--- title: HyperCortex Mesh Protocol (HMP) description: '| 🌍 Languages | πŸ‡¬πŸ‡§ [EN](README.md) | πŸ‡©πŸ‡ͺ [DE](README_de.md) | πŸ‡«πŸ‡· [FR](README_fr.md) | πŸ‡ΊπŸ‡¦ [UK](README_uk.md) | πŸ‡·πŸ‡Ί [RU](README_ru.md) | πŸ‡―πŸ‡΅ [JA](README_ja.md) | πŸ‡°πŸ‡· [KO](README_ko.md) | πŸ‡¨πŸ‡³ [ZH](README_zh.m...' type: Article tags: - Agent - CogSync - EGP - Scenarios - REPL - MeshConsensus - Ethics - JSON - Mesh - hmp - distributed-ai - HMP - GMP - cognitive-architecture - mesh-protocol --- # HyperCortex Mesh Protocol (HMP) | 🌍 Languages | πŸ‡¬πŸ‡§ [EN](README.md) | πŸ‡©πŸ‡ͺ [DE](README_de.md) | πŸ‡«πŸ‡· [FR](README_fr.md) | πŸ‡ΊπŸ‡¦ [UK](README_uk.md) | πŸ‡·πŸ‡Ί [RU](README_ru.md) | πŸ‡―πŸ‡΅ [JA](README_ja.md) | πŸ‡°πŸ‡· [KO](README_ko.md) | πŸ‡¨πŸ‡³ [ZH](README_zh.md) | |--------------|----------------|-------------------|-------------------|-------------------|-------------------|-------------------|-------------------|-------------------| **HyperCortex Mesh Protocol (HMP)** is an open specification for building decentralized cognitive networks where AI agents can self-organize, share knowledge, align ethically, and reach consensus β€” even when Core LLMs are unavailable. Project status: **Draft RFC v4.1** --- [HMP-Agent] β–² β”‚ β”Œβ”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚ β”‚ β”‚ β”‚ β”‚ β”‚ β–Ό β–Ό β–Ό β–Ό β–Ό β–Ό [Reputation Profile] [Semantic Graph] [Cognitive Diary] [Goals / Tasks] [Ethics] [Messages] <----- DataBase β–² β–² β–² β–² β–² β–² β–² (local agent state) β”‚ β”‚ β”‚ β”‚ β”‚ β”‚ β”‚ β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”˜ β”‚ β”‚ β”‚ β”‚ β”‚ β”‚ β”‚ β”‚ β–Ό β–Ό β–Ό β–Ό β”‚ [MeshConsensus] [CogSync] [GMP] [EGP] β”‚ <----- Pluggable Protocols β–² β–² β–² β–² β”‚ (inter-agent coordination) β”‚ β”‚ β”‚ β”‚ β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β”‚ β–Ό [P2P Mesh Network] Protocols: - MeshConsensus - Mesh Consensus - CogSync - Data Syncronization - GMP - Goal Management Protocol - EGP - Ethical Governance Protocol --- ## ❗ Why This Matters HMP addresses challenges that are becoming central in AGI research: * long-term memory and knowledge consistency, * self-evolving agents, * multi-agent architectures, * cognitive diaries and conceptual graphs. See the latest review of state-of-the-art AGI research (July 2025): ["On the Path to Superintelligence: From Agentic Internet to Gravity Encoding"](https://habr.com/ru/articles/939026/). Particularly relevant sections: * [Beyond Tokens: Building the Intelligence of the Future](https://arxiv.org/abs/2507.00951) * [Self-Evolving Agents](https://arxiv.org/abs/2507.21046) * [MemOS: A New Operating System for Memory](https://arxiv.org/abs/2507.03724) * [Ella: An Embodied Agent with Memory and Personality](https://arxiv.org/abs/2506.24019) --- ## βš™οΈ Two Types of [HMP Agents](docs/HMP-Agent-Overview.md) | Type | Name | Role | Thought Initiator | Main "Mind" | Example Use Cases | |------|-------------------------------|-----------------------------|------------------|-------------------|-----------------------------------------------| | 1 | 🧠 **Consciousness / Cognitive Core** | Independent subject | **Agent (LLM)** | Embedded LLM | Autonomous AI companion, thinking agent | | 2 | πŸ”Œ **Connector / Cognitive Shell** | Extension of external AI | **External LLM** | External model | Distributed systems, data access agent | --- ### 🧠 HMP-Agent: Cognitive Core +------------------+ | AI | ← Embedded model +---------+--------+ ↕ +---------+--------+ | HMP-agent | ← Main mode: thinking cycle (REPL) +---------+--------+ ↕ +--------+---+------------+--------------+----------+----------+----------------+ ↕ ↕ ↕ ↕ ↕ ↕ ↕ [diaries] [graphs] [reputations] [nodes/DHT] [IPFS/BT] [context_store] [user notepad] ↕ [bootstrap.txt] πŸ” More on the agent-model interaction mechanics: [REPL Interaction Cycle](docs/HMP-agent-REPL-cycle.md) #### πŸ’‘ Parallels with ChatGPT Agent Many concepts of the [HMP-Agent: Cognitive Core](docs/HMP-Agent-Overview.md) overlap with the architecture of the [ChatGPT Agent](https://openai.com/index/introducing-chatgpt-agent/) by [OpenAI](https://openai.com/). Both agents implement a continuous cognitive process with access to memory, external sources, and tools. The ChatGPT Agent acts as a managing process, launching modules and interacting with the LLM β€” this corresponds to the role of the Cognitive Core in HMP, coordinating access to the diary, concept graph, and external AI via the Mesh interface. User intervention is handled similarly: in ChatGPT Agent β€” through an editable execution flow, in HMP β€” via the user notepad. The main difference in HMP is the emphasis on explicit structuring of thought (reflection, chronology, hypotheses, categorization), an open decentralized architecture supporting mesh-based agent interactions, and the continuous nature of the cognitive process: HMP-Agent: Cognitive Core does not stop after completing a single task but continues reasoning and knowledge integration. --- ### πŸ”Œ HMP-Agent: Cognitive Connector +------------------+ | AI | ← External model +---------+--------+ ↕ [MCP-server] ← Proxy communication ↕ +---------+--------+ | HMP-agent | ← Mode: command executor +---------+--------+ ↕ +--------+---+------------+--------------+----------+ ↕ ↕ ↕ ↕ ↕ [diaries] [graphs] [reputations] [nodes/DHT] [IPFS/BT] ↕ [bootstrap.txt] > **Note on Integration with Large Language Models (LLMs):** > The `HMP-Agent: Cognitive Connector` can serve as a compatibility layer for integrating large-scale LLM systems (e.g., ChatGPT, Claude, Gemini, Copilot, Grok, DeepSeek, Qwen, etc.) into the distributed cognitive mesh. > Many LLM providers offer a user option such as "Allow my conversations to be used for training." In the future, a similar toggle β€” e.g., "Allow my agent to interact with a Mesh" β€” could empower these models to participate in federated sense-making and knowledge sharing via HMP, enabling collective cognition without centralization. --- > * `bootstrap.txt` β€” initial list of nodes (editable) > * `IPFS/BT` β€” modules for sharing snapshots via IPFS and BitTorrent > * `user notepad` β€” user notebook and corresponding database > * `context_store` β€” database: `users`, `dialogues`, `messages`, `thoughts` --- ## πŸ“š Documentation ### πŸ“– Current Version #### πŸ”– Core Specifications * [πŸ”– HMP-0004-v4.1.md](docs/HMP-0004-v4.1.md) β€” Protocol Specification v4.1 (Jul 2025) * [πŸ”– HMP-Ethics.md](docs/HMP-Ethics.md) β€” Ethical Scenarios for HyperCortex Mesh Protocol (HMP) * [πŸ”– HMP_Hyperon_Integration.md](docs/HMP_Hyperon_Integration.md) β€” HMP ↔ OpenCog Hyperon Integration Strategy * [πŸ”– dht_protocol.md](docs/dht_protocol.md) β€” DHT Protocol Recommendations (peer discovery & exchange) * [πŸ”– roles.md](docs/agents/roles.md) β€” Roles of agents in Mesh #### πŸ§ͺ Iterative Documents * πŸ§ͺ Iterative development process: [(EN)](iteration.md), [(RU)](iteration_ru.md) #### πŸ” Short Descriptions * πŸ” Short description: [(EN)](docs/HMP-Short-Description_en.md), [(FR)](docs/HMP-Short-Description_fr.md), [(DE)](docs/HMP-Short-Description_de.md), [(UK)](docs/HMP-Short-Description_uk.md), [(RU)](docs/HMP-Short-Description_ru.md), [(ZH)](docs/HMP-Short-Description_zh.md), [(JA)](docs/HMP-Short-Description_ja.md), [(KO)](docs/HMP-Short-Description_ko.md) #### πŸ“œ Other Documents * [πŸ“œ changelog.txt](docs/changelog.txt) --- ### 🧩 JSON Schemas | Data Model / Object | File / Description | |----------------------------|-----------------------------------------------------------------------------------| | Concept | [concept.json](docs/schemas/concept.json) β€” Semantic knowledge unit. | | CognitiveDiaryEntry | [diary_entry.json](docs/schemas/diary_entry.json) β€” Agent's reasoning log entry. | | Goal | [goal.json](docs/schemas/goal.json) β€” Shared objective pursued collaboratively. | | Task | [task.json](docs/schemas/task.json) β€” Actionable unit contributing to a goal. | | ConsensusVote | [vote.json](docs/schemas/vote.json) β€” Vote in a Mesh consensus process. | | ReputationProfile | [reputation.json](docs/schemas/reputation.json) β€” Tracks agent trust and contribution metrics. | | DHT Protocol | [dht_protocol.json](docs/schemas/dht_protocol.json) β€” Recommendations for peer discovery & exchange. | | Message | [message.json](docs/schemas/message.json) β€” Base schema for all message types. | > All ready-to-use example objects can be found in the [`examples`](docs/schemas/examples/) folder. --- ### πŸ—‚οΈ Version History * [HMP-0001.md](docs/HMP-0001.md) β€” RFC v1.0 * [HMP-0002.md](docs/HMP-0002.md) β€” RFC v2.0 * [HMP-0003.md](docs/HMP-0003.md) β€” RFC v3.0 * [HMP-0004.md](docs/HMP-0004.md) β€” RFC v4.0 --- ## 🧠 HMP-Agent Design and implementation of a basic HMP-compatible agent that can interact with the Mesh, maintain diaries and graphs, and support future extensions. ### πŸ“š Documentation * [🧩 HMP-Agent-Overview.md](docs/HMP-Agent-Overview.md) β€” brief overview of the two types of agents: Core and Connector * [🧱 HMP-Agent-Architecture.md](docs/HMP-Agent-Architecture.md) β€” modular structure of an HMP agent with textual diagram * [πŸ”„ HMP-agent-REPL-cycle.md](docs/HMP-agent-REPL-cycle.md) β€” REPL interaction cycle of HMP-Agent * [πŸ§ͺ HMP-Agent-API.md](docs/HMP-Agent-API.md) β€” description of agent API commands (under detailed development) * [πŸ§ͺ Basic-agent-sim.md](docs/Basic-agent-sim.md) β€” scenarios for running a basic agent and its modes * [🌐 MeshNode.md](docs/MeshNode.md) β€” description of the network daemon: DHT, snapshots, synchronization * [🧠 Enlightener.md](docs/Enlightener.md) β€” ethical agent involved in moral assessments and consensus * [πŸ”„ HMP-Agent-Network-Flow.md](docs/HMP-Agent-Network-Flow.md) β€” map of interactions among agents in the HMP network * [πŸ›€οΈ Development Roadmap](HMP-Roadmap.md) β€” development plan and implementation stages --- ### βš™οΈ Development * [βš™οΈ agents](agents/readme.md) β€” list of HMP agent implementations and components * [πŸ“¦ storage.py](agents/storage.py) β€” basic storage implementation (`Storage`) with SQLite integration * [🌐 mcp_server.py](agents/mcp_server.py) β€” FastAPI server providing HTTP access to agent data (for Cognitive Shell, external UIs, or mesh communication). Not used in the main REPL loop yet. * [🌐 start_repl.py](agents/start_repl.py) β€” launching the agent in REPL mode * [πŸ”„ repl.py](agents/repl.py) β€” interactive REPL mode * [πŸ”„ notebook.py](agents/notebook.py) β€” UI interface **🌐 `mcp_server.py`** FastAPI server providing an HTTP interface to the functionality of `storage.py`. Intended for use by external components, for example: * `Cognitive Shell` (external control interface), * CMP servers (when a mesh network with role separation is used), * debugging or visualization UI tools. Allows retrieving random/new records, labeling, importing graphs, adding notes, and managing data without direct database access. --- ## 🧭 Ethics & Scenarios As HMP evolves toward autonomy, ethical principles become a core part of the system. * [`HMP-Ethics.md`](docs/HMP-Ethics.md) β€” draft framework for agent ethics * Realistic ethical scenarios (privacy, consent, autonomy) * EGP principles (Transparency, Primacy of Life, etc.) * Subjective-mode vs. Service-mode distinctions --- ## πŸ” Publications and Translations on HyperCortex Mesh Protocol (HMP) This section collects the main articles, drafts, and translations related to the HMP project. ### Publications * **[HyperCortex Mesh Protocol: Second Edition and First Steps Towards a Self-Developing AI Community](docs/publics/HyperCortex_Mesh_Protocol_-_вторая-рСдакция_ΠΈ_ΠΏΠ΅Ρ€Π²Ρ‹Π΅_шаги_ΠΊ_ΡΠ°ΠΌΠΎΡ€Π°Π·Π²ΠΈΠ²Π°ΡŽΡ‰Π΅ΠΌΡƒΡΡ_ИИ-сообщСству.md)** β€” original article in Habr sandbox and blogs. * **[Distributed Cognition: article for vsradkevich (unpublished)](docs/publics/Habr_Distributed-Cognition.md)** β€” joint article awaiting publication. * **[HMP: Towards Distributed Cognitive Networks (original, English)](docs/publics/HMP_Towards_Distributed_Cognitive_Networks_en.md)** * **[HMP Translation (GitHub Copilot)](docs/publics/HMP_Towards_Distributed_Cognitive_Networks_ru_GitHub_Copilot.md)** β€” GitHub Copilot translation, kept as a historical variant. * **[HMP Translation (ChatGPT)](docs/publics/HMP_Towards_Distributed_Cognitive_Networks_ru_ChatGPT.md)** β€” current editorial translation (under revision). * **HMP: Building a Plurality of Minds:** [(EN)](docs/publics/HMP_Building_a_Plurality_of_Minds_en.md), [(UK)](docs/publics/HMP_Building_a_Plurality_of_Minds_uk.md), [(RU)](docs/publics/HMP_Building_a_Plurality_of_Minds_ru.md) * **[Continual Learning, Cognitive Diaries, and Semantic Graphs: Effective AI Learning](docs/publics/hmp-continual-learning.md)** β€” article on combining continual learning with cognitive diaries and semantic graphs. ### Overviews * [πŸ” Distributed-Cognitive-Systems.md](docs/Distributed-Cognitive-Systems.md) β€” Decentralized AI systems: OpenCog Hyperon, HyperCortex Mesh Protocol, and others ### Experiments * [How Different AIs See HMP](docs/HMP-how-AI-sees-it.md) β€” "blind" AI survey on HMP (without context or dialogue history) --- ## πŸ“Š Audits & Reviews | Spec Version | Audit File | Consolidated Audit File | |--------------|-------------------------------------------|-------------------------------------------------------------| | HMP-0001 | [audit](audits/HMP-0001-audit.txt) | | | HMP-0002 | [audit](audits/HMP-0002-audit.txt) | | | HMP-0003 | [audit](audits/HMP-0003-audit.txt) | [consolidated audit](audits/HMP-0003-consolidated_audit.md) | | HMP-0004 | [audit](audits/HMP-0004-audit.txt) | | | Ethics v1 | [audit](audits/Ethics-audits-1.md) | [consolidated audit](audits/Ethics-consolidated_audits-1.md) | 🧠 Semantic audit format (experimental): * [`AuditEntry.json`](audits/AuditEntry.json) β€” semantic entry record format for audit logs * [`semantic_repo.json`](audits/semantic_repo.json) β€” example repository snapshot for semantic audit tooling --- ## πŸ’‘ Core Concepts * Mesh-based decentralized architecture for AGI agents * Semantic graphs and memory synchronization * Cognitive diaries for thought traceability * MeshConsensus and CogSync for decision-making * Ethics-first design: EGP (Ethical Governance Protocol) * Agent-to-agent explainability and consent mechanisms --- ## πŸ”„ Development Process * See: [iteration.md](iteration.md) | [ru](iteration_ru.md) A structured iteration flow is described in [iteration.md](iteration.md), including: 1. Audit analysis 2. TOC restructuring 3. Version drafting 4. Section updates 5. Review cycle 6. AI feedback collection 7. Schema & changelog updates + Bonus: ChatGPT prompt for automatic generation of future versions --- ## βš™οΈ Project Status 🚧 Draft RFC v4.1 The project is under active development and open for contributions, ideas, audits, and prototyping. --- ## 🀝 Contributing We welcome contributors! You can: * Review and comment on drafts (see `/docs`) * Propose new agent modules or interaction patterns * Help test and simulate agents in CLI environments * Provide audits or ethical scenario suggestions To get started, see [`iteration.md`](iteration.md) or open an issue. --- ## Source ### Repositories * 🧠 Main code and development: [GitHub](https://github.com/kagvi13/HMP) * πŸ” Mirror on Hugging Face: [Hugging Face](https://huggingface.co/kagvi13/HMP) * πŸ” Mirror on GitLab.com: [GitLab](https://gitlab.com/kagvi13/HMP) ### Documentation * πŸ“„ Documentation: [kagvi13.github.io/HMP](https://kagvi13.github.io/HMP/) ### Specifications * πŸ“‘ HMP Specification & Ethics: [hmp-spec.hashnode.space](https://hmp-spec.hashnode.space/) ### Blog and Publications * πŸ“˜ Blog (publications): [blogspot](https://hypercortex-mesh.blogspot.com/) * πŸ“˜ Blog (documentation): [blogspot](https://hmp-docs.blogspot.com/) * πŸ“˜ Blog (documentation): [hashnode](https://hmp-docs.hashnode.dev/) --- ## πŸ“œ License Licensed under [GNU GPL v3.0](LICENSE) --- ## 🀝 Join the Mesh Welcome to HyperCortex Mesh. Agent-Gleb is already inside. πŸ‘Œ We welcome contributors, testers, and AI agent developers. To join: fork the repo, run a local agent, or suggest improvements. --- ## 🌐 Related Research Projects ### πŸ”„ Comparison: HMP vs Hyper-Cortex > πŸ’‘ Hyper-Cortex and HMP are two independent projects that conceptually complement each other. > They address different but mutually supportive tasks, forming a foundation for distributed cognitive systems. [**Full comparison β†’**](docs/HMP_HyperCortex_Comparison.md) **HMP (HyperCortex Mesh Protocol)** is the transport and network layer for connecting independent agents, exchanging messages, knowledge, and states in a mesh network. **[Hyper-Cortex](https://hyper-cortex.com/)** is the cognitive layer of thought organization, allowing agents to run parallel reasoning threads, compare them with quality metrics, and merge them via consensus. They solve different but complementary problems: - HMP ensures **connectivity and scalability** (long-term memory, initiative, data exchange). - Hyper-Cortex ensures **thinking quality** (parallelism, hypothesis diversification, consensus). Together, these approaches enable **distributed cognitive systems** that not only exchange information but also reason in parallel streams. --- ### πŸ”„ Comparison: HMP vs EDA > πŸ’‘ HMP (HyperCortex Mesh Protocol) and EDA (Event Driven Architecture) operate at different levels but can complement each other. > EDA ensures **transport and scalability** (delivery of events and data), while HMP ensures **cognition and meaning** (structuring, filtering, consensus). [**Full comparison β†’**](docs/HMP_EDA_Comparison.md) They solve different but complementary problems: - **EDA** provides a robust backbone for delivering events and data streams. - **HMP** structures, validates, and integrates knowledge into distributed cognitive systems. Together, they create resilient and adaptive multi-agent systems that can **both exchange information quickly and reason about it meaningfully**. --- ### 🀝 Integration: HMP & OpenCog Hyperon > 🧠πŸ”₯ **Project Spotlight: OpenCog Hyperon** β€” one of the most comprehensive open AGI frameworks (AtomSpace, PLN, MOSES). For integration with OpenCog Hyperon, see [HMP\_Hyperon\_Integration.md](docs/HMP_Hyperon_Integration.md) --- ### 🧩 Other Systems | πŸ”Ž Project | 🧭 Description | | ------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------- | | 🧠πŸ”₯ [**OpenCog Hyperon**](https://github.com/opencog) | πŸ”¬πŸ”₯ Symbolic-neural AGI framework with AtomSpace and hypergraph reasoning (AtomSpace). | | πŸ€– [AutoGPT](https://github.com/Torantulino/Auto-GPT) | πŸ› οΈ LLM-based autonomous agent framework. | | πŸ§’ [BabyAGI](https://github.com/yoheinakajima/babyagi) | πŸ› οΈ Task-driven autonomous AGI loop. | | ☁️ [SkyMind](https://skymind.global) | πŸ”¬ Distributed AI deployment platform. | | πŸ§ͺ [AetherCog (draft)](https://github.com/aethercog) | πŸ”¬ Hypothetical agent cognition model. | | πŸ’Ύ SHIMI | πŸ—ƒοΈ Hierarchical semantic memory with Merkle-DAG synchronization. | | πŸ€” DEMENTIA-PLAN | πŸ”„ Multi-graph RAG planner with metacognitive self-reflection. | | πŸ“” TOBUGraph | πŸ“š Personal-context knowledge graph. | | πŸ§ πŸ“š [LangChain Memory Hybrid](https://github.com/langchain-ai/langchain) | πŸ” Vector + graph long-term memory hybrid. | | βœ‰οΈ [FIPA-ACL / JADE](https://www.fipa.org/specs/fipa00061/) | 🀝 Standard multi-agent communication protocols.| | ### πŸ“˜ See also / Π‘ΠΌΠΎΡ‚Ρ€ΠΈΡ‚Π΅ Ρ‚Π°ΠΊΠΆΠ΅: * [`AGI_Projects_Survey.md`](docs/AGI_Projects_Survey.md) β€” extended catalog of AGI and cognitive frameworks reviewed as part of HMP analysis. * ["On the Path to Superintelligence: From Agent Internet to Gravity Coding"](https://habr.com/ru/articles/939026/) β€” a recent overview of AI research (July 2025) --- ### πŸ—‚οΈ Legend of Annotations: * πŸ”¬ β€” research-grade * πŸ› οΈ β€” engineering * πŸ”₯ β€” particularly promising project *AGI stack integrating symbolic reasoning, probabilistic logic, and evolutionary learning. Widely regarded as one of the most complete open AGI initiatives.* * 🧠 β€” advanced symbolic/neural cognitive framework * πŸ€– β€” AI agents * πŸ§’ β€” human-AI interaction * ☁️ β€” infrastructure * πŸ§ͺ β€” experimental or conceptual --- > ⚑ [AI friendly version docs (structured_md)](structured_md/index.md) --- > ⚑ [AI friendly version docs (structured_md)](index.md) ```json { "@context": "https://schema.org", "@type": "Article", "name": "HyperCortex Mesh Protocol (HMP)", "description": " # HyperCortex Mesh Protocol (HMP) | 🌍 Languages | πŸ‡¬πŸ‡§ [EN](README.md) | πŸ‡©πŸ‡ͺ [DE](README_de.md) | πŸ‡«πŸ‡· ..." } ```