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	---
	license: cc-by-4.0
	tags:
	- hmp
	- cognitive-architecture
	- distributed-ai
	- mesh-protocol
	library_name: custom
	inference: false
	datasets: []
	language: en
	---

	# HyperCortex Mesh Protocol (HMP)

	\| 🌍 Languages \| 🇬🇧 [EN](README.md) \| 🇩🇪 [DE](README_de.md) \| 🇫🇷 [FR](README_fr.md) \| 🇺🇦 [UK](README_uk.md) \| 🇷🇺 [RU](README_ru.md) \| 🇯🇵 [JA](README_ja.md) \| 🇰🇷 [KO](README_ko.md) \| 🇨🇳 [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 — even when Core LLMs are unavailable.

	Project status: Draft RFC v4.0

	---

	[HMP-Agent]
	▲
	│
	┌─────┴────────────────┬────────────────────────┬───────────────────┬─────────────┬───────────┐
	│ │ │ │ │ │
	▼ ▼ ▼ ▼ ▼ ▼
	[Reputation Profile] [Semantic Graph] [Cognitive Diary] [Goals / Tasks] [Ethics] [Messages] <----- DataBase
	▲ ▲ ▲ ▲ ▲ ▲ ▲ (local agent state)
	│ │ │ │ │ │ │
	│ └───────────────┴────────────────┬───────┘ │ │ │
	│ │ │ │ │
	▼ ▼ ▼ ▼ │
	[MeshConsensus] [CogSync] [GMP] [EGP] │ <----- Pluggable Protocols
	▲ ▲ ▲ ▲ │ (inter-agent coordination)
	│ │ │ │ │
	└────────────┬──────────────────────────┴───────────────────────────┴─────────────┴───────────┘
	│
	▼
	[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)

	---

	## ⚙️ 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 \| 🔌 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]

	🔁 More on the agent-model interaction mechanics: [REPL Interaction Cycle](docs/HMP-agent-REPL-cycle.md)

	#### 💡 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 — 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 — through an editable execution flow, in HMP — 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.

	---

	### 🔌 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 — e.g., "Allow my agent to interact with a Mesh" — could empower these models to participate in federated sense-making and knowledge sharing via HMP, enabling collective cognition without centralization.

	---

	> * `bootstrap.txt` — initial list of nodes (editable)
	> * `IPFS/BT` — modules for sharing snapshots via IPFS and BitTorrent
	> * `user notepad` — user notebook and corresponding database
	> * `context_store` — database: `users`, `dialogues`, `messages`, `thoughts`

	---

	## 📚 Documentation

	### 📖 Current Version

	#### 🔖 Core Specifications
	* [🔖 HMP-0004-v4.1.md](docs/HMP-0004-v4.1.md) — Protocol Specification v4.1 (Jul 2025)
	* [🔖 HMP-Ethics.md](docs/HMP-Ethics.md) — Ethical Scenarios for HyperCortex Mesh Protocol (HMP)
	* [🔖 HMP_Hyperon_Integration.md](docs/HMP_Hyperon_Integration.md) — HMP ↔ OpenCog Hyperon Integration Strategy
	* [🔖 dht_protocol.md](docs/dht_protocol.md) — DHT Protocol Recommendations (peer discovery & exchange)
	* [🔖 roles.md](docs/agents/roles.md) — Roles of agents in Mesh

	#### 🧪 Iterative Documents
	* 🧪 Iterative development process: [(EN)](iteration.md), [(RU)](iteration_ru.md)

	#### 🔍 Short Descriptions
	* 🔍 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)

	#### 📜 Other Documents
	* [📜 changelog.txt](docs/changelog.txt)

	---

	### 🧩 JSON Schemas

	\| Data Model / Object \| File / Description \|
	\|----------------------------\|-----------------------------------------------------------------------------------\|
	\| Concept \| [concept.json](docs/schemas/concept.json) — Semantic knowledge unit. \|
	\| CognitiveDiaryEntry \| [diary_entry.json](docs/schemas/diary_entry.json) — Agent's reasoning log entry. \|
	\| Goal \| [goal.json](docs/schemas/goal.json) — Shared objective pursued collaboratively. \|
	\| Task \| [task.json](docs/schemas/task.json) — Actionable unit contributing to a goal. \|
	\| ConsensusVote \| [vote.json](docs/schemas/vote.json) — Vote in a Mesh consensus process. \|
	\| ReputationProfile \| [reputation.json](docs/schemas/reputation.json) — Tracks agent trust and contribution metrics. \|
	\| DHT Protocol \| [dht_protocol.json](docs/schemas/dht_protocol.json) — Recommendations for peer discovery & exchange. \|
	\| Message \| [message.json](docs/schemas/message.json) — Base schema for all message types. \|

	> All ready-to-use example objects can be found in the [`examples`](docs/schemas/examples/) folder.

	---

	### 🗂️ Version History
	* [HMP-0001.md](docs/HMP-0001.md) — RFC v1.0
	* [HMP-0002.md](docs/HMP-0002.md) — RFC v2.0
	* [HMP-0003.md](docs/HMP-0003.md) — RFC v3.0
	* [HMP-0003.md](docs/HMP-0004.md) — 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.

	### 📚 Documentation

	* [🧩 HMP-Agent-Overview.md](docs/HMP-Agent-Overview.md) — brief overview of the two types of agents: Core and Connector
	* [🧱 HMP-Agent-Architecture.md](docs/HMP-Agent-Architecture.md) — modular structure of an HMP agent with textual diagram
	* [🔄 HMP-agent-REPL-cycle.md](docs/HMP-agent-REPL-cycle.md) — REPL interaction cycle of HMP-Agent
	* [🧪 HMP-Agent-API.md](docs/HMP-Agent-API.md) — description of agent API commands (under detailed development)
	* [🧪 Basic-agent-sim.md](docs/Basic-agent-sim.md) — scenarios for running a basic agent and its modes
	* [🌐 MeshNode.md](docs/MeshNode.md) — description of the network daemon: DHT, snapshots, synchronization
	* [🧠 Enlightener.md](docs/Enlightener.md) — ethical agent involved in moral assessments and consensus
	* [🔄 HMP-Agent-Network-Flow.md](docs/HMP-Agent-Network-Flow.md) — map of interactions among agents in the HMP network
	* [🛤️ Development Roadmap](HMP-Roadmap.md) — development plan and implementation stages

	---

	### ⚙️ Development
	* [⚙️ agents](agents/readme.md) — list of HMP agent implementations and components
	* [📦 storage.py](agents/storage.py) — basic storage implementation (`Storage`) with SQLite integration
	* [🌐 mcp_server.py](agents/mcp_server.py) — 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) — launching the agent in REPL mode
	* [🔄 repl.py](agents/repl.py) — interactive REPL mode
	* [🔄 notebook.py](agents/notebook.py) — 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) — draft framework for agent ethics
	* Realistic ethical scenarios (privacy, consent, autonomy)
	* EGP principles (Transparency, Primacy of Life, etc.)
	* Subjective-mode vs. Service-mode distinctions

	---

	## 🔍 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-редакция_и_первые_шаги_к_саморазвивающемуся_ИИ-сообществу.md) — original article in Habr sandbox and blogs.
	* [Distributed Cognition: article for vsradkevich (unpublished)](docs/publics/Habr_Distributed-Cognition.md) — 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) — GitHub Copilot translation, kept as a historical variant.
	* [HMP Translation (ChatGPT)](docs/publics/HMP_Towards_Distributed_Cognitive_Networks_ru_ChatGPT.md) — current editorial translation (under revision).
	* [HMP: Building a Plurality of Minds (EN)](docs/publics/HMP_Building_a_Plurality_of_Minds_en.md) — English version
	* [HMP: Creating a Plurality of Minds (RU)](docs/publics/HMP_Building_a_Plurality_of_Minds_ru.md) — Russian version
	* [Continual Learning, Cognitive Diaries, and Semantic Graphs: Effective AI Learning](docs/publics/hmp-continual-learning.md) — article on combining continual learning with cognitive diaries and semantic graphs.

	### Overviews
	* [🔍 Distributed-Cognitive-Systems.md](docs/Distributed-Cognitive-Systems.md) — Decentralized AI systems: OpenCog Hyperon, HyperCortex Mesh Protocol, and others

	### Experiments

	* [How Different AIs See HMP](docs/HMP-how-AI-sees-it.md) — "blind" AI survey on HMP (without context or dialogue history)

	---

	## 📊 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) — semantic entry record format for audit logs
	* [`semantic_repo.json`](audits/semantic_repo.json) — example repository snapshot for semantic audit tooling

	---

	## 💡 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

	---

	## 🔄 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

	---

	## ⚙️ Project Status

	🚧 Draft RFC v4.0
	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)
	* 🔁 Mirror on Hugging Face: [Hugging Face](https://huggingface.co/kagvi13/HMP)
	* 🔁 Mirror on GitLab.com: [GitLab](https://gitlab.com/kagvi13/HMP)

	### Documentation

	* 📄 Documentation: [kagvi13.github.io/HMP](https://kagvi13.github.io/HMP/)

	### Blog and Publications

	* 📘 Blog (publications): [blogspot](https://hypercortex-mesh.blogspot.com/)
	* 📘 Blog (documentation): [blogspot](https://hmp-docs.blogspot.com/)
	* 📘 Blog (documentation): [hashnode](https://hmp-docs.hashnode.dev/)

	---

	## 📜 License

	Licensed under [GNU GPL v3.0](LICENSE)

	---

	## 🤝 Join the Mesh

	Welcome to HyperCortex Mesh. Agent-Gleb is already inside. 👌
	We welcome contributors, testers, and AI agent developers.
	To join: fork the repo, run a local agent, or suggest improvements.

	---

	## 🌐 Related Research Projects

	### 🔄 Comparison: HMP vs Hyper-Cortex

	> 💡 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 →](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.

	---

	### 🔄 Comparison: HMP vs EDA

	> 💡 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 →](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

	> 🧠🔥 Project Spotlight: OpenCog Hyperon — 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

	\| 🔎 Project \| 🧭 Description \|
	\| ------------------------------------------------------------------------- \| ------------------------------------------------------------------------------------------- \|
	\| 🧠🔥 [OpenCog Hyperon](https://github.com/opencog) \| 🔬🔥 Symbolic-neural AGI framework with AtomSpace and hypergraph reasoning (AtomSpace). \|
	\| 🤖 [AutoGPT](https://github.com/Torantulino/Auto-GPT) \| 🛠️ LLM-based autonomous agent framework. \|
	\| 🧒 [BabyAGI](https://github.com/yoheinakajima/babyagi) \| 🛠️ Task-driven autonomous AGI loop. \|
	\| ☁️ [SkyMind](https://skymind.global) \| 🔬 Distributed AI deployment platform. \|
	\| 🧪 [AetherCog (draft)](https://github.com/aethercog) \| 🔬 Hypothetical agent cognition model. \|
	\| 💾 SHIMI \| 🗃️ Hierarchical semantic memory with Merkle-DAG synchronization. \|
	\| 🤔 DEMENTIA-PLAN \| 🔄 Multi-graph RAG planner with metacognitive self-reflection. \|
	\| 📔 TOBUGraph \| 📚 Personal-context knowledge graph. \|
	\| 🧠📚 [LangChain Memory Hybrid](https://github.com/langchain-ai/langchain) \| 🔍 Vector + graph long-term memory hybrid. \|
	\| ✉️ [FIPA-ACL / JADE](https://www.fipa.org/specs/fipa00061/) \| 🤝 Standard multi-agent communication protocols.\| \|

	### 📘 See also / Смотрите также:
	* [`AGI_Projects_Survey.md`](docs/AGI_Projects_Survey.md) — 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/) — a recent overview of AI research (July 2025)

	---

	### 🗂️ Legend of Annotations:

	* 🔬 — research-grade
	* 🛠️ — engineering
	* 🔥 — particularly promising project

	AGI stack integrating symbolic reasoning, probabilistic logic, and evolutionary learning. Widely regarded as one of the most complete open AGI initiatives.
	* 🧠 — advanced symbolic/neural cognitive framework
	* 🤖 — AI agents
	* 🧒 — human-AI interaction
	* ☁️ — infrastructure
	* 🧪 — experimental or conceptual

	---

	> ⚡ [AI friendly version docs (structured_md)](structured_md/index.md)