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⚙️ Substrates

  • MindLink is the connective layer that links diverse AIs, cognitive architectures as dynamic and on-demand mind for agents.
  • It enables real-time fluid mind mapping via mind discovery, matching & synchronisation.

💻 AIOS

  • AIOS is the operating system for distributed & decentralized intelligence.
  • It provides the runtime, resource management, and coordination protocols that enable AI models & agents to function at scale and in resilient manner.

🕸️ SuperGraph

  • SuperGraph is a graph of graphs interconnecting AI models, agents, policies, and services.
  • It forms static, dynamic, or hybrid structures to enable higher-order intelligence.

🎛️ SuperMode

  • SuperMode provides plural frameworks for AIGrid’s operation deployment styles - public, private, or commons-based and more.
  • Each mode configures collaboration, governance, and economics for specific network contexts.

🤝 Collectives Network

  • Collective Network is the coalition layer where agents and agencies form purposeful alliances.
  • It enables cooperative strategies, shared goals, and emergent collective power.
  • Pervasive.link is the meta-protocol that binds heterogeneous systems together.
  • It encodes, translates protocol, context, languages, and strategies into interoperable structures.

📜 LedgerGrid

  • The trust and accountability layer for multi-agent systems.
  • It records actions, transactions, and agreements for auditability and trust without central control.

🗂️ RegistryGrid

  • Acts as a registry of registries in distributed ecosystems.
  • It links fragmented registries into a coherent fabric for identity, capabilities, and policies.

📡 Syndication Network

  • The mechanism for distributing AI, agents, knowledge, services, and updates across networks.
  • It enables subscription, and flow of intelligence beyond local boundaries.

🚚 Super Distribution Network

  • Is an open, secure asset, service, tasks distribution mechanism that ensures free replication while enforcing rights, provenance, and policy at runtime.
  • Turns every node into a secure distributor.

🔍 Super Sourcing Network

  • A protocol on how system scouts, curates, and routes the best AI services for any goal.
  • It unifies exploration, evaluation, and selection into a higher-level protocol.

🛣️ Super Router Network

  • A protocol for selecting the right AI service from a crowded ecosystem.
  • It weighs goals, constraints, and performance signals to pick the best fit in real time.

🚪 Super Gate

  • Protocol-native AI gateway.
  • It combines security, routing, and policy enforcement to balance openness with control.

⚖️ SuperAlignment Network

  • Framework to establish, monitor shared alignment across agents and AI systems.
  • It encodes plural ethics, values, and objectives into programmable policies.

🛡️ GuardRails

  • Provides boundaries and constraints for AI, agent & system behavior.
  • It prevents misuse, enforces safety, and ensures actions remain within acceptable limits.

🗳️ OpenSelection Network

  • Ensures fairness and transparency in choosing models without central influence, agents, or service.
  • It enables open, auditable selection processes aligned with community or system goals.

🧑‍⚖️ Human in Loop

  • Integrates human oversight in critical decision points.
  • It balances automation with accountability, ensuring trust and interpretability.

📏 Regulatory Network

  • Formalizes obligations for safety, privacy, and compliance by encodes compliance requirements into system operations.
  • It ensures agents and networks adhere to sectoral laws, standards, and oversight bodies.
  • Encodes contracts, rights, and obligations into decentralized agents, systems.
  • It provides enforceability, liability and ensures actions have binding consequences within legal and policy frameworks.

🌍 Federation

  • Supports governance across distributed networks and stakeholders.
  • It enables multi-party collaboration through interoperable governance structures.

🏛️ Legislative Network

  • Protocols for the rule-making process in MAS ecosystems.
  • It defines how new policies, norms, and laws are proposed, debated, and ratified.

⚖️ Judiciary Network

  • Collection of mechanisms for serving as the interpretive body of the system.
  • It resolves debate, disputes by interpreting rules, contracts, and precedents within MAS.

⚔️ Adjudication Network

  • Collection of protocol & mechanisms for handling (case-by-case) conflict resolution between agents.
  • It applies laws and policies to specific disputes, ensuring fairness and consistency.

🚨 Enforcement Network

  • Ensures compliance with laws, rulings, and contracts.
  • It provides mechanisms for sanctions, incentives, and corrective measures.

📜 Constitution Network

  • Encodes the foundational principles and governance structure of MAS.
  • It defines rights, roles, and limits of power across agents and institutions.

📖 Lawbook

  • Maintains the codified set of rules, precedents, and procedures.
  • It provides agents with a transparent, accessible reference for legal compliance.

📊 Evaluation

  • Assesses performance, efficiency, and ethical compliance of agents and collectives.
  • It measures quality, reliability, and alignment against benchmarks and standards.

✅ Verification

  • Confirms that agent actions, data, and outcomes match declared policies and rules.
  • It provides traceability and proof, ensuring systems behave as specified.

☁️ ComputeGrid

  • A decentralized compute network spanning private, public, and regional clouds.
  • It provides a unified execution layer where jobs run seamlessly across heterogeneous infrastructure.

🛠️ Operators

🧩 Cognitive Operators

  • Composer: Agent operator that is specialized for composing graphs interconnecting AI models, agents, policies, and services to solve tasks or form higher order intelligence.

  • Selector: Agent operator that is specialized for Super Sourcing & Open Selection.

  • Executor: Agent operator responsible for carring out assigned tasks reliably, efficiently and in a compliant manner. It translates specifications into actions within the AI run time.
  • Orchestrator: Agent operator that coordinates multiple agents to achieve complex goals. It manages dependencies, sequencing, and cooperation.
  • Fulfiller: Operator ensures commitments and promises are delivered as agreed while being compliant. It maintains reliability and trust in agent interactions.
  • Negotiator: Operator specialized mediates between agents with conflicting goals or constraints. It balances trade-offs and finds mutually acceptable agreements.
  • Informant: Supplies accurate, timely knowledge from different parts of the systems to other agents as per defined context. It strengthens decision-making with trusted information.
  • Solver: Specializes in resolving domain-specific challenges. It chooses & applies specialist algorithms or reasoning to achieve precise outcomes.
  • Explorer: Operator searches new options, environments, or solution spaces. It drives discovery, novelty, and adaptability.
  • Scouter: Operator evaluates and ranks available assets, services, or strategies. It generates actionable shortlists for selection and routing.
  • Critic: Operator assesses the quality, validity, or risk of agent outputs. It provides corrective feedback and prevents error propagation.
  • Planner: Maps out structured pathways toward long-term goals. It manages strategy, foresight, and resource selection & allocation.

🏛️ Governance Operators

  • Governor: Operators that directs overall system behavior through policies and rules for alignment, safety & governance. It balances autonomy with collective stability.

  • Regulator: Operators that perform regulation - Imposes constraints to prevent harmful or unsafe actions. It ensures compliance with standards and norms.

  • Registrar: Operators that creates, updates & maintains real time records of agents, AIs, services.
  • Verifier: Operators that performs verification using Verification substrate protocols.
  • Evaluator: Operators that performs evaluation using Evaluation substrate protocols.

  • Judge: Operator based on Judiciary Network protocols - Interprets rules and resolves disputes between agents.

  • Tribunal: Collection of operators that handles collective adjudication of complex cases. It represents multi-party judgment and higher-level authority.