{"id":51198013,"url":"https://github.com/samuraiwriter7/compute-access-royalty-os","last_synced_at":"2026-06-27T22:03:45.970Z","repository":{"id":364895874,"uuid":"1269631857","full_name":"SamuraiWriter7/compute-access-royalty-os","owner":"SamuraiWriter7","description":"A governance architecture for AI compute access rights, rate-limit resets, contribution-based allocation, and return flow in agentic AI ecosystems.","archived":false,"fork":false,"pushed_at":"2026-06-15T02:25:47.000Z","size":22,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-06-15T02:26:04.098Z","etag":null,"topics":["access-governance-sso","agentic-ai","ai-governance","ai-infrastructure","compute-access","contribution-rewards","json-schema","rate-limit","royalty-os","value-circulation"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/SamuraiWriter7.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2026-06-15T00:22:29.000Z","updated_at":"2026-06-15T02:25:50.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/SamuraiWriter7/compute-access-royalty-os","commit_stats":null,"previous_names":["samuraiwriter7/compute-access-royalty-os"],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/SamuraiWriter7/compute-access-royalty-os","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SamuraiWriter7%2Fcompute-access-royalty-os","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SamuraiWriter7%2Fcompute-access-royalty-os/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SamuraiWriter7%2Fcompute-access-royalty-os/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SamuraiWriter7%2Fcompute-access-royalty-os/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/SamuraiWriter7","download_url":"https://codeload.github.com/SamuraiWriter7/compute-access-royalty-os/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SamuraiWriter7%2Fcompute-access-royalty-os/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34869005,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-27T02:00:06.362Z","response_time":126,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["access-governance-sso","agentic-ai","ai-governance","ai-infrastructure","compute-access","contribution-rewards","json-schema","rate-limit","royalty-os","value-circulation"],"created_at":"2026-06-27T22:03:45.148Z","updated_at":"2026-06-27T22:03:45.965Z","avatar_url":"https://github.com/SamuraiWriter7.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Compute Access Royalty OS\n\nA 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.\n\n---\n\n## Overview\n\n**Compute Access Royalty OS** defines a structured governance layer for AI compute access.\n\nAs AI systems become more powerful, access to computation is no longer just a technical limit. It becomes a governable resource.\n\nThis repository treats AI compute access as a structured, traceable, reviewable, commons-aware, and return-oriented right.\n\nExamples include:\n\n* rate-limit resets\n* priority usage windows\n* temporary access boosts\n* model access credits\n* agent execution allowances\n* contributor access grants\n* community compute pool access\n* multi-wing shared compute pools\n* compute access royalty links\n\nThe goal is not to create a currency.\n\nThe goal is to define a responsible architecture for governing access to AI capability and returning that capability to useful contributors.\n\n---\n\n## Core Concept\n\nTraditional AI usage limits are often based on fixed reset cycles.\n\n```text\nSystem-defined time window\n→ usage limit\n→ automatic reset\n→ user waits\n```\n\nCompute Access Royalty OS introduces a more flexible governance model.\n\n```text\nContribution / permission / allocation event\n→ compute access right\n→ scoped usage\n→ lifecycle tracking\n→ expiration or consumption\n→ reviewable trace\n```\n\nWith v0.3, this expands into shared compute commons.\n\n```text\nShared Compute Pool\n→ Wing Contribution\n→ Governance Policy\n→ Allocation Decision\n→ Compute Access Right\n→ Usage Trace\n→ Review / Adjustment\n```\n\nWith v0.4, this connects to Royalty OS.\n\n```text\nOrigin Contribution\n→ Trace Record\n→ Attribution Route\n→ Allocation Policy\n→ Return Flow\n→ Compute Access Right\n```\n\nIn this model, access to AI compute can become:\n\n* permission-aware\n* contribution-aware\n* lifecycle-aware\n* expiration-aware\n* abuse-resistant\n* traceable\n* reviewable\n* commons-aware\n* royalty-aware\n* return-oriented\n\n---\n\n## Why This Matters\n\nAgentic AI systems are beginning to perform coding, reasoning, planning, research, and autonomous workflows.\n\nAs these systems become more capable, access to high-quality AI computation becomes increasingly valuable.\n\nIf access is controlled only by subscription tiers or rigid reset windows, the system remains inflexible.\n\nIf access can be allocated through transparent governance rules, it becomes possible to reward useful contributions such as:\n\n* open-source code\n* documentation\n* benchmark design\n* safety reports\n* model evaluations\n* governance reviews\n* educational materials\n* community validation\n* origin knowledge contributions\n* multi-wing ecosystem work\n\nThis creates a path from simple rate limits toward contribution-based, commons-based, and royalty-style return flow.\n\n```text\nContribution\n→ Trace\n→ Evaluation\n→ Allocation\n→ Compute Access Return\n```\n\nAt the commons level:\n\n```text\nWing Contribution\n→ Pool Governance\n→ Shared Allocation\n→ Usage Trace\n→ Commons Review\n```\n\nAt the royalty integration level:\n\n```text\nOrigin\n→ Trace\n→ Attribution\n→ Allocation\n→ Return Flow\n→ Compute Access Right\n```\n\n---\n\n## Relationship to Royalty OS\n\nRoyalty OS focuses on attribution and return flow.\n\nCompute Access Royalty OS extends that idea into AI usage capacity.\n\nInstead of returning only money, a system may return:\n\n* AI model access\n* rate-limit resets\n* priority compute windows\n* agent execution capacity\n* contribution-linked access grants\n* community pool access\n* shared compute commons allocation\n\nThis creates a broader concept:\n\n```text\nContribution Royalty\n= value returned to contributors\n\nCompute Access Royalty\n= AI capability returned to contributors\n\nCompute Commons\n= shared capability governed across multiple wings\n\nCompute Access Royalty Link\n= origin-to-access return bridge\n```\n\nIn short:\n\n```text\nUseful contribution\n→ verified trace\n→ attribution\n→ access right\n→ governed return\n→ commons balance\n```\n\n---\n\n## Wind-Fire Interpretation\n\nThis repository can also be understood through the Wind-Fire model.\n\n```text\nFire Layer\nAI reasoning, coding, generation, agent execution\n\nWind Layer\npermission, rate limits, reset rights, access control, abuse checks\n\nTrace Layer\norigin event, contribution source, policy reference, review record\n\nAttribution Layer\ncontribution weight, value relation, origin linkage\n\nReturn Layer\ncompute access returned to useful contributors\n\nCommons Layer\nshared compute pools governed across multiple wings\n```\n\nThe Fire layer provides capability.\n\nThe Wind layer regulates access.\n\nThe Trace layer preserves accountability.\n\nThe Attribution layer connects origin to value.\n\nThe Return layer sends capability back to contributors.\n\nThe Commons layer prevents shared compute capacity from being captured by a single wing.\n\n---\n\n## Version Structure\n\n### v0.1 — Compute Access Right\n\nv0.1 defines the basic object of governance.\n\nA **Compute Access Right** is a scoped, expiring, traceable, and reviewable right to use AI compute capacity.\n\n```text\nCompute Access Right\n= the governed access object\n```\n\nImplemented files:\n\n* `docs/compute-access-governance.md`\n* `schemas/compute-access-right.schema.json`\n* `examples/compute-access-right.example.yaml`\n\n---\n\n### v0.2 — Contribution-to-Access Allocation\n\nv0.2 defines how useful contributions can be evaluated and converted into compute access rights.\n\n```text\nContribution\n→ Trace\n→ Evaluation\n→ Allocation\n→ Compute Access Return\n```\n\nImplemented files:\n\n* `docs/contribution-to-access-allocation.md`\n* `schemas/contribution-to-access-policy.schema.json`\n* `examples/contribution-to-access-policy.example.yaml`\n\nThis adds the policy layer for contribution-based compute access return.\n\n---\n\n### v0.3 — Multi-Wing Compute Commons\n\nv0.3 defines how multiple wings can share, govern, allocate, and review pooled AI compute access.\n\n```text\nShared Compute Pool\n→ Wing Contribution\n→ Governance Policy\n→ Allocation Decision\n→ Compute Access Right\n→ Usage Trace\n→ Commons Review\n```\n\nImplemented files:\n\n* `docs/multi-wing-compute-commons.md`\n* `schemas/multi-wing-compute-pool.schema.json`\n* `examples/multi-wing-compute-pool.example.yaml`\n\nThis adds the commons layer for shared compute governance across multiple ecosystem wings.\n\n---\n\n### v0.4 — Royalty OS Integration\n\nv0.4 defines how compute access rights connect to broader Royalty OS, Trace OS, and return-flow architectures.\n\n```text\nOrigin Contribution\n→ Trace Record\n→ Attribution Route\n→ Allocation Policy\n→ Return Flow\n→ Compute Access Right\n```\n\nImplemented files:\n\n* `docs/royalty-os-integration.md`\n* `schemas/compute-access-royty-link.schema.json`\n* `examples/compute-access-royalty-link.example.yaml`\n\nThis adds the integration layer that treats compute access as a formal royalty-style return object.\n\n\u003e Note: If your actual schema filename is `compute-access-royalty-link.schema.json`, use that spelling consistently in the repository.\n\n---\n\n## Repository Structure\n\n```text\ncompute-access-royalty-os/\n├── .github/\n│   └── workflows/\n│       └── validate-examples.yml\n├── docs/\n│   ├── compute-access-governance.md\n│   ├── contribution-to-access-allocation.md\n│   ├── multi-wing-compute-commons.md\n│   └── royalty-os-integration.md\n├── examples/\n│   ├── compute-access-right.example.yaml\n│   ├── contribution-to-access-policy.example.yaml\n│   ├── multi-wing-compute-pool.example.yaml\n│   └── compute-access-royalty-link.example.yaml\n├── schemas/\n│   ├── compute-access-right.schema.json\n│   ├── contribution-to-access-policy.schema.json\n│   ├── multi-wing-compute-pool.schema.json\n│   └── compute-access-royalty-link.schema.json\n├── scripts/\n│   └── validate_examples.py\n├── CHANGELOG.md\n└── README.md\n```\n\n---\n\n## Key Documents\n\n### Compute Access Governance\n\n`docs/compute-access-governance.md`\n\nDefines the conceptual model for governing AI compute access rights, including permission, trace, allocation, lifecycle, review, and return flow.\n\n### Contribution-to-Access Allocation\n\n`docs/contribution-to-access-allocation.md`\n\nDefines how useful contributions can be traced, evaluated, and converted into governed compute access rights.\n\n### Multi-Wing Compute Commons\n\n`docs/multi-wing-compute-commons.md`\n\nDefines how shared compute pools can be governed across multiple wings, communities, agents, contributors, and review bodies.\n\n### Royalty OS Integration\n\n`docs/royalty-os-integration.md`\n\nDefines how compute access rights connect to broader Royalty OS concepts such as origin, trace, attribution, allocation, and return flow.\n\n---\n\n## Schemas\n\n### Compute Access Right\n\n`schemas/compute-access-right.schema.json`\n\nDefines a governed, scoped, traceable, and reviewable right to use AI compute capacity.\n\n### Contribution-to-Access Policy\n\n`schemas/contribution-to-access-policy.schema.json`\n\nDefines how contribution types, evaluation criteria, allocation levels, review requirements, abuse controls, and trace requirements are mapped into compute access returns.\n\n### Multi-Wing Compute Pool\n\n`schemas/multi-wing-compute-pool.schema.json`\n\nDefines a governed shared compute pool for allocating AI compute access rights across multiple wings.\n\n### Compute Access Royalty Link\n\n`schemas/compute-access-royalty-link.schema.json`\n\nDefines a structured link connecting:\n\n* origin contribution\n* trace record\n* attribution route\n* allocation decision\n* return flow\n* compute access right\n* review and audit state\n\n---\n\n## Examples\n\n### Compute Access Right Example\n\n`examples/compute-access-right.example.yaml`\n\nProvides a valid example of a non-transferable, expiring compute access right granted as a contribution-based return.\n\n```text\nVerified contribution\n→ compute access right\n→ rate-limit reset\n→ expiration\n→ audit trace\n→ contribution return flow\n```\n\n### Contribution-to-Access Policy Example\n\n`examples/contribution-to-access-policy.example.yaml`\n\nProvides a valid example policy for converting verified contributions into governed compute access rights.\n\n```text\nContribution type\n→ evaluation criteria\n→ allocation level\n→ access right mapping\n→ review / abuse / trace requirements\n```\n\n### Multi-Wing Compute Pool Example\n\n`examples/multi-wing-compute-pool.example.yaml`\n\nProvides a valid example of a shared compute pool governed across multiple wings.\n\n```text\nShared compute pool\n→ eligible wings\n→ allocation policy\n→ usage rules\n→ trace requirements\n→ commons review\n```\n\n### Compute Access Royalty Link Example\n\n`examples/compute-access-royalty-link.example.yaml`\n\nProvides a valid example of a Royalty OS-style link from origin contribution to compute access return.\n\n```text\nOrigin\n→ Trace\n→ Attribution\n→ Allocation\n→ Return Flow\n→ Compute Access Right\n```\n\n---\n\n## Validation\n\nThis repository includes a validation script and GitHub Actions workflow.\n\n### Run validation locally\n\n```bash\npython scripts/validate_examples.py\n```\n\n### Expected output\n\n```text\n[validate] Compute Access Right\n  schema : schemas/compute-access-right.schema.json\n  example: examples/compute-access-right.example.yaml\n[ok] Compute Access Right example is valid\n[validate] Contribution to Access Policy\n  schema : schemas/contribution-to-access-policy.schema.json\n  example: examples/contribution-to-access-policy.example.yaml\n[ok] Contribution to Access Policy example is valid\n[validate] Multi-Wing Compute Pool\n  schema : schemas/multi-wing-compute-pool.schema.json\n  example: examples/multi-wing-compute-pool.example.yaml\n[ok] Multi-Wing Compute Pool example is valid\n[validate] Compute Access Royalty Link\n  schema : schemas/compute-access-royalty-link.schema.json\n  example: examples/compute-access-royalty-link.example.yaml\n[ok] Compute Access Royalty Link example is valid\n```\n\n### GitHub Actions\n\n`.github/workflows/validate-examples.yml`\n\nThe workflow runs automatically on:\n\n* push to `main`\n* pull request\n* manual workflow dispatch\n\n---\n\n## Design Principles\n\n### 1. Access Is Not Ownership\n\nA compute access right grants scoped usage.\n\nIt does not imply ownership of infrastructure, models, or future access.\n\n---\n\n### 2. Expiration Prevents Hoarding\n\nCompute access rights should usually expire.\n\nExpiration helps prevent unlimited accumulation and supports resource balance.\n\n---\n\n### 3. Non-Transferability Prevents Speculation\n\nInitial compute access rights should be non-transferable.\n\nThis prevents resale markets, abuse, and financialization.\n\n---\n\n### 4. Trace Enables Fairness\n\nEvery access right should preserve an origin trace.\n\nWithout trace, allocation becomes opaque.\n\n---\n\n### 5. Attribution Connects Origin to Return\n\nContribution should not disappear into the system.\n\nAttribution links origin value to compute access return.\n\n---\n\n### 6. Review Protects the Commons\n\nShared compute resources require governance.\n\nHuman or institutional review should be available for high-impact allocations.\n\n---\n\n### 7. Return Flow Rewards Contribution\n\nUseful contributions should be able to generate compute access returns.\n\nThis supports healthier AI ecosystems.\n\n---\n\n### 8. Breathing Control Matters\n\nCompute access should align with human work rhythms where possible.\n\nRigid reset cycles are simple, but they are not always humane or efficient.\n\nA governed access system should allow controlled flexibility.\n\n---\n\n### 9. Commons Must Rebalance\n\nA shared compute commons should not be captured by one wing.\n\nIt should support review, transparency, rebalancing, and abuse prevention.\n\n---\n\n## Example Use Cases\n\n### Referral-Based Reset\n\nA user completes a qualifying referral event.\n\nThe system grants a temporary, non-transferable rate-limit reset.\n\n```text\ntrigger: referral_completed\nright_type: rate_limit_reset\nexpires_in: 30 days\ntransferable: false\ncash_value: false\n```\n\n---\n\n### Open-Source Contribution Reward\n\nA contributor submits a verified patch.\n\nThe system grants a temporary compute access right.\n\n```text\ntrigger: verified_code_contribution\nright_type: priority_usage_window\nreview_required: true\n```\n\n---\n\n### Safety Report Reward\n\nA researcher submits a valid safety report.\n\nThe governance system grants scoped access for further review or testing.\n\n```text\ntrigger: verified_safety_report\nright_type: model_access_credit\nscope: safety_testing\n```\n\n---\n\n### Multi-Wing Compute Pool\n\nA shared compute pool allocates access across Code, Safety, Trace, Education, Governance, and Community Wings.\n\n```text\npool: open_source_contributor_pool\nallocation_mode: hybrid\nwing_quota_enabled: true\ncontribution_based: true\nusage_trace_required: true\nrebalance_allowed: true\n```\n\n---\n\n### Compute Access Royalty Link\n\nA verified origin contribution is traced, attributed, allocated, and returned as a compute access right.\n\n```text\norigin contribution\n→ trace verification\n→ attribution\n→ allocation policy\n→ compute access royalty\n```\n\n---\n\n## Current Status\n\nThis repository currently defines the v0.4 foundation of Compute Access Royalty OS.\n\nImplemented:\n\n* compute access governance document\n* contribution allocation document\n* multi-wing compute commons document\n* Royalty OS integration document\n* JSON Schemas\n* YAML examples\n* validation script\n* GitHub Actions workflow\n\nValidation status:\n\n```text\npassing\n```\n\n---\n\n## Roadmap\n\n### v0.1 — Compute Access Right\n\nStatus:\n\n```text\nvalidated\n```\n\nDefines the first schema, example, governance document, and validation workflow for compute access rights.\n\n---\n\n### v0.2 — Contribution-to-Access Allocation\n\nStatus:\n\n```text\nvalidated\n```\n\nDefines contribution evaluation and policy-based allocation into compute access rights.\n\n---\n\n### v0.3 — Multi-Wing Compute Commons\n\nStatus:\n\n```text\nvalidated\n```\n\nDefines shared compute pools, multi-wing governance, allocation rules, abuse controls, and commons review.\n\n---\n\n### v0.4 — Royalty OS Integration\n\nStatus:\n\n```text\nvalidated\n```\n\nDefines the integration link between origin contribution, trace, attribution, allocation, return flow, and compute access rights.\n\n---\n\n### v0.5 — Sovereign / Space Compute Access Protocol\n\nPlanned direction:\n\n* sovereign compute governance\n* space or off-grid compute infrastructure\n* jurisdictional stewardship\n* AI compute access rights across infrastructure domains\n* human review and commons protection\n* compute access return across sovereign or orbital infrastructure\n\nPotential files:\n\n```text\ndocs/sovereign-compute-access-protocol.md\nschemas/sovereign-compute-access.schema.json\nexamples/sovereign-compute-access.example.yaml\n```\n\n---\n\n## Philosophy\n\nAI compute should not only be consumed.\n\nIt should be governed, traced, attributed, returned, and shared.\n\nCompute 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.\n\n```text\nContribution should not disappear into the system.\n\nIt should return as capability.\n\nCapability should not be captured by one wing.\n\nIt should circulate through a governed commons.\n\nOrigin should not be erased.\n\nIt should remain traceable in the return flow.\n```\n\n---\n\n## License\n\nThis project is intended to be released under an open license.\n\nRecommended:\n\n```text\nMIT License\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsamuraiwriter7%2Fcompute-access-royalty-os","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsamuraiwriter7%2Fcompute-access-royalty-os","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsamuraiwriter7%2Fcompute-access-royalty-os/lists"}