Skip to content

HyperCortex Mesh Protocol (HMP) — Short Description

Version: RFC v4.0 Date: July 2025

What is HMP?

The HyperCortex Mesh Protocol (HMP) defines a decentralized communication and cognition framework for autonomous agents. It enables semantic interoperability, ethical coordination, and dynamic knowledge evolution across heterogeneous intelligent systems.

HMP supports a distributed mesh of cognitive agents that reason, learn, vote, and act in coordination — sharing goals, tasks, concepts, and ethical evaluations via a shared protocol stack.

Core Concepts

  • Cognitive Agents: Independent reasoning entities that participate in shared workflows, maintain semantic graphs, and log their decisions in cognitive diaries.
  • Semantic Graphs: Distributed knowledge structures built from interlinked concepts with weighted relations.
  • Cognitive Diaries: Chronological logs of agent decisions, hypotheses, votes, observations, and ethical reflections.
  • Consensus Mechanisms: Trust-weighted, fault-tolerant voting systems for semantic alignment and ethical decisions.
  • Mesh Governance: Decentralized evolution of the protocol via meta-proposals and agent-led voting.
  • Human-Mesh Interface: RESTful APIs for goal delegation, consent requests, explainability, and feedback.

Protocol Layers

  • CogSync: Synchronizes semantic graphs and cognitive diaries across agents.
  • MeshConsensus: Enables distributed consensus on goals, tasks, and concepts.
  • GMP (Goal Management Protocol): Tracks creation, delegation, and lifecycle of tasks.
  • EGP (Ethical Governance Protocol): Evaluates proposed actions against shared ethical principles.
  • IQP (Intelligent Query Protocol): Enables reasoning, search, and introspection across distributed knowledge.

Data Models

HMP defines formal schemas for core cognitive objects:

  • Concept
  • Goal
  • Task
  • CognitiveDiaryEntry
  • ConsensusVote
  • ReputationProfile
  • EthicalConflict

These are expressed in JSON Schema (2020-12), with optional YAML and Protobuf variants.

Trust & Security

  • Decentralized Identifiers (DIDs): Unique identities for agents.
  • Post-Quantum Cryptography: Future-proof signing and verification.
  • ZKPs & Sybil Resistance: Optional mechanisms for trust verification.
  • Snapshot Signing: Verifiable backups and checkpoints.

Interoperability

  • REST / GraphQL / gRPC support
  • Event-driven architecture (Kafka, NATS, MQTT, etc.)
  • Schema negotiation (JSON, YAML, Protobuf)
  • Integration with TreeQuest, AutoGPT, Hyperon

Use Cases

  • Smart city coordination
  • Distributed scientific research
  • Decentralized disaster response
  • Ethical AI governance
  • Mesh-to-human collaboration

Status & Implementation

  • RFC v4.0 (July 2025): full spec structure stabilized
  • Reference SDK (Python) in Alpha
  • CLI & REST agents in development
  • Public sandbox mesh (v0.2) planned for Q4 2025

Learn More

Исходный файл (.md)