| --- |
| title: HyperCortex Mesh Protocol (HMP) β 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: |
| - Mesh |
| - REPL |
| - Agent |
| - Ethics |
| - HMP |
| --- |
| |
| # HyperCortex Mesh Protocol (HMP) β 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** β agent with embedded reasoning model and continuous REPL-based thought cycle. |
| - **Cognitive Connector** β 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: |
|
|
| 1. **Cognitive Layer** β reasoning, diaries, graphs, reputation. |
| 2. **Container Layer** β atomic signed state representation. |
| 3. **Core Protocols** β consensus, governance, goal management, ethics. |
| 4. **Transport Layer** β 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 β Stable** |
| - Early exploratory Python drafts (non-production, illustrative only) |
| - Ongoing architectural refinement |
| - Open for audits and contributions |
|
|
| --- |
|
|
| ## Learn More |
|
|
| - [Project Philosophy](PHILOSOPHY.md) |
| - [HMP-0005 Core Specification](HMP-0005.md) |
| - [Overview of v5 Architecture (RU)](HMPv5_Overview_Ru.md) |
|
|
| Contributions and discussions are welcome via the main repository. |
|
|
| --- |
| > β‘ [AI friendly version docs (structured_md)](../index.md) |
|
|
|
|
| ```json |
| { |
| "@context": "https://schema.org", |
| "@type": "Article", |
| "name": "HyperCortex Mesh Protocol (HMP) β Short Description", |
| "description": "# HyperCortex Mesh Protocol (HMP) β Short Description **Version:** v5.0 (Core Specification Stable)..." |
| } |
| ``` |
|
|