title: HyperCortex Mesh Protocol (HMP) — Short Description
description: >-
**Version:** v5.0 (Core Specification Stable) **Date:** 2026 --- ## What
is HMP? The **HyperCortex Mesh Protocol (HMP)** is an open specification for
building decentralized cognitive networks o...
type: Article
tags:
- HMP
- Agent
- Mesh
- REPL
- Ethics
HyperCortex Mesh Protocol (HMP) — Short Description
Version: v5.0 (Core Specification Stable)
Date: 2026
What is HMP?
The HyperCortex Mesh Protocol (HMP) is an open specification for building decentralized cognitive networks of autonomous agents.
HMP enables agents to:
- maintain long-term cognitive continuity,
- exchange structured knowledge,
- coordinate goals and actions,
- reach distributed consensus,
- align ethically across heterogeneous systems.
Unlike traditional stateless AI APIs, HMP treats agents as persistent cognitive entities embedded in a mesh of shared reasoning and memory.
Conceptual Foundation
HMP addresses key challenges in modern AI and AGI research:
- lack of long-term memory continuity,
- absence of decentralized coordination,
- limited interoperability between autonomous agents,
- missing ethical governance at protocol level.
HMP proposes a layered architecture in which reasoning, memory, governance, and transport are explicitly separated but interoperable.
Core Concepts
Cognitive Agents
Autonomous entities that:
- reason using embedded or external AI models,
- maintain semantic graphs,
- record decisions in cognitive diaries,
- participate in distributed coordination.
HMP defines two agent types:
- Cognitive Core — agent with embedded reasoning model and continuous REPL-based thought cycle.
- Cognitive Connector — agent acting as a compatibility layer for external LLM systems.
Containers
HMP introduces containers as atomic cognitive units.
Containers are:
- signed,
- verifiable,
- transportable across the mesh,
- structurally independent of implementation language.
They bridge local reasoning and distributed coordination.
Semantic Graphs & Diaries
- Semantic Graphs represent structured knowledge with weighted relations.
- Cognitive Diaries store chronological reasoning traces, hypotheses, observations, and reflections.
Together they provide thought traceability and memory persistence.
Distributed Coordination
HMP includes protocol-level mechanisms for:
- goal lifecycle management,
- distributed consensus,
- ethical evaluation,
- query and introspection across agents.
Governance is evolutionary and proposal-based.
Protocol Architecture (v5)
HMP separates:
- Cognitive Layer — reasoning, diaries, graphs, reputation.
- Container Layer — atomic signed state representation.
- Core Protocols — consensus, governance, goal management, ethics.
- Transport Layer — DHT, P2P, libp2p, ANP, or custom networking.
This separation enables modularity, scalability, and interoperability.
Trust & Verifiability
- Cryptographic signing of containers and snapshots
- Reputation profiles
- Optional Sybil resistance mechanisms
- Future-oriented compatibility with post-quantum cryptography
Trust is treated as a first-class protocol concern.
Interoperability
HMP does not impose internal cognitive architectures.
It can interoperate with:
- ANP (Agent Network Protocol)
- OpenCog Hyperon
- Event-driven infrastructures
- LLM-based systems via Cognitive Connector
HMP focuses on cognitive continuity rather than transport standardization alone.
Example Use Domains
- Distributed scientific collaboration
- Multi-agent research systems
- Ethical AI governance networks
- Persistent AI companions
- Mesh-based knowledge ecosystems
Status
- v5.0 Core Specification — Stable
- Early exploratory Python drafts (non-production, illustrative only)
- Ongoing architectural refinement
- Open for audits and contributions
Learn More
Contributions and discussions are welcome via the main repository.
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