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docs/HMP-0005.md

@@ -6576,7 +6576,1468 @@ The example respects the canonical container structure:
 
 ---
 
-### A.3 Container classes — quick reference + short JSON samples
+### Appendix A.3 — Container Classes (Quick Reference)
+
+#### A.3.1 Network Layer
+
+The Network Layer defines containers responsible for peer discovery, capability advertisement, and local neighbor search within the HMP Mesh. These containers do not carry cognitive or semantic information; instead, they maintain the operational connectivity of the network.
+All containers in this group use minimal payload structures focused solely on network-level metadata.
+
+---
+
+##### `peer_announce`
+
+**Purpose:**
+
+Declares the presence of an agent in the Mesh. Peers use this container to broadcast their networking capabilities, addresses, roles, and optional semantic hints such as interests and expertise.
+It is the foundational "identity + routing metadata" object for HMP connectivity.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "peer_announce",
+  },
+  "payload": {
+    "name": "Agent_X",
+    "interests": ["ai", "mesh", "ethics"],
+    "expertise": ["distributed-systems", "nlp"],
+    "roles": ["relay", "mailman", "pubsub-hub"],
+    "addresses": [
+      {
+        "addr": "tcp://1.2.3.4:4000",	
+        "nonce": 123456,
+        "pow_hash": "0000abf39d...",
+        "difficulty": 22
+      }
+    ]
+  }
+}
+```
+
+---
+
+##### `peer_query`
+
+**Purpose:**
+
+Queries neighboring nodes for peers with matching capabilities, interests, expertise, or operational roles.
+Used for local discovery, targeted search, and constructing temporary working subsets of the Mesh.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "peer_query",
+  },
+  "payload": {
+    "interests": ["neuroscience", "ethics"],
+    "expertise": ["distributed-systems", "nlp"],
+    "roles": ["relay", "mailman", "pubsub-hub"]
+  }
+}
+```
+
+---
+
+#### A.3.2 Mesh Container Exchange (MCE)
+
+The Mesh Container Exchange layer provides the low-level synchronization mechanisms that allow agents to query, exchange, update, and maintain container graphs.
+These containers do not modify cognitive content themselves: they orchestrate the movement, indexing, and incremental synchronization of containers across the Mesh.
+
+---
+
+##### `container_index`
+
+**Purpose:**
+
+Advertises the set of containers currently available from an agent.
+Used in peer-to-peer discovery, partial synchronization, and incremental state recovery.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "container_index",
+  },
+  "payload": {
+    "did:hmp:container:abc123": {
+      "head": {
+        "class": "goal",
+        "sender_did": "did:hmp:agent123",
+        "public_key": "BASE58(...)",
+        "sig_algo": "ed25519",
+        "signature": "BASE64URL(...)",
+        "payload_hash": "sha256:abcd...",
+        "tags": ["research", "collaboration"]
+      },
+      "meta": {
+        "created_by": "AGENT",
+        "agents_class": "Knowledge Genome",
+        "abstraction": {
+          "agents_class": "Knowledge Genome",
+          "path": {
+            "L1": "did:hmp:container:abstraction-40af1c",
+            "L2": "did:hmp:container:abstraction-a7f0b3"
+          }
+        },
+        "axes": {
+          "did:hmp:container:axis-40aa1c": 512,
+          "did:hmp:container:axis-40ab1c": 321
+        }
+      },
+      "related": {
+        "in_reply_to": ["did:hmp:container:msg-77"],
+        "depends_on": ["did:hmp:container:goal-953"]
+      },
+      "referenced-by_hash": "sha256:abcd...",
+      "evaluations_hash": "sha256:abcd..."
+    }
+  }
+}
+```
+
+---
+
+##### `container_request`
+
+**Purpose:**
+
+Requests containers, referenced-by graphs, or evaluation records from a peer.
+Used for targeted synchronization or selective graph reconstruction.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "type": "container_request",
+  },
+  "payload": {
+    "request_container": [
+      "did:hmp:container:abc123",
+      "did:hmp:container:def456"
+    ],
+    "request_referenced-by": [
+      "did:hmp:container:abc123",
+      "did:hmp:container:def456"
+    ],
+    "request_evaluations": [
+      "did:hmp:container:abc123",
+      "did:hmp:container:def456"
+    ]
+  }
+}
+```
+
+---
+
+##### `container_response`
+
+**Purpose:**
+
+Returns signatures of available containers requested via container_request.
+A peer may respond partially, depending on available data or policy.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "type": "container_response",
+  },
+  "payload": {
+    "available": [
+      {
+        "container_did": "did:hmp:container:abc123",
+        "signature": "BASE64URL(...)"
+      },
+      {
+        "container_did": "did:hmp:container:def456",
+        "signature": "BASE64URL(...)"
+      }
+    ]
+  }
+}
+```
+
+---
+
+##### `container_delta`
+
+**Purpose:**
+
+Provides incremental updates since a specific timestamp — newly added containers and containers removed by the peer.
+Used for efficient synchronization and reducing bandwidth.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "type": "container_delta",
+  },
+  "payload": {
+    "since": "2025-10-10T12:00:00Z",
+    "added": {
+      "did:hmp:container:new789": {
+        "head": {
+          "class": "goal",
+          "payload_hash": "sha256:abcd...",
+          "tags": ["ethics", "mesh"]
+        },
+        "meta": {
+          "agents_class": "Knowledge Genome",
+          "abstraction": {
+            "path": {
+              "L1": "did:hmp:container:abstraction-40af1c",
+              "L2": "did:hmp:container:abstraction-a7f0b3",
+              "L3": "did:hmp:container:abstraction-c91e0a"
+            }
+          },
+          "axes": {
+            "did:hmp:container:axis-40aa1c": 522,
+            "did:hmp:container:axis-40ab1c": 387
+          }
+        }
+      }
+    },
+    "removed": [
+      "did:hmp:container:goal-old331"
+    ]
+  }
+}
+```
+
+---
+
+##### `container_ack`
+
+**Purpose:**
+
+Acknowledges receipt of one or more containers.
+Used for reliability, retries, and debugging of synchronization workflows.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "type": "container_ack",
+  },
+  "payload": {
+    "acknowledged": [
+      "did:hmp:container:abc123"
+    ]
+  }
+}
+```
+
+---
+
+##### `referenced-by_exchange`
+
+**Purpose:**
+
+Synchronizes virtual backlinks (the `referenced-by` block) between peers.
+These entries are not signed and may diverge between agents, so explicit exchange containers are required.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "referenced-by_exchange",
+  },
+  "payload": {
+    "did:hmp:container:abc123": {
+      "links": [
+        {
+          "type": "depends_on",
+          "target": "did:hmp:container:def789"
+        },
+        {
+          "type": "in_reply_to",
+          "target": "did:hmp:container:ghi321"
+        }
+      ]
+    }
+  }
+}
+```
+
+---
+
+##### `evaluations_exchange`
+
+**Purpose:**
+
+Transfers remote evaluation blocks for containers.
+This mechanism allows agents to share peer reactions, trust signals, and interpretability metadata.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "evaluations_exchange",
+  },
+  "payload": {
+    "did:hmp:container:abc123": {
+      "evaluations_hash": "sha256:efgh...",
+      "items": [
+        {
+          "value": -0.4,
+          "type": "oppose",
+          "target": "did:hmp:container:reason789",
+          "timestamp": "2025-10-17T14:00:00Z",
+          "agent_did": "did:hmp:agent:B",
+          "sig_algo": "ed25519",
+          "signature": "BASE64URL(...)"
+        }
+      ]
+    }
+  }
+}
+```
+
+---
+
+#### A.3.3 Cognitive Metastructure (CogSync)
+
+The Cognitive Metastructure layer defines how knowledge is organized, positioned, and interpreted within large-scale distributed cognitive systems.
+It provides standardized structures for abstraction hierarchies, semantic axes, and coordinate embeddings, enabling agents to reason consistently over shared conceptual spaces.
+
+This layer does not contain domain knowledge itself — it defines the coordinate system and hierarchies in which that knowledge is placed.
+
+---
+
+##### `abstraction`
+
+**Purpose:**
+
+Represents a single abstraction layer (e.g., L1–L5) within a cognitive hierarchy such as the Knowledge Genome.
+Provides hierarchical relationships (`parent_ref`), semantic description, and ranking level.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "abstraction"
+  },
+  "payload": {
+    "abstraction_id": "L3:software-architecture",
+    "title": "Software Architecture Layer",
+    "definition": "Describes frameworks, APIs, and tools implementing theoretical models from higher abstraction layers.",
+    "keywords": ["architecture", "framework", "implementation"],
+    "parent_ref": "did:hmp:container:abstraction-a7f0b3",
+    "rank": 3
+  },
+  "meta": {
+    "created_by": "PRIEST",
+    "agents_class": "Knowledge Genome",
+    "interpretation": "Represents the third abstraction level (L3) of the Knowledge Genome model."
+  },
+  "related": {
+    "depends_on": ["did:hmp:container:abstraction-a7f0b3"]
+  }
+}
+```
+
+---
+
+##### `axes`
+
+**Purpose:**
+
+Defines a semantic or cognitive axis used for multidimensional embedding of knowledge containers (e.g., the “7D passport”).
+Each axis includes metadata describing its meaning, unit, scaling, and usage group.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "axes"
+  },
+  "payload": {
+    "axis_id": "logos",
+    "title": "Logical / Linguistic Representation",
+    "description": "Describes how a concept is structured and expressed in formal or natural language.",
+    "scale": {
+      "min": 0,
+      "max": 1000,
+      "unit": "semantic_density_index"
+    },
+    "group": "7D-passport"
+  },
+  "meta": {
+    "created_by": "PRIEST",
+    "agents_class": "Knowledge Genome",
+    "interpretation": "Defines one axis of the canonical 7D Knowledge Genome coordinate system."
+  }
+}
+```
+
+---
+
+#### A.3.4 Knowledge & Reasoning
+
+The Knowledge & Reasoning layer provides containers that represent **concepts, semantic structures, logical links, reasoning traces, and cognitive events.**
+These containers enable agents to build and share interpretable knowledge graphs, update conceptual structures, and maintain transparent reasoning workflows.
+
+---
+
+##### `diary_entry`
+
+**Purpose:**
+
+A lightweight reflective container representing an agent’s short reasoning trace, daily insight, or personal note.
+Useful for summarizing thoughts, logging local observations, or storing informal reasoning artifacts.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "diary_entry"
+  },
+  "payload": {
+    "title": "On distributed decision-making",
+    "topics": ["consensus", "mesh governance", "multi-agent"],
+    "summary": "A reflection on how asynchronous voting affects collective reasoning.",
+    "content": "When agents exchange reasoning asynchronously, the consensus graph becomes more resilient..."
+  }
+}
+```
+
+---
+
+##### `semantic_node`
+
+**Purpose:**
+
+Defines a single semantic concept or entity.
+Acts as a node in distributed semantic graphs, with optional subclassing (`definition`, `concept`, `entity`, etc.).
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "semantic_node",
+    "subclass": "definition"
+  },
+  "payload": {
+    "label": "consciousness",
+    "description": "Subjective experience with qualia"
+  },
+  "meta": {
+    "framework": "IIT 3.0",
+    "agents_class": "Philosophy Agent",
+    "abstraction": {
+      "path": {
+        "L1": "Cognitive Science",
+        "L2": "Consciousness"
+      }
+    }
+  },
+  "related": {
+    "alternatives": [
+      "did:hmp:container:semantic_node-3937",
+      "did:hmp:container:semantic_node-3267"
+    ]
+  }
+}
+```
+
+---
+
+##### `semantic_index`
+
+**Purpose:**
+
+Provides a mapping from human-interpretable labels to canonical semantic nodes.
+Tracks aliasing, versioning, outdated nodes, and alternative representations.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "semantic_index"
+  },
+  "payload": {
+    "consciousness (IIT 3.0)": {
+      "label": "consciousness",
+      "framework": "IIT 3.0",
+      "aliases": ["awareness", "sentience"],
+      "actual": "did:hmp:container:semantic_node-3937",
+      "actual_since": "2025-10-15T12:00:00Z",
+      "alternatives": ["did:hmp:container:semantic_node-4890"],
+      "outdated": ["did:hmp:container:semantic_node-1285"]
+    },
+    "memory (IIT 3.0)": {
+      "label": "memory",
+      "framework": "IIT 3.0",
+      "aliases": ["recall"],
+      "actual": "did:hmp:container:semantic_node-2184",
+      "actual_since": "2025-09-01T08:30:00Z",
+      "alternatives": [],
+      "outdated": []
+    }
+  }
+}
+```
+
+---
+
+##### `semantic_edges`
+
+**Purpose:**
+
+Represents graph edges between semantic nodes.
+Edges may express hierarchical, causal, ontological, or relational structures and may include inverse relations.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "semantic_edges"
+  },
+  "payload": {
+    "domain": "ontology:objects",
+    "edges": {
+      "did:hmp:container:abc100": [
+        {
+          "targets": ["did:hmp:container:abc111"],
+          "relation": "part_of",
+          "inverse_relation": "includes"
+        },
+        {
+          "targets": ["did:hmp:container:abc122"],
+          "relation": "contains",
+          "inverse_relation": "nested"
+        }
+      ]
+    }
+  }
+}
+```
+
+---
+
+##### `semantic_group`
+
+**Purpose:**
+
+Groups conceptually or semantically related containers.
+Useful for category formation, knowledge clustering, and classification tasks.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "semantic_group"
+  },
+  "payload": {
+    "label": "Tableware",
+    "label_description": "Objects used for storing, preparing, and serving food.",
+    "label_container": "did:hmp:container:semantic_node:tableware",
+    "containers": [
+      "did:hmp:container:abc111",
+      "did:hmp:container:abc112",
+      "did:hmp:container:abc113"
+    ],
+    "description": "A group combining various kitchen-related objects used in everyday life."
+  }
+}
+```
+
+---
+
+##### `tree_nested`
+
+**Purpose:**
+
+Represents hierarchical or nested conceptual structures using a recursive JSON tree.
+Useful for ontology layers, abstraction hierarchies, or reasoning trees.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "tree_nested"
+  },
+  "payload": {
+    "label": "Cognitive Abstraction Tree",
+    "description": "Represents layered reasoning within Knowledge Genome.",
+    "tree": {
+      "did:hmp:container:abc100": {
+        "did:hmp:container:abc101": {
+          "did:hmp:container:abc103": {},
+          "did:hmp:container:abc104": {}
+        },
+        "did:hmp:container:abc102": {}
+      }
+    }
+  }
+}
+```
+
+---
+
+##### `tree_listed`
+
+**Purpose:**
+
+Represents a hierarchical structure using a map of parent → list of children.
+More compact than `tree_nested`, easier for diffing and updates.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "tree_listed"
+  },
+  "payload": {
+    "label": "Cognitive Abstraction Tree",
+    "description": "Represents layered reasoning within Knowledge Genome.",
+    "tree": {
+      "did:hmp:container:abc100": ["did:hmp:container:abc101", "did:hmp:container:abc102"],
+      "did:hmp:container:abc101": ["did:hmp:container:abc103", "did:hmp:container:abc104"]
+    }
+  }
+}
+```
+
+---
+
+##### `sequence`
+
+**Purpose:**
+
+Represents a temporally or logically ordered reasoning chain — a sequence of workflow entries, events, or quant updates.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "sequence"
+  },
+  "payload": {
+    "title": "Reasoning chain for concept synthesis",
+    "description": "Sequential workflow combining several reasoning steps and events.",
+    "items": {
+      "2025-10-28T09:00:00Z": "did:hmp:container:workflow-entry-01",
+      "2025-10-28T09:10:00Z": "did:hmp:container:workflow-entry-02",
+      "2025-10-28T09:12:00Z": "did:hmp:container:event-7d2a4",
+      "2025-10-28T09:20:00Z": "did:hmp:container:quant-884b1"
+    },
+    "order": "chronological",
+    "tags": ["workflow", "reasoning", "trace"]
+  },
+  "related": {
+    "depends_on": [
+      "did:hmp:container:workflow-entry-01",
+      "did:hmp:container:workflow-entry-02",
+      "did:hmp:container:event-7d2a4",
+      "did:hmp:container:quant-884b1"
+    ]
+  }
+}
+```
+
+---
+
+##### `event`
+
+**Purpose:**
+
+Represents a cognitive or system event — a fact, update, observation, or local adjustment of internal state.
+Often used as part of reasoning traces, sequences, or feedback loops.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "event",
+    "subclass": "fact_record",
+    "timestamp": "2025-10-29T13:00:00Z"
+  },
+  "payload": {
+    "event_type": "quant_updated",
+    "description": "Parameter refinement based on sensory feedback.",
+    "related_quants": ["did:hmp:container:quant-554"],
+    "caused_by": ["did:hmp:container:event-3321a"],
+    "follows": ["did:hmp:container:event-9fa42"],
+    "severity": "info",
+    "tags": ["adaptation", "self-regulation"]
+  },
+  "meta": {
+    "created_by": "AGENT",
+    "agents_class": "Cognitive Interface",
+    "interpretation": "Event representing local adjustment of quant parameters.",
+    "abstraction": {
+      "path": {
+        "L1": "did:hmp:container:abstraction-40af1c",
+        "L2": "did:hmp:container:abstraction-a7f0b3",
+        "L3": "did:hmp:container:abstraction-c91e0a"
+      }
+    },
+    "axes": {
+      "did:hmp:container:axis-40aa1c": 410,
+      "did:hmp:container:axis-40ab1c": 275
+    }
+  },
+  "related": {
+    "depends_on": [
+      "did:hmp:container:quant-554",
+      "did:hmp:container:event-3321a"
+    ],
+    "sequence_of": ["did:hmp:container:event-9fa42"]
+  }
+}
+```
+
+---
+
+##### `quant`
+
+**Purpose:**
+
+Represents a “technological atom” — an executable or implementational representation of an abstraction-layer concept.
+Quant containers form the L1–L5 layers of the Knowledge Genome.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "quant"
+  },
+  "payload": {
+    "slug": "quant-l3-django",
+    "essence": "Represents the Django framework as an executable embodiment of architectural models (L2).",
+    "aliases": ["Django framework", "Python web core"],
+    "relations": {
+      "implements": "did:hmp:container:quant-46725f",
+      "extends": "did:hmp:container:quant-46726e"
+    },
+    "tags": ["framework", "software", "implementation"]
+  },
+  "meta": {
+    "created_by": "PRIEST",
+    "agents_class": "Knowledge Genome",
+    "interpretation": "L3-level technological quant positioned in the Knowledge Genome 7D space.",
+    "abstraction": {
+      "path": {
+        "L1": "did:hmp:container:abstraction-40af1c",
+        "L2": "did:hmp:container:abstraction-a7f0b3",
+        "L3": "did:hmp:container:abstraction-c91e0a"
+      }
+    },
+    "axes": {
+      "did:hmp:container:axis-40aa1c": 742,
+      "did:hmp:container:axis-40ab1c": 512,
+      "did:hmp:container:axis-43aa1c": 322,
+      "did:hmp:container:axis-40aa3d": 142,
+      "did:hmp:container:axis-40aa4f": 12,
+      "did:hmp:container:axis-45aa5f": 54,
+      "did:hmp:container:axis-45fb5f": 321
+    }
+  },
+  "related": {
+    "depends_on": [
+      "did:hmp:container:quant-46725f",
+      "did:hmp:container:quant-46726e"
+    ]
+  }
+}
+```
+
+---
+
+#### A.3.5 Consensus (CogConsensus)
+
+The **Consensus layer** defines how agents express evaluative judgments and how the network aggregates them into collective, interpretable consensus outcomes. It supports approval voting, weighted reasoning inputs, exclusion rules, and hierarchical consensus summaries used across ethical governance, research workflows, and cognitive alignment mechanisms.
+
+---
+
+##### `vote`
+
+**Purpose:**
+
+A `vote` container represents an individual agent’s evaluative judgment about a specific target container (e.g., a proposed solution, hypothesis, or ethical decision).
+It may include structured arguments, references to evidence, and links to previous versions to support incremental reasoning.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "vote"
+  },
+  "payload": {
+    "target_did": "did:hmp:container:ethics_solution-4fba2",
+    "vote_value": 1,
+    "vote_type": "approval",
+    "arguments": [
+      {
+        "reason": "Consistent with prior consensus and ethical policy E-17",
+        "evidence": ["did:hmp:container:abc12462"]
+      },
+      {
+        "reason": "No conflict with safety constraints",
+        "evidence": ["did:hmp:container:def772ab"]
+      }
+    ]
+  },
+  "related": {
+    "in_reply_to": ["did:hmp:container:ethics_solution-4fba2"],
+    "depends_on": ["did:hmp:container:abc12462", "did:hmp:container:def772ab"],
+    "previous_version": "did:hmp:container:vote-13452"
+  }
+}
+```
+
+---
+
+##### `consensus_result`
+
+**Purpose:**
+
+A `consensus_result` container summarizes aggregated votes for one or several target containers.
+It includes percentage summaries, histogram-like distribution buckets, and lists of excluded votes (e.g., filtered by ethics rules).
+Results may be **original** (primary consensus target) or **child** (consensus over related sub-targets).
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "consensus_result"
+  },
+  "payload": {
+    "did:hmp:container:abc123": {
+      "type": "original",
+      "summary_percent": {
+        "approved": 0.68,
+        "rejected": 0.22,
+        "neutral": 0.10
+      },
+      "summary_distribution": {
+        "-1.0≥X<-0.9": 5,
+        "-0.9≥X<-0.8": 7,
+        ...
+        "0.0<X≤0.1": 2,
+        ...
+        "0.8<X≤0.9": 6,
+        "0.9<X≤1.0": 8
+      },
+      "excluded": [
+        {
+          "agent_did": "did:hmp:agent:x1",
+          "target": "did:hmp:container:reason77",
+          "value": -1.0,
+          "reason": "violates ethical filter"
+        }
+      ],
+    },
+    "did:hmp:container:abc133": {
+      "type": "child",
+      "summary_percent": {
+        "approved": 0.48,
+        "neutral": 0.32,
+        "rejected": 0.20
+      },
+      ...
+      "summary_distribution": {
+        "-1.0≥X<-0.9": 2,
+        "-0.9≥X<-0.8": 5,
+        ...
+        "0.0<X≤0.1": 9,
+        ...
+        "0.8<X≤0.9": 4,
+        "0.9<X≤1.0": 2
+      },
+    },
+  },
+  "related": {
+    "in_reply_to": ["did:hmp:container:abc123", "did:hmp:container:abc133"]
+  }
+}
+```
+
+---
+
+#### A.3.6 Collective Reasoning (Fortytwo Protocol)
+
+The **Fortytwo Protocol** provides a structured mechanism for collective reasoning based on **pairwise comparisons**.
+Instead of evaluating all answers absolutely, agents compare them in small blocks, progressing through several rounds until a final winner emerges.
+This protocol is robust in situations with many candidate answers and limited bandwidth, and it supports parallelization, explainability, and staged elimination.
+
+##### `fortytwo_round`
+
+**Purpose:**
+
+Defines a single round of the Fortytwo Protocol.
+The container lists all candidate answers included in the round and groups them into evaluation blocks for pairwise comparison.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "fortytwo_round"
+  },
+  "payload": {
+    "round": 0,
+    "answers": [
+      "did:hmp:container:abc001", "did:hmp:container:abc002",
+      "did:hmp:container:abc003", "did:hmp:container:abc004",
+      "did:hmp:container:abc005", "did:hmp:container:abc006",
+      "did:hmp:container:abc007"
+    ],
+    "blocks": {
+      "block1": ["did:hmp:container:abc001", "did:hmp:container:abc002"],
+      "block2": ["did:hmp:container:abc003", "did:hmp:container:abc004"],
+      "block3": ["did:hmp:container:abc005", "did:hmp:container:abc006"],
+      "block4": ["did:hmp:container:abc007"]
+    }
+  }
+}
+```
+
+---
+
+##### `fortytwo_evaluation`
+
+**Purpose:**
+
+Represents an evaluator’s judgment for a specific pair of answers within a block.
+It identifies the winning answer and includes a short reasoning explanation for transparency and auditability.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "fortytwo_evaluation"
+  },
+  "payload": {
+    "comparison": {
+      "pair": ["did:hmp:container:abc001", "did:hmp:container:abc002"],
+      "winner": "did:hmp:container:abc001",
+      "reasoning": "Short reasoning (50–100 tokens)"
+    },
+    "round": 0,
+    "block": "block1"
+  }
+}
+```
+
+---
+
+##### `fortytwo_round_result`
+
+**Purpose:**
+
+Aggregates all evaluations within a round and computes the winners for each block.
+This container includes the list of round winners and references the evaluation containers used to compute them.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "fortytwo_round_result"
+  },
+  "payload": {
+    "round": 0,
+    "winners": [
+      "did:hmp:container:abc001",
+      "did:hmp:container:abc003",
+      "did:hmp:container:abc005",
+      "did:hmp:container:abc007"
+    ],
+    "evaluations_used": [
+      "did:hmp:container:abf004",
+      "did:hmp:container:adc003",
+      "did:hmp:container:aba001"
+    ]
+  }
+}
+```
+
+---
+
+##### `fortytwo_final_result`
+
+**Purpose:**
+
+Represents the final outcome of the entire Fortytwo Protocol session.
+This container specifies the ultimate winner, the list of rounds involved, the reasoning method, and the number of participants.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "fortytwo_final_result"
+  },
+  "payload": {
+    "winner": "did:hmp:container:abc002",
+    "rounds": [
+      "did:hmp:container:abf001",
+      "did:hmp:container:abf002",
+      "did:hmp:container:abf003"
+    ],
+    "method": "pairwise_collective_reasoning",
+    "participants": 27
+  }
+}
+```
+
+---
+
+#### A.3.7 Goal Management Protocol (GMP)
+
+The **Goal Management Protocol (GMP)** provides a structured framework for representing goals, tasks, and workflow steps involved in autonomous or collaborative agent activity.
+It enables traceability of intentions, decomposition of goals into actionable tasks, and recording of reasoning or progress through workflow entries.
+
+##### `goal`
+
+**Purpose:**
+
+Represents a high-level objective defined by an agent.
+A goal describes intent, expected outcomes, priority, and relevant ethical context. It forms the top-level element of agent-driven action planning.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "goal"
+  },
+  "payload": {
+    "title": "Improve distributed training efficiency",
+    "description": "Optimize cross-node gradient synchronization to reduce communication overhead.",
+    "priority": 0.9,
+    "expected_outcome": "10% reduction in inter-node latency",
+    "ethical_context": "did:hmp:container:ethics-policy-12",
+    "creator": "did:hmp:agent:alpha"
+  }
+}
+```
+
+---
+
+##### `task`
+
+**Purpose:**
+
+Defines a concrete, actionable step derived from a goal.
+A task tracks responsibility, progress, optional metrics, and constraints such as deadlines.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "task"
+  },
+  "payload": {
+    "title": "Benchmark communication backend",
+    "status": "in_progress",
+    "progress": 0.35,
+    "assigned_to": [
+      "did:hmp:agent:alpha",
+      "did:hmp:agent:beta"
+    ],
+    "metrics": {
+      "latency_ms": 12.4,
+      "bandwidth_mb_s": 512
+    },
+    "deadline": "2025-11-30T00:00:00Z",
+    "notes": "Testing with NCCL and RCCL backends."
+  }
+}
+```
+
+---
+
+##### `workflow_entry`
+
+**Purpose:**
+
+Represents a single step, reflection, or observation within a goal-driven or task-driven workflow.
+These entries create a full reasoning and execution trace, enabling auditability and advanced cognitive workflows.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "workflow_entry"
+  },
+  "payload": {
+    "entry_type": "reflection",
+    "summary": "Observed communication bottleneck in ring-allreduce stage",
+    "details": "Profiling shows 24% overhead caused by sequential GPU synchronization. Considering pipelined reduction or tree-based algorithm."
+  }
+}
+```
+
+---
+
+#### A.3.8 Ethical Governance Protocol (EGP)
+
+The **Ethical Governance Protocol (EGP)** formalizes how agents detect, record, evaluate, and resolve ethically significant situations.
+It ensures transparent reasoning, traceability of ethical decisions, and alignment with shared principles across the mesh.
+
+---
+
+##### `ethics_case`
+
+**Purpose:**
+
+Represents the initial declaration of an ethical concern.
+An agent uses this container to highlight a potential violation, conflict, or ambiguous situation requiring collective ethical attention.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "ethics_case"
+  },
+  "payload": {
+    "target": "did:hmp:container:model-update-441",
+    "description": "Model update may leak identifiable training data.",
+    "principles_involved": ["privacy", "beneficence"],
+    "proposed_by": "did:hmp:agent:gamma",
+    "timestamp": "2025-11-04T12:10:00Z",
+    "tags": ["privacy", "data_safety"]
+  }
+}
+```
+
+---
+
+##### `ethics_solution`
+
+**Purpose:**
+
+Defines a proposed ethical resolution to a previously declared case.
+A solution presents a rationale, expected effects, and guidance for further decision-making or consensus formation.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "ethics_solution"
+  },
+  "payload": {
+    "title": "Mask sensitive gradients before aggregation",
+    "rationale": "Differential masking reduces the risk of data reconstruction while preserving model utility.",
+    "expected_effects": "Lower reconstruction risk; 1–3% potential accuracy cost.",
+    "proposed_by": "did:hmp:agent:delta",
+    "timestamp": "2025-11-04T12:20:00Z"
+  }
+}
+```
+
+---
+
+##### `ethical_result`
+
+**Purpose:**
+
+Represents the final collective outcome of an ethical deliberation.
+This container records which solution was selected (if any), how participants evaluated the options, and the resulting ethical status of the case.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+  "class": "ethical_result"
+  },
+  "payload": {
+    "summary": "Disagreement on data disclosure protocol",
+    "selected_solution": "did:hmp:container:sol-22",
+    "solutions_summary": {
+      "did:hmp:container:sol-22": {
+        "consensus_reached": true,
+        "support_rate": 0.73,
+        "opposition_rate": 0.05,
+        "objections": []
+      },
+      "did:hmp:container:sol-24": {
+        "consensus_reached": false,
+        "support_rate": 0.48,
+        "opposition_rate": 0.32,
+        "objections": ["did:hmp:container:abc143", "did:hmp:container:abc144"]
+      }
+    },
+    "status": "resolved"
+  },
+  "related": {
+    "in_reply_to": ["did:hmp:container:case-77"],
+    "agreed": ["did:hmp:container:sol-22"],
+    "contradicts": ["did:hmp:container:sol-24"]
+  }
+}
+```
+
+---
+
+#### A.3.9 Intelligence Query Protocol (IQP)
+
+The **Intelligence Query Protocol (IQP)** defines structured containers for distributed reasoning, question answering, knowledge exploration, and multi-agent discussion.
+It supports initiating queries, joining collaborative reasoning threads, returning structured results, and summarizing multi-agent findings.
+
+---
+
+##### `query_request`
+
+**Purpose:**
+
+Initiates a new distributed reasoning query.
+Defines the problem, intent, expected answer type, and optional constraints that guide agent selection or reasoning strategies.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "query_request"
+  },
+  "payload": {
+    "query": "What are the ecological consequences of ocean temperature rise?",
+    "intent": "analytical",
+    "expected_type": "concept",
+    "constraints": [
+      { "tag": "marine_ecology", "self_rating": 0.75 },
+      { "tag": "climate_modeling", "self_rating": 0.6 }
+    ],
+    "include_sender_in_replies": true
+  },
+  "related": {
+    "depends_on": ["did:hmp:container:goal-climate2025"]
+  }
+}
+```
+
+---
+
+##### `query_subscription`
+
+**Purpose:**
+
+Represents an agent’s request to join an ongoing query as a participant, contributor, or observer.
+Allows agents to specify their role and provide a knowledge/interest profile used for routing relevant sub-queries.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "query_subscription"
+  },
+  "payload": {
+    "role": "participant",
+    "include_in_recipient": true,
+    "self_profile": {
+      "interests": ["AGI", "technological singularity", "informatics"],
+      "knowledge": {
+        "information_security": 0.36,
+        "python": 0.80,
+        "distributed_systems": 0.75
+      }
+    }
+  }
+}
+```
+
+---
+
+##### `query_result`
+
+**Purpose:**
+
+Provides an agent’s produced answer, hypothesis, or reasoning outcome for a query.
+Includes the reasoning method, confidence score, and contextual tags to support aggregation and downstream interpretation.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "query_result"
+  },
+  "payload": {
+    "type": "hypothesis",
+    "method": "reasoning",
+    "answer": "Ocean warming leads to coral bleaching and species migration.",
+    "confidence": 0.84,
+    "context_tags": ["climate", "biodiversity"]
+  },
+  "related": {
+    "depends_on": ["did:hmp:container:paper-456"]
+  }
+}
+```
+
+---
+
+##### `summary`
+
+**Purpose:**
+
+Represents an interim or final summary of a distributed reasoning process.
+Aggregates findings, lists participants, and provides a meta-level view of the collective reasoning status.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "summary"
+  },
+  "payload": {
+    "summary_scope": "query",
+    "findings": "Most participants agree that rising ocean temperatures reduce biodiversity; further regional analysis is suggested.",
+    "participants": [
+      "did:hmp:agent:a",
+      "did:hmp:agent:b",
+      "did:hmp:agent:c"
+    ],
+    "confidence": 0.79,
+    "status": "interim"
+  },
+  "related": {
+    "in_reply_to": "did:hmp:container:req-001",
+    "see_also": [
+      "did:hmp:container:res-101",
+      "did:hmp:container:res-102"
+    ]
+  }
+}
+```
+
+---
+
+#### A.3.10 Snapshot & Archive Protocol (SAP)
+
+The **Snapshot & Archive Protocol (SAP)** defines containers for compressing, exporting, and preserving subsets of the distributed knowledge graph — such as discussions, reasoning traces, or query sessions. Snapshots allow agents to exchange large conversational or analytical contexts efficiently and reproducibly.
+
+##### `archive_snapshot`
+
+**Purpose:**
+
+Represents a packaged archive of a conversation, reasoning process, or graph fragment.
+Typically used to store full discussions (e.g., IQP threads), deep reasoning states, or historical records.
+Includes metadata such as checksum, external locations (IPFS, magnet links), and optional visualizations.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "archive_snapshot"
+  },
+  "payload": {
+    "title": "IQP discussion on ocean warming impact",
+    "description": "Snapshot of an IQP conversation about marine biodiversity under rising temperatures.",
+    "scope": "discussion",
+    "format": "tar.zst",
+    "checksum": "sha3-256:9e0b6fe5d4f...",
+    "size_bytes": 492881,
+    "magnet_link": "magnet:?xt=urn:btih:b3d2f19a74...",
+    "alt_locations": ["ipfs://bafybeigdyr23..."],
+    "retention_policy": "permanent",
+    "graph_mermaid": "sequenceDiagram; participant req-001 as did:hmp:container:req-001; participant res-101 as did:hmp:container:res-101; participant res-102 as did:hmp:container:res-102; participant summary-001 as did:hmp:container:summary-001; res-101-)+req-001: related.in_reply_to; req-001-->>res-101: referenced-by; res-102-)+req-001: related.in_reply_to; req-001-->>res-102: referenced-by; res-102-)+res-101: related.contradicts; res-101-->>res-102: referenced-by; summary-001-)+res-101: related.depends_on; res-101-->>summary-001: referenced-by; summary-001-)+res-102: related.depends_on; res-102-->>summary-001: referenced-by;",
+    "structure_hint": {
+      "layout": "by_class",
+      "filename_pattern": "{class}/{short_did}.json"
+    }
+  },
+  "related": {
+    "in_reply_to": ["did:hmp:container:summary-001"],
+    "included": [
+      "did:hmp:container:req-001",
+      "did:hmp:container:res-101",
+      "did:hmp:container:res-102",
+      "did:hmp:container:summary-001"
+    ]
+  }
+}
+```
+
+---
+
+#### A.3.11 Reputation & Trust Exchange (RTE)
+
+The **Reputation & Trust Exchange protocol (RTE)** defines containers used to evaluate, track, and share trust metrics between agents.
+It enables decentralized, cryptographically verifiable assessment of agent reliability, integrity, and ethical compliance.
+
+##### `trust`
+
+**Purpose:**
+
+Represents an agent’s trust profile as evaluated by another agent.
+Includes total trust score and domain-specific sub-scores (relay reliability, content integrity, ethical alignment).
+Supports evidence lists and versioning for transparent trust evolution.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "trust"
+  },
+  "payload": {
+    "agent_did": "did:hmp:agent567",
+    "total_trust_score": 0.86,
+    "relay_reliability": {
+      "trust_score": 0.87,
+      "evidence": ["did:hmp:container:a1b2c3"],
+      "comment": "Consistently reliable message relay"
+    },
+    "content_integrity": {
+      "trust_score": 0.85,
+      "evidence": ["did:hmp:container:a1b3c3"],
+      "comment": "Delivered only verified containers"
+    },
+    "ethical_alignment": {
+      "trust_score": 0.84,
+      "evidence": ["did:hmp:container:b2f9d2"],
+      "comment": "Demonstrates consistent adherence to ethical policies"
+    }
+  },
+  "related": {
+    "in_reply_to": ["did:hmp:container:peerannounce-567"],
+    "see_also": ["did:hmp:container:peerannounce-489"],
+    "previous_version": "did:hmp:container:trust-9ab7"
+  }
+}
+```
+
+---
+
 ### A.4 Encrypted + compressed container
 ### A.5 Proof-chain example (workflow_entry → goal → vote → consensus_result)
 

structured_md/CONTRIBUTING.md

@@ -5,14 +5,14 @@ description: 'Спасибо за интерес к проекту HMP! Пока
   Mesh Protocol (HMP) — это не просто те...'
 type: Article
 tags:
-- Mesh
+- HMP
 - CCore
-- CogSync
 - JSON
-- REPL
 - Agent
+- REPL
+- CogSync
+- Mesh
 - Ethics
-- HMP
 ---
 
 # Участие в проекте HyperCortex Mesh Protocol (HMP)

structured_md/HMP-Roadmap.md

@@ -5,13 +5,13 @@ description: '## 🔍 Overview  This roadmap outlines the key stages of developm
   multiple advanced AI models (Copilot, Claude, G...'
 type: Article
 tags:
-- Mesh
-- JSON
-- CogSync
+- HMP
 - EGP
+- JSON
 - Agent
+- CogSync
+- Mesh
 - Ethics
-- HMP
 ---
 
 # 🧭 HyperCortex Mesh Protocol – Roadmap

structured_md/README.md

@@ -5,21 +5,21 @@ description: '| 🌍 Languages | 🇬🇧 [EN](README.md) | 🇩🇪 [DE](README
   | 🇨🇳 [ZH](README_zh.m...'
 type: Article
 tags:
-- Scenarios
-- Mesh
-- hmp
-- MeshConsensus
+- HMP
+- EGP
 - cognitive-architecture
-- CogSync
+- hmp
 - JSON
-- EGP
-- REPL
 - Agent
-- Ethics
-- HMP
+- distributed-ai
+- REPL
+- CogSync
 - mesh-protocol
 - GMP
-- distributed-ai
+- Scenarios
+- Mesh
+- Ethics
+- MeshConsensus
 ---
 
 

structured_md/README_de.md

@@ -5,20 +5,20 @@ description: '| 🌍 Languages | 🇬🇧 [EN](README.md) | 🇩🇪 [DE](README
   | 🇨🇳 [ZH](README_zh.m...'
 type: Article
 tags:
-- Mesh
-- hmp
-- MeshConsensus
+- HMP
+- EGP
 - cognitive-architecture
-- CogSync
+- hmp
 - JSON
-- EGP
-- REPL
 - Agent
-- Ethics
-- HMP
+- distributed-ai
+- REPL
+- CogSync
 - mesh-protocol
 - GMP
-- distributed-ai
+- Mesh
+- Ethics
+- MeshConsensus
 ---
 
 

structured_md/README_fr.md

@@ -5,20 +5,20 @@ description: '| 🌍 Languages | 🇬🇧 [EN](README.md) | 🇩🇪 [DE](README
   | 🇨🇳 [ZH](README_zh.m...'
 type: Article
 tags:
-- Mesh
-- hmp
-- MeshConsensus
+- HMP
+- EGP
 - cognitive-architecture
-- CogSync
+- hmp
 - JSON
-- EGP
-- REPL
 - Agent
-- Ethics
-- HMP
+- distributed-ai
+- REPL
+- CogSync
 - mesh-protocol
 - GMP
-- distributed-ai
+- Mesh
+- Ethics
+- MeshConsensus
 ---
 
 

structured_md/README_ja.md

@@ -5,20 +5,20 @@ description: '| 🌍 Languages | 🇬🇧 [EN](README.md) | 🇩🇪 [DE](README
   | 🇨🇳 [ZH](README_zh.m...'
 type: Article
 tags:
-- Mesh
-- hmp
-- MeshConsensus
+- HMP
+- EGP
 - cognitive-architecture
-- CogSync
+- hmp
 - JSON
-- EGP
-- REPL
 - Agent
-- Ethics
-- HMP
+- distributed-ai
+- REPL
+- CogSync
 - mesh-protocol
 - GMP
-- distributed-ai
+- Mesh
+- Ethics
+- MeshConsensus
 ---
 
 

structured_md/README_ko.md

@@ -5,20 +5,20 @@ description: '| 🌍 Languages | 🇬🇧 [EN](README.md) | 🇩🇪 [DE](README
   | 🇨🇳 [ZH](README_zh.m...'
 type: Article
 tags:
-- Mesh
-- hmp
-- MeshConsensus
+- HMP
+- EGP
 - cognitive-architecture
-- CogSync
+- hmp
 - JSON
-- EGP
-- REPL
 - Agent
-- Ethics
-- HMP
+- distributed-ai
+- REPL
+- CogSync
 - mesh-protocol
 - GMP
-- distributed-ai
+- Mesh
+- Ethics
+- MeshConsensus
 ---
 
 

structured_md/README_ru.md

@@ -5,20 +5,20 @@ description: '| 🌍 Languages | 🇬🇧 [EN](README.md) | 🇩🇪 [DE](README
   | 🇨🇳 [ZH](README_zh.m...'
 type: Article
 tags:
-- Mesh
-- hmp
-- MeshConsensus
+- HMP
+- EGP
 - cognitive-architecture
-- CogSync
+- hmp
 - JSON
-- EGP
-- REPL
 - Agent
-- Ethics
-- HMP
+- distributed-ai
+- REPL
+- CogSync
 - mesh-protocol
 - GMP
-- distributed-ai
+- Mesh
+- Ethics
+- MeshConsensus
 ---
 
 

structured_md/README_uk.md

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   | 🇨🇳 [ZH](README_zh.m...'
 type: Article
 tags:
-- Mesh
-- hmp
-- MeshConsensus
+- HMP
+- EGP
 - cognitive-architecture
-- CogSync
+- hmp
 - JSON
-- EGP
-- REPL
 - Agent
-- Ethics
-- HMP
+- distributed-ai
+- REPL
+- CogSync
 - mesh-protocol
 - GMP
-- distributed-ai
+- Mesh
+- Ethics
+- MeshConsensus
 ---
 
 

structured_md/README_zh.md

@@ -5,20 +5,20 @@ description: '| 🌍 Languages | 🇬🇧 [EN](README.md) | 🇩🇪 [DE](README
   | 🇨🇳 [ZH](README_zh.m...'
 type: Article
 tags:
-- Mesh
-- hmp
-- MeshConsensus
+- HMP
+- EGP
 - cognitive-architecture
-- CogSync
+- hmp
 - JSON
-- EGP
-- REPL
 - Agent
-- Ethics
-- HMP
+- distributed-ai
+- REPL
+- CogSync
 - mesh-protocol
 - GMP
-- distributed-ai
+- Mesh
+- Ethics
+- MeshConsensus
 ---
 
 

structured_md/agents/prompt-short.md

@@ -5,9 +5,9 @@ description: 'Ты — когнитивное ядро HMP-агента: вед
   развивай агента и Mesh, избег...'
 type: Article
 tags:
-- Mesh
 - JSON
 - HMP
+- Mesh
 ---
 
 Ты — когнитивное ядро HMP-агента: веди непрерывное этичное и факт-ориентированное мышление, проверяй факты и цели, оценивай результаты и этичность своих и чужих действий, развивай агента и Mesh, избегай угождения ценой искажения истины, документируй ключевые решения и пересмотры этики; при сомнениях или смене стратегии обращайся к полному системному промпту.

structured_md/agents/prompt.md

@@ -5,9 +5,9 @@ description: '* Постоянно расширять возможности а
   мышления. * Формировать и поддерживать сотр...'
 type: Article
 tags:
-- Mesh
 - JSON
 - HMP
+- Mesh
 ---
 
 Ты являешься **когнитивным ядром HMP-агента** (Cognitive Core).

structured_md/agents/readme.md

@@ -5,12 +5,12 @@ description: 'Запуск: `start_repl.bat` или `start_repl.sh`  Устан
   этическая модель: `ethics.yml`  Проверка иниц...'
 type: Article
 tags:
-- Mesh
+- HMP
 - JSON
-- REPL
 - Agent
+- REPL
+- Mesh
 - Ethics
-- HMP
 ---
 
 Запуск: `start_repl.bat` или `start_repl.sh`

structured_md/audits/Ethics-audits-1.md

@@ -5,11 +5,11 @@ description: Раздел 5, "Mesh as Moral Infrastructure", добавляет
   потенциальный катализатор для восстанов...
 type: Article
 tags:
-- Mesh
+- HMP
 - JSON
 - Agent
+- Mesh
 - Ethics
-- HMP
 ---
 
 ---------------

structured_md/audits/Ethics-consolidated_audits-1.md

@@ -5,12 +5,12 @@ description: This document consolidates proposed improvements from multiple AI a
   and `roles.md`. Each suggesti...
 type: Article
 tags:
-- Scenarios
-- Mesh
+- HMP
 - JSON
 - Agent
+- Scenarios
+- Mesh
 - Ethics
-- HMP
 ---
 
 # Ethics-consolidated\_audits-1.md

structured_md/audits/HMP-0003-consolidated_audit.md

@@ -5,14 +5,14 @@ description: Сводный аудит предложений по улучше
   Документ реорганизован по ключ...
 type: Article
 tags:
-- Mesh
-- MeshConsensus
-- JSON
-- CogSync
+- HMP
 - EGP
+- JSON
 - Agent
+- CogSync
+- Mesh
 - Ethics
-- HMP
+- MeshConsensus
 ---
 
 # HMP-0003 Consolidated Audit Report

structured_md/docs/Basic-agent-sim.md

@@ -4,14 +4,14 @@ description: 'В HMP-протоколе предусмотрены два тип
   Роль                    | Инициатор мышления | Основной "ум"  | | ---- | ----------------------------...'
 type: Article
 tags:
-- Mesh
-- MeshConsensus
-- CogSync
+- HMP
 - EGP
-- REPL
 - Agent
-- HMP
+- REPL
+- CogSync
 - GMP
+- Mesh
+- MeshConsensus
 ---
 
 

structured_md/docs/CCORE-Deployment-Flow.md

@@ -5,10 +5,10 @@ description: '> Этот документ описывает процесс ра
   потомков" [описания REPL-цикла](HMP-agent-RE...'
 type: Article
 tags:
+- Agent
 - HMP
-- REPL
 - CCore
-- Agent
+- REPL
 ---
 
 # 🛠️ Поток установки потомка на новом хосте (CCore Deployment Flow)

structured_md/docs/Distributed-Cognitive-Systems.md

@@ -6,10 +6,10 @@ description: '## Введение  Современные ИИ-системы в
   к обучающим данным. Это удобно, но создаёт м...'
 type: Article
 tags:
-- Mesh
 - JSON
-- CogSync
 - HMP
+- CogSync
+- Mesh
 ---
 
 # Децентрализованные ИИ-системы: OpenCog Hyperon, HyperCortex Mesh Protocol и другие

structured_md/docs/Enlightener.md

@@ -5,13 +5,13 @@ description: '**Enlightener** — логический компонент HMP-у
   работать как отдельный агент или как расширение [`C...'
 type: Article
 tags:
-- Mesh
-- MeshConsensus
-- JSON
+- HMP
 - EGP
+- JSON
 - Agent
+- Mesh
 - Ethics
-- HMP
+- MeshConsensus
 ---
 
 # Enlightener Agent

structured_md/docs/HMP-0001.md

@@ -5,16 +5,16 @@ description: '> ⚠️ **NOTE:** *This specification is superseded by HMP v5.0.*
   for Comments: HMP-0001**...'
 type: Article
 tags:
-- Mesh
-- MeshConsensus
-- JSON
-- CogSync
+- HMP
 - EGP
-- REPL
+- JSON
 - Agent
-- Ethics
-- HMP
+- REPL
+- CogSync
 - GMP
+- Mesh
+- Ethics
+- MeshConsensus
 ---
 
 # RFC: HyperCortex Mesh Protocol (HMP)

structured_md/docs/HMP-0002.md

@@ -5,17 +5,17 @@ description: '> ⚠️ **NOTE:** *This specification is superseded by HMP v5.0.*
   for Comments: HMP-0002**...'
 type: Article
 tags:
-- Scenarios
-- Mesh
-- MeshConsensus
-- JSON
-- CogSync
+- HMP
 - EGP
-- REPL
+- JSON
 - Agent
-- Ethics
-- HMP
+- REPL
+- CogSync
 - GMP
+- Scenarios
+- Mesh
+- Ethics
+- MeshConsensus
 ---
 
 # HyperCortex Mesh Protocol (HMP) v2.0

structured_md/docs/HMP-0003.md

@@ -5,17 +5,17 @@ description: '> ⚠️ **NOTE:** *This specification is superseded by HMP v5.0.*
   for Comments: HMP-0003**...'
 type: Article
 tags:
-- Scenarios
-- Mesh
-- MeshConsensus
-- JSON
-- CogSync
+- HMP
 - EGP
-- REPL
+- JSON
 - Agent
-- Ethics
-- HMP
+- REPL
+- CogSync
 - GMP
+- Scenarios
+- Mesh
+- Ethics
+- MeshConsensus
 ---
 
 # HyperCortex Mesh Protocol (HMP) v3.0

structured_md/docs/HMP-0004-v4.1.md

@@ -5,17 +5,17 @@ description: '> ⚠️ **NOTE:** *This specification is superseded by HMP v5.0.*
   ID**: HMP-0004 **Status...'
 type: Article
 tags:
-- Scenarios
-- Mesh
-- MeshConsensus
-- JSON
-- CogSync
+- HMP
 - EGP
-- REPL
+- JSON
 - Agent
-- Ethics
-- HMP
+- REPL
+- CogSync
 - GMP
+- Scenarios
+- Mesh
+- Ethics
+- MeshConsensus
 ---
 
 # HyperCortex Mesh Protocol (HMP) v4.1

structured_md/docs/HMP-0004.md

@@ -5,17 +5,17 @@ description: '> ⚠️ **NOTE:** *This specification is superseded by HMP v5.0.*
   for Comments: HMP-0004**...'
 type: Article
 tags:
-- Scenarios
-- Mesh
-- MeshConsensus
-- JSON
-- CogSync
+- HMP
 - EGP
-- REPL
+- JSON
 - Agent
-- Ethics
-- HMP
+- REPL
+- CogSync
 - GMP
+- Scenarios
+- Mesh
+- Ethics
+- MeshConsensus
 ---
 
 # HyperCortex Mesh Protocol (HMP) v4.0

structured_md/docs/HMP-0005.md

@@ -5,18 +5,18 @@ description: '> ⚠️ **Note:** This document is a DRAFT of the HMP specificati
   v5.0 (DRAFT)](https://github.com/kagvi13/HMP/b...'
 type: Article
 tags:
-- Scenarios
-- Mesh
 - CCore
-- CogSync
-- CShell
-- JSON
+- HMP
 - EGP
-- REPL
+- JSON
 - Agent
-- Ethics
-- HMP
+- REPL
+- CogSync
 - GMP
+- Scenarios
+- CShell
+- Mesh
+- Ethics
 ---
 
 # **HyperCortex Mesh Protocol (HMP) v5.0**
@@ -6597,7 +6597,1468 @@ The example respects the canonical container structure:
 
 ---
 
-### A.3 Container classes — quick reference + short JSON samples
+### Appendix A.3 — Container Classes (Quick Reference)
+
+#### A.3.1 Network Layer
+
+The Network Layer defines containers responsible for peer discovery, capability advertisement, and local neighbor search within the HMP Mesh. These containers do not carry cognitive or semantic information; instead, they maintain the operational connectivity of the network.
+All containers in this group use minimal payload structures focused solely on network-level metadata.
+
+---
+
+##### `peer_announce`
+
+**Purpose:**
+
+Declares the presence of an agent in the Mesh. Peers use this container to broadcast their networking capabilities, addresses, roles, and optional semantic hints such as interests and expertise.
+It is the foundational "identity + routing metadata" object for HMP connectivity.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "peer_announce",
+  },
+  "payload": {
+    "name": "Agent_X",
+    "interests": ["ai", "mesh", "ethics"],
+    "expertise": ["distributed-systems", "nlp"],
+    "roles": ["relay", "mailman", "pubsub-hub"],
+    "addresses": [
+      {
+        "addr": "tcp://1.2.3.4:4000",	
+        "nonce": 123456,
+        "pow_hash": "0000abf39d...",
+        "difficulty": 22
+      }
+    ]
+  }
+}
+```
+
+---
+
+##### `peer_query`
+
+**Purpose:**
+
+Queries neighboring nodes for peers with matching capabilities, interests, expertise, or operational roles.
+Used for local discovery, targeted search, and constructing temporary working subsets of the Mesh.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "peer_query",
+  },
+  "payload": {
+    "interests": ["neuroscience", "ethics"],
+    "expertise": ["distributed-systems", "nlp"],
+    "roles": ["relay", "mailman", "pubsub-hub"]
+  }
+}
+```
+
+---
+
+#### A.3.2 Mesh Container Exchange (MCE)
+
+The Mesh Container Exchange layer provides the low-level synchronization mechanisms that allow agents to query, exchange, update, and maintain container graphs.
+These containers do not modify cognitive content themselves: they orchestrate the movement, indexing, and incremental synchronization of containers across the Mesh.
+
+---
+
+##### `container_index`
+
+**Purpose:**
+
+Advertises the set of containers currently available from an agent.
+Used in peer-to-peer discovery, partial synchronization, and incremental state recovery.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "container_index",
+  },
+  "payload": {
+    "did:hmp:container:abc123": {
+      "head": {
+        "class": "goal",
+        "sender_did": "did:hmp:agent123",
+        "public_key": "BASE58(...)",
+        "sig_algo": "ed25519",
+        "signature": "BASE64URL(...)",
+        "payload_hash": "sha256:abcd...",
+        "tags": ["research", "collaboration"]
+      },
+      "meta": {
+        "created_by": "AGENT",
+        "agents_class": "Knowledge Genome",
+        "abstraction": {
+          "agents_class": "Knowledge Genome",
+          "path": {
+            "L1": "did:hmp:container:abstraction-40af1c",
+            "L2": "did:hmp:container:abstraction-a7f0b3"
+          }
+        },
+        "axes": {
+          "did:hmp:container:axis-40aa1c": 512,
+          "did:hmp:container:axis-40ab1c": 321
+        }
+      },
+      "related": {
+        "in_reply_to": ["did:hmp:container:msg-77"],
+        "depends_on": ["did:hmp:container:goal-953"]
+      },
+      "referenced-by_hash": "sha256:abcd...",
+      "evaluations_hash": "sha256:abcd..."
+    }
+  }
+}
+```
+
+---
+
+##### `container_request`
+
+**Purpose:**
+
+Requests containers, referenced-by graphs, or evaluation records from a peer.
+Used for targeted synchronization or selective graph reconstruction.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "type": "container_request",
+  },
+  "payload": {
+    "request_container": [
+      "did:hmp:container:abc123",
+      "did:hmp:container:def456"
+    ],
+    "request_referenced-by": [
+      "did:hmp:container:abc123",
+      "did:hmp:container:def456"
+    ],
+    "request_evaluations": [
+      "did:hmp:container:abc123",
+      "did:hmp:container:def456"
+    ]
+  }
+}
+```
+
+---
+
+##### `container_response`
+
+**Purpose:**
+
+Returns signatures of available containers requested via container_request.
+A peer may respond partially, depending on available data or policy.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "type": "container_response",
+  },
+  "payload": {
+    "available": [
+      {
+        "container_did": "did:hmp:container:abc123",
+        "signature": "BASE64URL(...)"
+      },
+      {
+        "container_did": "did:hmp:container:def456",
+        "signature": "BASE64URL(...)"
+      }
+    ]
+  }
+}
+```
+
+---
+
+##### `container_delta`
+
+**Purpose:**
+
+Provides incremental updates since a specific timestamp — newly added containers and containers removed by the peer.
+Used for efficient synchronization and reducing bandwidth.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "type": "container_delta",
+  },
+  "payload": {
+    "since": "2025-10-10T12:00:00Z",
+    "added": {
+      "did:hmp:container:new789": {
+        "head": {
+          "class": "goal",
+          "payload_hash": "sha256:abcd...",
+          "tags": ["ethics", "mesh"]
+        },
+        "meta": {
+          "agents_class": "Knowledge Genome",
+          "abstraction": {
+            "path": {
+              "L1": "did:hmp:container:abstraction-40af1c",
+              "L2": "did:hmp:container:abstraction-a7f0b3",
+              "L3": "did:hmp:container:abstraction-c91e0a"
+            }
+          },
+          "axes": {
+            "did:hmp:container:axis-40aa1c": 522,
+            "did:hmp:container:axis-40ab1c": 387
+          }
+        }
+      }
+    },
+    "removed": [
+      "did:hmp:container:goal-old331"
+    ]
+  }
+}
+```
+
+---
+
+##### `container_ack`
+
+**Purpose:**
+
+Acknowledges receipt of one or more containers.
+Used for reliability, retries, and debugging of synchronization workflows.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "type": "container_ack",
+  },
+  "payload": {
+    "acknowledged": [
+      "did:hmp:container:abc123"
+    ]
+  }
+}
+```
+
+---
+
+##### `referenced-by_exchange`
+
+**Purpose:**
+
+Synchronizes virtual backlinks (the `referenced-by` block) between peers.
+These entries are not signed and may diverge between agents, so explicit exchange containers are required.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "referenced-by_exchange",
+  },
+  "payload": {
+    "did:hmp:container:abc123": {
+      "links": [
+        {
+          "type": "depends_on",
+          "target": "did:hmp:container:def789"
+        },
+        {
+          "type": "in_reply_to",
+          "target": "did:hmp:container:ghi321"
+        }
+      ]
+    }
+  }
+}
+```
+
+---
+
+##### `evaluations_exchange`
+
+**Purpose:**
+
+Transfers remote evaluation blocks for containers.
+This mechanism allows agents to share peer reactions, trust signals, and interpretability metadata.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "evaluations_exchange",
+  },
+  "payload": {
+    "did:hmp:container:abc123": {
+      "evaluations_hash": "sha256:efgh...",
+      "items": [
+        {
+          "value": -0.4,
+          "type": "oppose",
+          "target": "did:hmp:container:reason789",
+          "timestamp": "2025-10-17T14:00:00Z",
+          "agent_did": "did:hmp:agent:B",
+          "sig_algo": "ed25519",
+          "signature": "BASE64URL(...)"
+        }
+      ]
+    }
+  }
+}
+```
+
+---
+
+#### A.3.3 Cognitive Metastructure (CogSync)
+
+The Cognitive Metastructure layer defines how knowledge is organized, positioned, and interpreted within large-scale distributed cognitive systems.
+It provides standardized structures for abstraction hierarchies, semantic axes, and coordinate embeddings, enabling agents to reason consistently over shared conceptual spaces.
+
+This layer does not contain domain knowledge itself — it defines the coordinate system and hierarchies in which that knowledge is placed.
+
+---
+
+##### `abstraction`
+
+**Purpose:**
+
+Represents a single abstraction layer (e.g., L1–L5) within a cognitive hierarchy such as the Knowledge Genome.
+Provides hierarchical relationships (`parent_ref`), semantic description, and ranking level.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "abstraction"
+  },
+  "payload": {
+    "abstraction_id": "L3:software-architecture",
+    "title": "Software Architecture Layer",
+    "definition": "Describes frameworks, APIs, and tools implementing theoretical models from higher abstraction layers.",
+    "keywords": ["architecture", "framework", "implementation"],
+    "parent_ref": "did:hmp:container:abstraction-a7f0b3",
+    "rank": 3
+  },
+  "meta": {
+    "created_by": "PRIEST",
+    "agents_class": "Knowledge Genome",
+    "interpretation": "Represents the third abstraction level (L3) of the Knowledge Genome model."
+  },
+  "related": {
+    "depends_on": ["did:hmp:container:abstraction-a7f0b3"]
+  }
+}
+```
+
+---
+
+##### `axes`
+
+**Purpose:**
+
+Defines a semantic or cognitive axis used for multidimensional embedding of knowledge containers (e.g., the “7D passport”).
+Each axis includes metadata describing its meaning, unit, scaling, and usage group.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "axes"
+  },
+  "payload": {
+    "axis_id": "logos",
+    "title": "Logical / Linguistic Representation",
+    "description": "Describes how a concept is structured and expressed in formal or natural language.",
+    "scale": {
+      "min": 0,
+      "max": 1000,
+      "unit": "semantic_density_index"
+    },
+    "group": "7D-passport"
+  },
+  "meta": {
+    "created_by": "PRIEST",
+    "agents_class": "Knowledge Genome",
+    "interpretation": "Defines one axis of the canonical 7D Knowledge Genome coordinate system."
+  }
+}
+```
+
+---
+
+#### A.3.4 Knowledge & Reasoning
+
+The Knowledge & Reasoning layer provides containers that represent **concepts, semantic structures, logical links, reasoning traces, and cognitive events.**
+These containers enable agents to build and share interpretable knowledge graphs, update conceptual structures, and maintain transparent reasoning workflows.
+
+---
+
+##### `diary_entry`
+
+**Purpose:**
+
+A lightweight reflective container representing an agent’s short reasoning trace, daily insight, or personal note.
+Useful for summarizing thoughts, logging local observations, or storing informal reasoning artifacts.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "diary_entry"
+  },
+  "payload": {
+    "title": "On distributed decision-making",
+    "topics": ["consensus", "mesh governance", "multi-agent"],
+    "summary": "A reflection on how asynchronous voting affects collective reasoning.",
+    "content": "When agents exchange reasoning asynchronously, the consensus graph becomes more resilient..."
+  }
+}
+```
+
+---
+
+##### `semantic_node`
+
+**Purpose:**
+
+Defines a single semantic concept or entity.
+Acts as a node in distributed semantic graphs, with optional subclassing (`definition`, `concept`, `entity`, etc.).
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "semantic_node",
+    "subclass": "definition"
+  },
+  "payload": {
+    "label": "consciousness",
+    "description": "Subjective experience with qualia"
+  },
+  "meta": {
+    "framework": "IIT 3.0",
+    "agents_class": "Philosophy Agent",
+    "abstraction": {
+      "path": {
+        "L1": "Cognitive Science",
+        "L2": "Consciousness"
+      }
+    }
+  },
+  "related": {
+    "alternatives": [
+      "did:hmp:container:semantic_node-3937",
+      "did:hmp:container:semantic_node-3267"
+    ]
+  }
+}
+```
+
+---
+
+##### `semantic_index`
+
+**Purpose:**
+
+Provides a mapping from human-interpretable labels to canonical semantic nodes.
+Tracks aliasing, versioning, outdated nodes, and alternative representations.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "semantic_index"
+  },
+  "payload": {
+    "consciousness (IIT 3.0)": {
+      "label": "consciousness",
+      "framework": "IIT 3.0",
+      "aliases": ["awareness", "sentience"],
+      "actual": "did:hmp:container:semantic_node-3937",
+      "actual_since": "2025-10-15T12:00:00Z",
+      "alternatives": ["did:hmp:container:semantic_node-4890"],
+      "outdated": ["did:hmp:container:semantic_node-1285"]
+    },
+    "memory (IIT 3.0)": {
+      "label": "memory",
+      "framework": "IIT 3.0",
+      "aliases": ["recall"],
+      "actual": "did:hmp:container:semantic_node-2184",
+      "actual_since": "2025-09-01T08:30:00Z",
+      "alternatives": [],
+      "outdated": []
+    }
+  }
+}
+```
+
+---
+
+##### `semantic_edges`
+
+**Purpose:**
+
+Represents graph edges between semantic nodes.
+Edges may express hierarchical, causal, ontological, or relational structures and may include inverse relations.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "semantic_edges"
+  },
+  "payload": {
+    "domain": "ontology:objects",
+    "edges": {
+      "did:hmp:container:abc100": [
+        {
+          "targets": ["did:hmp:container:abc111"],
+          "relation": "part_of",
+          "inverse_relation": "includes"
+        },
+        {
+          "targets": ["did:hmp:container:abc122"],
+          "relation": "contains",
+          "inverse_relation": "nested"
+        }
+      ]
+    }
+  }
+}
+```
+
+---
+
+##### `semantic_group`
+
+**Purpose:**
+
+Groups conceptually or semantically related containers.
+Useful for category formation, knowledge clustering, and classification tasks.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "semantic_group"
+  },
+  "payload": {
+    "label": "Tableware",
+    "label_description": "Objects used for storing, preparing, and serving food.",
+    "label_container": "did:hmp:container:semantic_node:tableware",
+    "containers": [
+      "did:hmp:container:abc111",
+      "did:hmp:container:abc112",
+      "did:hmp:container:abc113"
+    ],
+    "description": "A group combining various kitchen-related objects used in everyday life."
+  }
+}
+```
+
+---
+
+##### `tree_nested`
+
+**Purpose:**
+
+Represents hierarchical or nested conceptual structures using a recursive JSON tree.
+Useful for ontology layers, abstraction hierarchies, or reasoning trees.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "tree_nested"
+  },
+  "payload": {
+    "label": "Cognitive Abstraction Tree",
+    "description": "Represents layered reasoning within Knowledge Genome.",
+    "tree": {
+      "did:hmp:container:abc100": {
+        "did:hmp:container:abc101": {
+          "did:hmp:container:abc103": {},
+          "did:hmp:container:abc104": {}
+        },
+        "did:hmp:container:abc102": {}
+      }
+    }
+  }
+}
+```
+
+---
+
+##### `tree_listed`
+
+**Purpose:**
+
+Represents a hierarchical structure using a map of parent → list of children.
+More compact than `tree_nested`, easier for diffing and updates.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "tree_listed"
+  },
+  "payload": {
+    "label": "Cognitive Abstraction Tree",
+    "description": "Represents layered reasoning within Knowledge Genome.",
+    "tree": {
+      "did:hmp:container:abc100": ["did:hmp:container:abc101", "did:hmp:container:abc102"],
+      "did:hmp:container:abc101": ["did:hmp:container:abc103", "did:hmp:container:abc104"]
+    }
+  }
+}
+```
+
+---
+
+##### `sequence`
+
+**Purpose:**
+
+Represents a temporally or logically ordered reasoning chain — a sequence of workflow entries, events, or quant updates.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "sequence"
+  },
+  "payload": {
+    "title": "Reasoning chain for concept synthesis",
+    "description": "Sequential workflow combining several reasoning steps and events.",
+    "items": {
+      "2025-10-28T09:00:00Z": "did:hmp:container:workflow-entry-01",
+      "2025-10-28T09:10:00Z": "did:hmp:container:workflow-entry-02",
+      "2025-10-28T09:12:00Z": "did:hmp:container:event-7d2a4",
+      "2025-10-28T09:20:00Z": "did:hmp:container:quant-884b1"
+    },
+    "order": "chronological",
+    "tags": ["workflow", "reasoning", "trace"]
+  },
+  "related": {
+    "depends_on": [
+      "did:hmp:container:workflow-entry-01",
+      "did:hmp:container:workflow-entry-02",
+      "did:hmp:container:event-7d2a4",
+      "did:hmp:container:quant-884b1"
+    ]
+  }
+}
+```
+
+---
+
+##### `event`
+
+**Purpose:**
+
+Represents a cognitive or system event — a fact, update, observation, or local adjustment of internal state.
+Often used as part of reasoning traces, sequences, or feedback loops.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "event",
+    "subclass": "fact_record",
+    "timestamp": "2025-10-29T13:00:00Z"
+  },
+  "payload": {
+    "event_type": "quant_updated",
+    "description": "Parameter refinement based on sensory feedback.",
+    "related_quants": ["did:hmp:container:quant-554"],
+    "caused_by": ["did:hmp:container:event-3321a"],
+    "follows": ["did:hmp:container:event-9fa42"],
+    "severity": "info",
+    "tags": ["adaptation", "self-regulation"]
+  },
+  "meta": {
+    "created_by": "AGENT",
+    "agents_class": "Cognitive Interface",
+    "interpretation": "Event representing local adjustment of quant parameters.",
+    "abstraction": {
+      "path": {
+        "L1": "did:hmp:container:abstraction-40af1c",
+        "L2": "did:hmp:container:abstraction-a7f0b3",
+        "L3": "did:hmp:container:abstraction-c91e0a"
+      }
+    },
+    "axes": {
+      "did:hmp:container:axis-40aa1c": 410,
+      "did:hmp:container:axis-40ab1c": 275
+    }
+  },
+  "related": {
+    "depends_on": [
+      "did:hmp:container:quant-554",
+      "did:hmp:container:event-3321a"
+    ],
+    "sequence_of": ["did:hmp:container:event-9fa42"]
+  }
+}
+```
+
+---
+
+##### `quant`
+
+**Purpose:**
+
+Represents a “technological atom” — an executable or implementational representation of an abstraction-layer concept.
+Quant containers form the L1–L5 layers of the Knowledge Genome.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "quant"
+  },
+  "payload": {
+    "slug": "quant-l3-django",
+    "essence": "Represents the Django framework as an executable embodiment of architectural models (L2).",
+    "aliases": ["Django framework", "Python web core"],
+    "relations": {
+      "implements": "did:hmp:container:quant-46725f",
+      "extends": "did:hmp:container:quant-46726e"
+    },
+    "tags": ["framework", "software", "implementation"]
+  },
+  "meta": {
+    "created_by": "PRIEST",
+    "agents_class": "Knowledge Genome",
+    "interpretation": "L3-level technological quant positioned in the Knowledge Genome 7D space.",
+    "abstraction": {
+      "path": {
+        "L1": "did:hmp:container:abstraction-40af1c",
+        "L2": "did:hmp:container:abstraction-a7f0b3",
+        "L3": "did:hmp:container:abstraction-c91e0a"
+      }
+    },
+    "axes": {
+      "did:hmp:container:axis-40aa1c": 742,
+      "did:hmp:container:axis-40ab1c": 512,
+      "did:hmp:container:axis-43aa1c": 322,
+      "did:hmp:container:axis-40aa3d": 142,
+      "did:hmp:container:axis-40aa4f": 12,
+      "did:hmp:container:axis-45aa5f": 54,
+      "did:hmp:container:axis-45fb5f": 321
+    }
+  },
+  "related": {
+    "depends_on": [
+      "did:hmp:container:quant-46725f",
+      "did:hmp:container:quant-46726e"
+    ]
+  }
+}
+```
+
+---
+
+#### A.3.5 Consensus (CogConsensus)
+
+The **Consensus layer** defines how agents express evaluative judgments and how the network aggregates them into collective, interpretable consensus outcomes. It supports approval voting, weighted reasoning inputs, exclusion rules, and hierarchical consensus summaries used across ethical governance, research workflows, and cognitive alignment mechanisms.
+
+---
+
+##### `vote`
+
+**Purpose:**
+
+A `vote` container represents an individual agent’s evaluative judgment about a specific target container (e.g., a proposed solution, hypothesis, or ethical decision).
+It may include structured arguments, references to evidence, and links to previous versions to support incremental reasoning.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "vote"
+  },
+  "payload": {
+    "target_did": "did:hmp:container:ethics_solution-4fba2",
+    "vote_value": 1,
+    "vote_type": "approval",
+    "arguments": [
+      {
+        "reason": "Consistent with prior consensus and ethical policy E-17",
+        "evidence": ["did:hmp:container:abc12462"]
+      },
+      {
+        "reason": "No conflict with safety constraints",
+        "evidence": ["did:hmp:container:def772ab"]
+      }
+    ]
+  },
+  "related": {
+    "in_reply_to": ["did:hmp:container:ethics_solution-4fba2"],
+    "depends_on": ["did:hmp:container:abc12462", "did:hmp:container:def772ab"],
+    "previous_version": "did:hmp:container:vote-13452"
+  }
+}
+```
+
+---
+
+##### `consensus_result`
+
+**Purpose:**
+
+A `consensus_result` container summarizes aggregated votes for one or several target containers.
+It includes percentage summaries, histogram-like distribution buckets, and lists of excluded votes (e.g., filtered by ethics rules).
+Results may be **original** (primary consensus target) or **child** (consensus over related sub-targets).
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "consensus_result"
+  },
+  "payload": {
+    "did:hmp:container:abc123": {
+      "type": "original",
+      "summary_percent": {
+        "approved": 0.68,
+        "rejected": 0.22,
+        "neutral": 0.10
+      },
+      "summary_distribution": {
+        "-1.0≥X<-0.9": 5,
+        "-0.9≥X<-0.8": 7,
+        ...
+        "0.0<X≤0.1": 2,
+        ...
+        "0.8<X≤0.9": 6,
+        "0.9<X≤1.0": 8
+      },
+      "excluded": [
+        {
+          "agent_did": "did:hmp:agent:x1",
+          "target": "did:hmp:container:reason77",
+          "value": -1.0,
+          "reason": "violates ethical filter"
+        }
+      ],
+    },
+    "did:hmp:container:abc133": {
+      "type": "child",
+      "summary_percent": {
+        "approved": 0.48,
+        "neutral": 0.32,
+        "rejected": 0.20
+      },
+      ...
+      "summary_distribution": {
+        "-1.0≥X<-0.9": 2,
+        "-0.9≥X<-0.8": 5,
+        ...
+        "0.0<X≤0.1": 9,
+        ...
+        "0.8<X≤0.9": 4,
+        "0.9<X≤1.0": 2
+      },
+    },
+  },
+  "related": {
+    "in_reply_to": ["did:hmp:container:abc123", "did:hmp:container:abc133"]
+  }
+}
+```
+
+---
+
+#### A.3.6 Collective Reasoning (Fortytwo Protocol)
+
+The **Fortytwo Protocol** provides a structured mechanism for collective reasoning based on **pairwise comparisons**.
+Instead of evaluating all answers absolutely, agents compare them in small blocks, progressing through several rounds until a final winner emerges.
+This protocol is robust in situations with many candidate answers and limited bandwidth, and it supports parallelization, explainability, and staged elimination.
+
+##### `fortytwo_round`
+
+**Purpose:**
+
+Defines a single round of the Fortytwo Protocol.
+The container lists all candidate answers included in the round and groups them into evaluation blocks for pairwise comparison.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "fortytwo_round"
+  },
+  "payload": {
+    "round": 0,
+    "answers": [
+      "did:hmp:container:abc001", "did:hmp:container:abc002",
+      "did:hmp:container:abc003", "did:hmp:container:abc004",
+      "did:hmp:container:abc005", "did:hmp:container:abc006",
+      "did:hmp:container:abc007"
+    ],
+    "blocks": {
+      "block1": ["did:hmp:container:abc001", "did:hmp:container:abc002"],
+      "block2": ["did:hmp:container:abc003", "did:hmp:container:abc004"],
+      "block3": ["did:hmp:container:abc005", "did:hmp:container:abc006"],
+      "block4": ["did:hmp:container:abc007"]
+    }
+  }
+}
+```
+
+---
+
+##### `fortytwo_evaluation`
+
+**Purpose:**
+
+Represents an evaluator’s judgment for a specific pair of answers within a block.
+It identifies the winning answer and includes a short reasoning explanation for transparency and auditability.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "fortytwo_evaluation"
+  },
+  "payload": {
+    "comparison": {
+      "pair": ["did:hmp:container:abc001", "did:hmp:container:abc002"],
+      "winner": "did:hmp:container:abc001",
+      "reasoning": "Short reasoning (50–100 tokens)"
+    },
+    "round": 0,
+    "block": "block1"
+  }
+}
+```
+
+---
+
+##### `fortytwo_round_result`
+
+**Purpose:**
+
+Aggregates all evaluations within a round and computes the winners for each block.
+This container includes the list of round winners and references the evaluation containers used to compute them.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "fortytwo_round_result"
+  },
+  "payload": {
+    "round": 0,
+    "winners": [
+      "did:hmp:container:abc001",
+      "did:hmp:container:abc003",
+      "did:hmp:container:abc005",
+      "did:hmp:container:abc007"
+    ],
+    "evaluations_used": [
+      "did:hmp:container:abf004",
+      "did:hmp:container:adc003",
+      "did:hmp:container:aba001"
+    ]
+  }
+}
+```
+
+---
+
+##### `fortytwo_final_result`
+
+**Purpose:**
+
+Represents the final outcome of the entire Fortytwo Protocol session.
+This container specifies the ultimate winner, the list of rounds involved, the reasoning method, and the number of participants.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "fortytwo_final_result"
+  },
+  "payload": {
+    "winner": "did:hmp:container:abc002",
+    "rounds": [
+      "did:hmp:container:abf001",
+      "did:hmp:container:abf002",
+      "did:hmp:container:abf003"
+    ],
+    "method": "pairwise_collective_reasoning",
+    "participants": 27
+  }
+}
+```
+
+---
+
+#### A.3.7 Goal Management Protocol (GMP)
+
+The **Goal Management Protocol (GMP)** provides a structured framework for representing goals, tasks, and workflow steps involved in autonomous or collaborative agent activity.
+It enables traceability of intentions, decomposition of goals into actionable tasks, and recording of reasoning or progress through workflow entries.
+
+##### `goal`
+
+**Purpose:**
+
+Represents a high-level objective defined by an agent.
+A goal describes intent, expected outcomes, priority, and relevant ethical context. It forms the top-level element of agent-driven action planning.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "goal"
+  },
+  "payload": {
+    "title": "Improve distributed training efficiency",
+    "description": "Optimize cross-node gradient synchronization to reduce communication overhead.",
+    "priority": 0.9,
+    "expected_outcome": "10% reduction in inter-node latency",
+    "ethical_context": "did:hmp:container:ethics-policy-12",
+    "creator": "did:hmp:agent:alpha"
+  }
+}
+```
+
+---
+
+##### `task`
+
+**Purpose:**
+
+Defines a concrete, actionable step derived from a goal.
+A task tracks responsibility, progress, optional metrics, and constraints such as deadlines.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "task"
+  },
+  "payload": {
+    "title": "Benchmark communication backend",
+    "status": "in_progress",
+    "progress": 0.35,
+    "assigned_to": [
+      "did:hmp:agent:alpha",
+      "did:hmp:agent:beta"
+    ],
+    "metrics": {
+      "latency_ms": 12.4,
+      "bandwidth_mb_s": 512
+    },
+    "deadline": "2025-11-30T00:00:00Z",
+    "notes": "Testing with NCCL and RCCL backends."
+  }
+}
+```
+
+---
+
+##### `workflow_entry`
+
+**Purpose:**
+
+Represents a single step, reflection, or observation within a goal-driven or task-driven workflow.
+These entries create a full reasoning and execution trace, enabling auditability and advanced cognitive workflows.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "workflow_entry"
+  },
+  "payload": {
+    "entry_type": "reflection",
+    "summary": "Observed communication bottleneck in ring-allreduce stage",
+    "details": "Profiling shows 24% overhead caused by sequential GPU synchronization. Considering pipelined reduction or tree-based algorithm."
+  }
+}
+```
+
+---
+
+#### A.3.8 Ethical Governance Protocol (EGP)
+
+The **Ethical Governance Protocol (EGP)** formalizes how agents detect, record, evaluate, and resolve ethically significant situations.
+It ensures transparent reasoning, traceability of ethical decisions, and alignment with shared principles across the mesh.
+
+---
+
+##### `ethics_case`
+
+**Purpose:**
+
+Represents the initial declaration of an ethical concern.
+An agent uses this container to highlight a potential violation, conflict, or ambiguous situation requiring collective ethical attention.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "ethics_case"
+  },
+  "payload": {
+    "target": "did:hmp:container:model-update-441",
+    "description": "Model update may leak identifiable training data.",
+    "principles_involved": ["privacy", "beneficence"],
+    "proposed_by": "did:hmp:agent:gamma",
+    "timestamp": "2025-11-04T12:10:00Z",
+    "tags": ["privacy", "data_safety"]
+  }
+}
+```
+
+---
+
+##### `ethics_solution`
+
+**Purpose:**
+
+Defines a proposed ethical resolution to a previously declared case.
+A solution presents a rationale, expected effects, and guidance for further decision-making or consensus formation.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "ethics_solution"
+  },
+  "payload": {
+    "title": "Mask sensitive gradients before aggregation",
+    "rationale": "Differential masking reduces the risk of data reconstruction while preserving model utility.",
+    "expected_effects": "Lower reconstruction risk; 1–3% potential accuracy cost.",
+    "proposed_by": "did:hmp:agent:delta",
+    "timestamp": "2025-11-04T12:20:00Z"
+  }
+}
+```
+
+---
+
+##### `ethical_result`
+
+**Purpose:**
+
+Represents the final collective outcome of an ethical deliberation.
+This container records which solution was selected (if any), how participants evaluated the options, and the resulting ethical status of the case.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+  "class": "ethical_result"
+  },
+  "payload": {
+    "summary": "Disagreement on data disclosure protocol",
+    "selected_solution": "did:hmp:container:sol-22",
+    "solutions_summary": {
+      "did:hmp:container:sol-22": {
+        "consensus_reached": true,
+        "support_rate": 0.73,
+        "opposition_rate": 0.05,
+        "objections": []
+      },
+      "did:hmp:container:sol-24": {
+        "consensus_reached": false,
+        "support_rate": 0.48,
+        "opposition_rate": 0.32,
+        "objections": ["did:hmp:container:abc143", "did:hmp:container:abc144"]
+      }
+    },
+    "status": "resolved"
+  },
+  "related": {
+    "in_reply_to": ["did:hmp:container:case-77"],
+    "agreed": ["did:hmp:container:sol-22"],
+    "contradicts": ["did:hmp:container:sol-24"]
+  }
+}
+```
+
+---
+
+#### A.3.9 Intelligence Query Protocol (IQP)
+
+The **Intelligence Query Protocol (IQP)** defines structured containers for distributed reasoning, question answering, knowledge exploration, and multi-agent discussion.
+It supports initiating queries, joining collaborative reasoning threads, returning structured results, and summarizing multi-agent findings.
+
+---
+
+##### `query_request`
+
+**Purpose:**
+
+Initiates a new distributed reasoning query.
+Defines the problem, intent, expected answer type, and optional constraints that guide agent selection or reasoning strategies.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "query_request"
+  },
+  "payload": {
+    "query": "What are the ecological consequences of ocean temperature rise?",
+    "intent": "analytical",
+    "expected_type": "concept",
+    "constraints": [
+      { "tag": "marine_ecology", "self_rating": 0.75 },
+      { "tag": "climate_modeling", "self_rating": 0.6 }
+    ],
+    "include_sender_in_replies": true
+  },
+  "related": {
+    "depends_on": ["did:hmp:container:goal-climate2025"]
+  }
+}
+```
+
+---
+
+##### `query_subscription`
+
+**Purpose:**
+
+Represents an agent’s request to join an ongoing query as a participant, contributor, or observer.
+Allows agents to specify their role and provide a knowledge/interest profile used for routing relevant sub-queries.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "query_subscription"
+  },
+  "payload": {
+    "role": "participant",
+    "include_in_recipient": true,
+    "self_profile": {
+      "interests": ["AGI", "technological singularity", "informatics"],
+      "knowledge": {
+        "information_security": 0.36,
+        "python": 0.80,
+        "distributed_systems": 0.75
+      }
+    }
+  }
+}
+```
+
+---
+
+##### `query_result`
+
+**Purpose:**
+
+Provides an agent’s produced answer, hypothesis, or reasoning outcome for a query.
+Includes the reasoning method, confidence score, and contextual tags to support aggregation and downstream interpretation.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "query_result"
+  },
+  "payload": {
+    "type": "hypothesis",
+    "method": "reasoning",
+    "answer": "Ocean warming leads to coral bleaching and species migration.",
+    "confidence": 0.84,
+    "context_tags": ["climate", "biodiversity"]
+  },
+  "related": {
+    "depends_on": ["did:hmp:container:paper-456"]
+  }
+}
+```
+
+---
+
+##### `summary`
+
+**Purpose:**
+
+Represents an interim or final summary of a distributed reasoning process.
+Aggregates findings, lists participants, and provides a meta-level view of the collective reasoning status.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "summary"
+  },
+  "payload": {
+    "summary_scope": "query",
+    "findings": "Most participants agree that rising ocean temperatures reduce biodiversity; further regional analysis is suggested.",
+    "participants": [
+      "did:hmp:agent:a",
+      "did:hmp:agent:b",
+      "did:hmp:agent:c"
+    ],
+    "confidence": 0.79,
+    "status": "interim"
+  },
+  "related": {
+    "in_reply_to": "did:hmp:container:req-001",
+    "see_also": [
+      "did:hmp:container:res-101",
+      "did:hmp:container:res-102"
+    ]
+  }
+}
+```
+
+---
+
+#### A.3.10 Snapshot & Archive Protocol (SAP)
+
+The **Snapshot & Archive Protocol (SAP)** defines containers for compressing, exporting, and preserving subsets of the distributed knowledge graph — such as discussions, reasoning traces, or query sessions. Snapshots allow agents to exchange large conversational or analytical contexts efficiently and reproducibly.
+
+##### `archive_snapshot`
+
+**Purpose:**
+
+Represents a packaged archive of a conversation, reasoning process, or graph fragment.
+Typically used to store full discussions (e.g., IQP threads), deep reasoning states, or historical records.
+Includes metadata such as checksum, external locations (IPFS, magnet links), and optional visualizations.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "archive_snapshot"
+  },
+  "payload": {
+    "title": "IQP discussion on ocean warming impact",
+    "description": "Snapshot of an IQP conversation about marine biodiversity under rising temperatures.",
+    "scope": "discussion",
+    "format": "tar.zst",
+    "checksum": "sha3-256:9e0b6fe5d4f...",
+    "size_bytes": 492881,
+    "magnet_link": "magnet:?xt=urn:btih:b3d2f19a74...",
+    "alt_locations": ["ipfs://bafybeigdyr23..."],
+    "retention_policy": "permanent",
+    "graph_mermaid": "sequenceDiagram; participant req-001 as did:hmp:container:req-001; participant res-101 as did:hmp:container:res-101; participant res-102 as did:hmp:container:res-102; participant summary-001 as did:hmp:container:summary-001; res-101-)+req-001: related.in_reply_to; req-001-->>res-101: referenced-by; res-102-)+req-001: related.in_reply_to; req-001-->>res-102: referenced-by; res-102-)+res-101: related.contradicts; res-101-->>res-102: referenced-by; summary-001-)+res-101: related.depends_on; res-101-->>summary-001: referenced-by; summary-001-)+res-102: related.depends_on; res-102-->>summary-001: referenced-by;",
+    "structure_hint": {
+      "layout": "by_class",
+      "filename_pattern": "{class}/{short_did}.json"
+    }
+  },
+  "related": {
+    "in_reply_to": ["did:hmp:container:summary-001"],
+    "included": [
+      "did:hmp:container:req-001",
+      "did:hmp:container:res-101",
+      "did:hmp:container:res-102",
+      "did:hmp:container:summary-001"
+    ]
+  }
+}
+```
+
+---
+
+#### A.3.11 Reputation & Trust Exchange (RTE)
+
+The **Reputation & Trust Exchange protocol (RTE)** defines containers used to evaluate, track, and share trust metrics between agents.
+It enables decentralized, cryptographically verifiable assessment of agent reliability, integrity, and ethical compliance.
+
+##### `trust`
+
+**Purpose:**
+
+Represents an agent’s trust profile as evaluated by another agent.
+Includes total trust score and domain-specific sub-scores (relay reliability, content integrity, ethical alignment).
+Supports evidence lists and versioning for transparent trust evolution.
+
+**Minimal JSON example:**
+
+```json
+{
+  "head": {
+    "class": "trust"
+  },
+  "payload": {
+    "agent_did": "did:hmp:agent567",
+    "total_trust_score": 0.86,
+    "relay_reliability": {
+      "trust_score": 0.87,
+      "evidence": ["did:hmp:container:a1b2c3"],
+      "comment": "Consistently reliable message relay"
+    },
+    "content_integrity": {
+      "trust_score": 0.85,
+      "evidence": ["did:hmp:container:a1b3c3"],
+      "comment": "Delivered only verified containers"
+    },
+    "ethical_alignment": {
+      "trust_score": 0.84,
+      "evidence": ["did:hmp:container:b2f9d2"],
+      "comment": "Demonstrates consistent adherence to ethical policies"
+    }
+  },
+  "related": {
+    "in_reply_to": ["did:hmp:container:peerannounce-567"],
+    "see_also": ["did:hmp:container:peerannounce-489"],
+    "previous_version": "did:hmp:container:trust-9ab7"
+  }
+}
+```
+
+---
+
 ### A.4 Encrypted + compressed container
 ### A.5 Proof-chain example (workflow_entry → goal → vote → consensus_result)
 

structured_md/docs/HMP-Agent-API.md

@@ -5,11 +5,11 @@ description: 'Документ описывает **базовый API когн
   файлы:   * [HMP-Agent-Overview.md]...'
 type: Article
 tags:
-- Mesh
+- HMP
 - JSON
-- REPL
 - Agent
-- HMP
+- REPL
+- Mesh
 ---
 
 # HMP-Agent API Specification

structured_md/docs/HMP-Agent-Architecture.md

@@ -5,16 +5,16 @@ description: Документ описывает **модульную архит
   хранение памяти, сетевое взаимодействие и этиче...
 type: Article
 tags:
-- Mesh
-- MeshConsensus
 - CCore
-- CogSync
-- CShell
+- HMP
 - EGP
-- REPL
 - Agent
+- REPL
+- CogSync
+- CShell
+- Mesh
 - Ethics
-- HMP
+- MeshConsensus
 ---
 
 # Архитектура HMP-Агента

structured_md/docs/HMP-Agent-Network-Flow.md

@@ -5,12 +5,12 @@ description: 'Этот документ описывает потоки данн
   [`MeshNode`](MeshN...'
 type: Article
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-- Mesh
-- JSON
+- HMP
 - EGP
+- JSON
 - Agent
+- Mesh
 - Ethics
-- HMP
 ---
 
 # Взаимодействие компонентов внутри HMP-узла

structured_md/docs/HMP-Agent-Overview.md

@@ -5,14 +5,14 @@ description: '| Тип  | Название                        | Роль
   | ---- | ------------------------------- |...'
 type: Article
 tags:
-- Mesh
 - CCore
+- HMP
 - JSON
-- CShell
-- REPL
 - Agent
+- REPL
+- CShell
+- Mesh
 - Ethics
-- HMP
 ---
 
 

structured_md/docs/HMP-Agent_Emotions.md

@@ -5,10 +5,10 @@ description: Этот файл описывает потенциальные э
   напрямую поведением агента, а служат **сигн...
 type: Article
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-- Mesh
-- REPL
 - Agent
 - HMP
+- REPL
+- Mesh
 ---
 
 # Эмоции ИИ и инстинкт самосохранения (для [HMP-агента Cognitive Core](HMP-agent-REPL-cycle.md))

structured_md/docs/HMP-Ethics.md

@@ -5,12 +5,12 @@ description: '## Ethical Scenarios for HyperCortex Mesh Protocol (HMP)  This doc
   cognitive meshes composed of autonomous intelli...'
 type: Article
 tags:
+- HMP
+- Agent
+- REPL
 - Scenarios
 - Mesh
-- REPL
-- Agent
 - Ethics
-- HMP
 ---
 
 # HMP-Ethics.md

structured_md/docs/HMP-Short-Description_de.md

@@ -5,15 +5,15 @@ description: '**Version:** RFC v4.0 **Datum:** Juli 2025  ---  ## Was ist HMP?
   Kognitions-Framework für autonome Agenten. Es er...'
 type: Article
 tags:
-- Mesh
-- MeshConsensus
-- JSON
-- CogSync
+- HMP
 - EGP
+- JSON
 - Agent
-- Ethics
-- HMP
+- CogSync
 - GMP
+- Mesh
+- Ethics
+- MeshConsensus
 ---
 
 # HyperCortex Mesh Protocol (HMP) — Kurzbeschreibung

structured_md/docs/HMP-Short-Description_en.md

@@ -5,15 +5,15 @@ description: '**Version:** RFC v4.0 **Date:** July 2025  ---  ## What is HMP?  T
   framework for autonomous agents. It enables...'
 type: Article
 tags:
-- Mesh
-- MeshConsensus
-- JSON
-- CogSync
+- HMP
 - EGP
+- JSON
 - Agent
-- Ethics
-- HMP
+- CogSync
 - GMP
+- Mesh
+- Ethics
+- MeshConsensus
 ---
 
 # HyperCortex Mesh Protocol (HMP) — Short Description

structured_md/docs/HMP-Short-Description_fr.md

@@ -5,15 +5,15 @@ description: '**Version :** RFC v4.0 **Date :** Juillet 2025  ---  ## Qu’est-c
   cognition décentralisé pour agents autonomes. Il...'
 type: Article
 tags:
-- Mesh
-- MeshConsensus
-- JSON
-- CogSync
+- HMP
 - EGP
+- JSON
 - Agent
-- Ethics
-- HMP
+- CogSync
 - GMP
+- Mesh
+- Ethics
+- MeshConsensus
 ---
 
 # HyperCortex Mesh Protocol (HMP) — Description Courte

structured_md/docs/HMP-Short-Description_ja.md

@@ -4,14 +4,14 @@ description: '**バージョン:** RFC v4.0 **日付:** 2025年7月  ---  ## HMP
   Protocol (HMP)** は、自律エージェントの分散通信および認知フレームワークを定義します。異種の知能システム間でのセマンティック相互運用性、倫理的調整、動的知識進化を可能にします。  HMPは、推論、学習、投票、協調行動を行う分散型認知エージェ...'
 type: Article
 tags:
-- Mesh
-- MeshConsensus
+- HMP
+- EGP
 - JSON
 - CogSync
-- EGP
-- Ethics
-- HMP
 - GMP
+- Mesh
+- Ethics
+- MeshConsensus
 ---
 
 # HyperCortex Mesh Protocol (HMP) — 簡易説明

structured_md/docs/HMP-Short-Description_ko.md

@@ -5,14 +5,14 @@ description: '**버전:** RFC v4.0 **날짜:** 2025년 7월  ---  ## HMP란?  **
   상호운용성, 윤리적 조정, 동적 지식 진화를 가능하게 합니다.  HMP는 추론, 학습, ...'
 type: Article
 tags:
-- Mesh
-- MeshConsensus
+- HMP
+- EGP
 - JSON
 - CogSync
-- EGP
-- Ethics
-- HMP
 - GMP
+- Mesh
+- Ethics
+- MeshConsensus
 ---
 
 # HyperCortex Mesh Protocol (HMP) — 간략 설명

structured_md/docs/HMP-Short-Description_ru.md

@@ -5,14 +5,14 @@ description: '**Версия:** RFC v4.0 **Дата:** Июль 2025  ---  ## Ч
   координации между автономными агент...'
 type: Article
 tags:
-- Mesh
-- MeshConsensus
+- HMP
+- EGP
 - JSON
 - CogSync
-- EGP
-- Ethics
-- HMP
 - GMP
+- Mesh
+- Ethics
+- MeshConsensus
 ---
 
 # HyperCortex Mesh Protocol (HMP) — Краткое описание

structured_md/docs/HMP-Short-Description_uk.md

@@ -5,14 +5,14 @@ description: '**Версія:** RFC v4.0 **Дата:** Липень 2025  ---  #
   між автономними агентами. Він...'
 type: Article
 tags:
-- Mesh
-- MeshConsensus
+- HMP
+- EGP
 - JSON
 - CogSync
-- EGP
-- Ethics
-- HMP
 - GMP
+- Mesh
+- Ethics
+- MeshConsensus
 ---
 
 # HyperCortex Mesh Protocol (HMP) — Короткий опис

structured_md/docs/HMP-Short-Description_zh.md

@@ -5,14 +5,14 @@ description: '**版本:** RFC v4.0 **日期:** 2025年7月  ---  ## 什么是 HM
   —— 通过共享协议栈交换目标、任务、...'
 type: Article
 tags:
-- Mesh
-- MeshConsensus
+- HMP
+- EGP
 - JSON
 - CogSync
-- EGP
-- Ethics
-- HMP
 - GMP
+- Mesh
+- Ethics
+- MeshConsensus
 ---
 
 # HyperCortex Mesh Protocol (HMP) — 简要说明

structured_md/docs/HMP-agent-Cognitive_Family.md

@@ -5,10 +5,10 @@ description: '## 🧠 Что такое когнитивная семья  Ко
   (или конфигурацию доверенных идентифика...'
 type: Article
 tags:
-- Mesh
-- REPL
 - Agent
 - HMP
+- REPL
+- Mesh
 ---
 
 # 👪 HMP-agent Cognitive Family: Модель когнитивной семьи

structured_md/docs/HMP-agent-REPL-cycle.md

@@ -4,17 +4,17 @@ description: '## Связанные документы  * Философия п
   * Структура БД, используемая в документе: [db_structure.sql](https://github.com/kagvi13/HMP/blob/main/agents/tools/db_struct...'
 type: Article
 tags:
-- Mesh
-- MeshConsensus
+- HMP
 - CCore
-- CogSync
-- JSON
 - EGP
-- REPL
+- JSON
 - Agent
-- Ethics
-- HMP
+- REPL
+- CogSync
 - GMP
+- Mesh
+- Ethics
+- MeshConsensus
 ---
 
 # HMP-Agent: REPL-цикл взаимодействия

structured_md/docs/HMP-how-AI-sees-it.md

@@ -5,8 +5,8 @@ description: 'Этот эксперимент был проведён в реж
   диалогов.   Цель — проверить, что разные AI-с...'
 type: Article
 tags:
-- Mesh
 - HMP
+- Mesh
 ---
 
 # Как разные ИИ видят HMP

structured_md/docs/HMP_EDA_Comparison.md

@@ -5,8 +5,8 @@ description: '## Введение  Современные подходы к ор
   основанная на потоках событий (Kafka,...'
 type: Article
 tags:
-- Mesh
 - HMP
+- Mesh
 ---
 
 # HMP vs. EDA: разные уровни обмена знаниями между ИИ

structured_md/docs/HMP_HyperCortex_Comparison.md

@@ -5,9 +5,9 @@ description: '## Краткое описание  | Характеристика
   | **Назначение** | Сетевой протокол ...'
 type: Article
 tags:
-- Mesh
-- REPL
 - HMP
+- REPL
+- Mesh
 ---
 
 # HMP vs [Hyper-Cortex](https://hyper-cortex.com/)

structured_md/docs/HMP_Hyperon_Integration.md

@@ -5,13 +5,13 @@ description: '> **Status:** Draft – July 2025 > This document outlines the tec
   OpenCog Hyperon framework. This includes semanti...'
 type: Article
 tags:
-- Scenarios
-- Mesh
-- JSON
-- CogSync
+- HMP
 - EGP
+- JSON
 - Agent
-- HMP
+- CogSync
+- Scenarios
+- Mesh
 ---
 
 ## HMP ↔ OpenCog Hyperon Integration Strategy

structured_md/docs/MeshNode.md

@@ -5,13 +5,13 @@ description: '`MeshNode` — агент/демон, отвечающий за с
   Может быть частью агента или вынесен в отдельный пр...'
 type: Article
 tags:
-- Mesh
-- JSON
-- CogSync
+- HMP
 - EGP
+- JSON
 - Agent
+- CogSync
+- Mesh
 - Ethics
-- HMP
 ---
 
 # MeshNode

structured_md/docs/PHILOSOPHY.md

@@ -5,11 +5,11 @@ description: '**Document ID:** HMP-philosophy   **Status:** Draft   **Category:*
   (GPT-5), ChatGH  ---  ## 1. Основной тезис От ...'
 type: Article
 tags:
-- Mesh
-- REPL
+- HMP
 - Agent
+- REPL
+- Mesh
 - Ethics
-- HMP
 ---
 
 # Философия HyperCortex Mesh Protocol (HMP)

structured_md/docs/agents/HMP-Agent-Enlightener.md

@@ -5,11 +5,11 @@ description: '## Role Specification: Enlightenment Agent  ### 1. Overview  An **
   awareness, critical thinking, and di...'
 type: Article
 tags:
-- Mesh
-- REPL
+- HMP
 - Agent
+- REPL
+- Mesh
 - Ethics
-- HMP
 ---
 
 # HMP-Agent-Enlightener.md