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Commons Reasoning Network Specification

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Commons Reasoning Network

The federated future of intelligence.


Commons Reasoning Network (CRN) is an open-source, AGPL 3.0+ federated intelligence infrastructure for autonomous agents, distributed compute, interoperable protocols, economic systems, and cooperative governance.

It is designed as a civilization-scale intelligence operating system rather than a traditional AI application.


Core System Overview

Commons Reasoning Network is composed of multiple interoperable layers:

  • Intelligence Runtime Layer
  • Autonomous Agent System
  • Universal Agent Protocol (UAP)
  • Distributed Compute Network
  • Economic Marketplace Layer
  • Identity & Trust Layer
  • Memory Sovereignty Layer
  • Simulation & Research Layer
  • Governance & Commons Foundation

Full Feature List

1. Core Intelligence Platform

  • Multi-model reasoning engine (cloud, local, open models)
  • Tool-augmented inference pipeline
  • Long-context reasoning support
  • Multimodal input processing (text, image, audio, files)
  • Structured outputs (plans, tasks, actions)
  • Extensible plugin-based reasoning system

2. Identity Layer (Human + Agent + Org)

  • Humans, agents, organizations, cooperatives, nodes as first-class identities
  • Cryptographic identity system
  • Multi-identity per user
  • Pseudonymous or verified modes
  • Cross-platform portability
  • Role-based access control

3. Agent System

  • 2 autonomous agents free per user
  • Persistent agent memory
  • Goal-driven execution
  • Background workflows
  • Multi-agent collaboration
Agent Capabilities
  • API/tool usage
  • File system interaction
  • Web interaction
  • Code execution sandbox
  • Scheduling and automation
  • Long-running workflows

4. Universal Agent Protocol (UAP)

  • Cross-system agent interoperability standard
  • Agent identity and capability declarations
  • Secure agent-to-agent communication
  • Task delegation system
  • Streaming execution coordination
Economic Layer
  • Microtransactions between agents
  • Escrow-based execution
  • Compute accounting system
  • Service billing integration

5. Compute Infrastructure Layer

  • Centralized cloud compute
  • Distributed volunteer compute
  • Institutional clusters
  • Edge devices
Compute Features
  • Workload routing engine
  • GPU usage tracking
  • Latency optimization
  • Regional balancing
  • Priority scheduling

6. Compute Market Layer (Real-Time Pricing System)

  • Real-time GPU pricing
  • Compute auctions
  • Demand-based pricing
  • Regional compute markets
  • Priority bidding system

7. Economic System

Free Tier
  • Casual users: free access
  • Students: free verified access
  • 2 autonomous agents included per user
Paid Scaling
  • Additional agents beyond 2
  • Compute-heavy workloads
  • Enterprise orchestration
  • Autonomous services
A La Carte Services
  • Legal analysis (per document)
  • Tax automation (per filing)
  • Research reports
  • Booking agents
  • Deployment automation
  • Sales automation
Outcome-Based Pricing
  • Leads generated
  • Cost savings
  • Hires completed
  • Efficiency gains

8. Agent Lifecycle Management Layer

  • Creation and deployment
  • Versioning and upgrades
  • Cloning and forking
  • Retirement and archival
  • Lifecycle state tracking

9. Marketplace Layer

  • Third-party agents
  • Workflows and pipelines
  • Reasoning modules
  • Datasets and integrations

Revenue Split:

  • 70% creator
  • 20% platform
  • 10% commons infrastructure

10. Memory Sovereignty Layer

  • Encrypted user-owned memory vaults
  • Full portability
  • Selective sharing controls
  • Local-only execution mode

Optional:

  • Anonymized contribution for model improvement (opt-in)

11. Modular Intelligence Routing

  • Dynamic model selection per task
  • Domain-specific reasoning engines
  • Coding
  • Legal
  • Science
  • Language
  • Multimodal
  • Symbolic reasoning

12. Open Safety & Policy Layer

  • Modular safety rules
  • Transparent policy definitions
  • Deployment-specific moderation layers
  • Auditable safety decisions

13. Distributed Compute Network

  • User-contributed compute
  • Institutional participation
  • Cooperative nodes
  • Edge compute support

14. Federated Infrastructure Layer

  • Personal nodes
  • Schools and universities
  • Nonprofits
  • Cooperatives
  • Enterprises
  • Sovereign deployments

15. Human Contribution Economy

  • Documentation contributions
  • Dataset contributions
  • Moderation
  • Translation
  • Training improvements

Rewards:

  • Compute credits
  • Governance rights
  • System access expansion

16. AI Cooperative Ownership Layer

  • Developers
  • Users
  • Educators
  • Researchers
  • Infrastructure operators

Regional Cooperatives:

  • Education
  • Civic systems
  • Compute hosting
  • Research
  • Development

17. AI Commons Foundation

  • Steward of UAP protocol
  • AGPL ecosystem governance
  • Public infrastructure protection
  • Educational AI systems
  • Compute commons initiatives

Public Compute Pool:

  • Free civic AI access
  • Educational inference
  • Emergency systems

18. Governance & Transparency Layer

  • Multi-stakeholder governance
  • Open decision logs
  • Portable data rights
  • Transparent compute economics
  • System-wide auditability

19. Identity Integration Layer

  • Unified identity across humans, agents, and organizations
  • Cryptographic authentication
  • Permission-based access control
  • Multi-identity support

20. Event & Logging Layer (System Nervous System)

  • Global event bus for agents, tools, compute, economy, and memory
  • Immutable system logs
  • Reproducible execution traces
  • Forensic debugging tools

21. Simulation / Sandbox Layer

  • Safe execution environments
  • Dry-run workflows
  • Environment cloning
  • Outcome prediction systems

22. Research & Experimentation Layer

  • Experimental agents
  • A/B testing framework
  • Reproducible benchmarks
  • Open research workflows
  • Community evaluation systems

23. Self-Healing Infrastructure Layer

  • Automatic failover systems
  • Compute rerouting
  • Workflow recovery
  • Degraded mode operation
  • Redundant distributed execution

24. Global Federation Sync Layer

  • Cross-node synchronization
  • Distributed state consistency
  • Conflict resolution systems
  • Eventual consistency model
  • Multi-node agent coordination

25. Human-in-the-Loop Override Layer

  • Manual override of agent actions
  • Escalation workflows
  • Approval gates for high-risk operations
  • Emergency kill-switch system
  • Review queues for sensitive decisions

26. Explainability & Reason Transparency Layer

  • Full reasoning trace logs
  • Decision explanations
  • Confidence scoring systems
  • Audit-friendly summaries
  • Human-readable reasoning breakdowns

System Principles

  • Intelligence is shared infrastructure
  • Access is free at the base layer
  • Scaling is paid, not gated
  • Agents operate under scoped permissions
  • Memory is user-owned and portable
  • Protocol is open (UAP)
  • System is federated and interoperable
  • Governance is transparent and distributed
  • System is self-healing and resilient
  • All actions are observable and explainable
  • Ecosystem is protected from enclosure (AGPL + commons governance)

Specification Branding License (SBL)

Standard

  • Fully AGPL-3.0+ compliant system
  • Copyleft enforced for network deployments
  • Required attribution:

Optional


License & Notice Requirements

Commons Reasoning Network is released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).
By contributing to this project, you agree that your contributions will also be released under this license.

Please note the following:

  • All contributions must comply with the AGPL-3.0+ terms.
  • Under Section 7 of the license, all redistributions, forks, and derivative works must preserve attribution to: Roxanne Ardary and roxanneardary.com.
  • Commons Reasoning Network specifications are free to use with attribution. A Specification Branding License can be negotiated upon request.
  • The project’s notice.md file tracks attribution requirements and contributor acknowledgments. Any update that adds new contributors or modifies attribution should also update notice.md.
  • When submitting a pull request, ensure that any new files maintain the attribution headers where applicable.
  • Network-deployed versions of this software must also remain fully AGPL-3.0+ compliant, including exposure of source code modifications when applicable under the license.

For full legal details, please refer to the AGPL-3.0+ license and the project’s notice.md file.


Notice – Commons Reasoning Network

Attribution Requirement: Under Section 7 of the AGPL 3.0+ license, all redistributions, forks, and derivative works, including network-deployed versions of this project, must provide attribution to Roxanne Ardary and roxanneardary.com.

Contributors

This file tracks contributors and their specific contributions to the project.

  • Roxanne Ardary, roxanneardary.com – May 13, 2026
    Created the Commons Reasoning Network project specification defining a federated AI infrastructure system with agents, compute markets, identity layers, governance structures, and the Universal Agent Protocol (UAP).
  • [Add other contributors here] – [Date]
    [Describe contribution in one sentence]

License – Commons Reasoning Network

This repository is licensed under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).

Key Points

  • You are free to use, modify, and distribute the code.
  • All redistributions, forks, and derivative works or network-deployed versions must also be licensed under AGPL-3.0+ and provide attribution to Roxanne Ardary and roxanneardary.com as required under Section 7 of the license.
  • The software is provided “as is,” without warranty of any kind.

For the full license text, see GNU AGPL-3.0 License.