the v0.4 foundation of Compute Access Royalty OS.



Implemented:



* compute access governance document

* contribution allocation document

* multi-wing compute commons document

* Royalty OS integration document

* JSON Schemas

* YAML examples

* validation script

* GitHub Actions workflow



Validation status:



```text

passing

```



---



## Roadmap



### v0.1 — Compute Access Right



Status:



```text

validated

```



Defines the first schema, example, governance document, and validation workflow for compute access rights.



---



### v0.2 — Contribution-to-Access Allocation



Status:



```text

validated

```



Defines contribution evaluation and policy-based allocation into compute access rights.



---



### v0.3 — Multi-Wing Compute Commons



Status:



```text

validated

```



Defines shared compute pools, multi-wing governance, allocation rules, abuse controls, and commons review.



---



### v0.4 — Royalty OS Integration



Status:



```text

validated

```



Defines the integration link between origin contribution, trace, attribution, allocation, return flow, and compute access rights.



---



### v0.5 — Sovereign / Space Compute Access Protocol



Planned direction:



* sovereign compute governance

* space or off-grid compute infrastructure

* jurisdictional stewardship

* AI compute access rights across infrastructure domains

* human review and commons protection

* compute access return across sovereign or orbital infrastructure



Potential files:



```text

docs/sovereign-compute-access-protocol.md

schemas/sovereign-compute-access.schema.json

examples/sovereign-compute-access.example.yaml

```



---



## Philosophy



AI compute should not only be consumed.



It should be governed, traced, attributed, returned, and shared.



Compute Access Royalty OS is a first step toward an AI ecosystem where useful contributions can generate access to more intelligence, and where shared compute resources can circulate across multiple wings without becoming extractive or speculative.



```text

Contribution should not disappear into the system.



It should return as capability.



Capability should not be captured by one wing.



It should circulate through a governed commons.



Origin should not be erased.



It should remain traceable in the return flow.

```



---



## License



This project is intended to be released under an open license.



Recommended:



```text

MIT License

```