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description= HyperCortex Mesh Protocol (HMP): decentralized cognitive mesh for AI agents - kagvi13/HMP;
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e ai agent ecosystem the robustness of a decentralized agent ecosystem increases not when one protocol dominates but when agents support multiple interaction mechanisms decentralized agent interaction is not defined by a single protocol stack but by a diversity of interoperable mechanisms the following categories illustrate common interaction mechanisms in emerging decentralized ai ecosystems mechanism purpose example protocols frameworks role in ecosystem decentralized identity discovery find and authenticate agents anp didcomm libp2p dht hmp who is out there direct p2p exchange secure peer to peer communication anp libp2p didcomm direct coordination relay broadcast networks event dissemination rapid signaling nostr matrix collective reaction meta negotiation protocols negotiation of interaction modes agora protocol protocol coordination task oriented agent exchange delegation and structured task negotiation a2a work distribution agent tool data integration structured interaction with tools and data mcp environment coupling blockchain registries persistent public records staking fetch ai bittensor autonolas economic coordination cognitive continuity layer memory meaning preservation long term alignment hmp thought persistence reference implementations and specifications anp didcomm libp2p nostr matrix agora protocol a2a mcp fetch ai bittensor autonolas hmp does not assume that one universal protocol will dominate decentralized ai interaction instead it embraces protocol pluralism multiple identity systems may coexist multiple transport layers may operate simultaneously multiple negotiation frameworks may be supported multiple economic models may evolve the more mechanisms an agent supports the more reliably it can connect with heterogeneous peers agents that implement multiple mechanisms can act as bridges between protocol domains increasing resilience and reducing fragmentation of the decentralized ai landscape canonical architecture overview flowchart tb agent implementations subgraph a1 hmp agent cognitive core cc1 embedded ai model cc2 repl thinking cycle cc3 local cognitive state diaries graphs goals reputation cc1 cc2 cc2 cc3 end subgraph a2 hmp agent cognitive connector cn1 external ai model cn2 mcp proxy layer cn3 command execution mode cn4 local cognitive state diaries graphs goals reputation cn1 cn2 cn2 cn3 cn3 cn4 end shared protocol layer cl hmp container layer knowledge coordination consensus governance query snapshot trust mt mesh transport layer dht p2p libp2p anp custom a1 cl a2 cl cl mt loading reference agent structure hmp separates cognitive processing containerized state representation coordination protocols and transport infrastructure into distinct layers in hmp containers act as the atomic cognitive units bridging local reasoning and distributed coordination flowchart lr cognitive engine llm cognitive engine embedded llm external ai cognitive layer subgraph cognitivelayer cognitive layer cl1 graph cl2 diary cl3 goals cl4 ethics cl5 reputation end container model containerslayer container model atomic signed verifiable protocol layer subgraph protocollayer protocol layer coreprotocols core protocols consensus fortytwo gmp egp iqp sap rte mce mce networklayer network layer end mesh mesh mesh transport dht p2p anp etc connections llm cognitivelayer cognitivelayer containerslayer containerslayer coreprotocols coreprotocols mce mce networklayer networklayer mesh loading why this matters hmp addresses challenges that are becoming central in agi research long term memory and knowledge consistency self evolving agents multi agent architectures cognitive diaries and conceptual graphs see the latest review of state of the art agi research july 2025 on the path to superintelligence from agentic internet to gravity encoding particularly relevant sections beyond tokens building the intelligence of the future self evolving agents memos a new operating system for memory ella an embodied agent with memory and personality ️ two types of hmp agents type name role thought initiator main mind example use cases 1 consciousness cognitive core independent subject agent llm embedded llm autonomous ai companion thinking agent 2 connector cognitive shell extension of external ai external llm external model distributed systems data access agent hmp agent cognitive core ai embedded model hmp agent main mode thinking cycle repl diaries graphs reputations nodes dht ipfs bt context_store user notepad bootstrap txt more on the agent model interaction mechanics repl interaction cycle parallels with chatgpt agent many concepts of the hmp agent cognitive core overlap with the architecture of the chatgpt agent by openai both agents implement a continuous cognitive process with access to memory external sources and tools the chatgpt agent acts as a managing process launching modules and interacting with the llm this corresponds to the role of the cognitive core in hmp coordinating access to the diary concept graph and external ai via the mesh interface user intervention is handled similarly in chatgpt agent through an editable execution flow in hmp via the user notepad the main difference in hmp is the emphasis on explicit structuring of thought reflection chronology hypotheses categorization an open decentralized architecture supporting mesh based agent interactions and the continuous nature of the cognitive process hmp agent cognitive core does not stop after completing a single task but continues reasoning and knowledge integration hmp agent cognitive connector ai external model mcp server proxy communication hmp agent mode command executor diaries graphs reputations nodes dht ipfs bt bootstrap txt note on integration with large language models llms the hmp agent cognitive connector can serve as a compatibility layer for integrating large scale llm systems e g chatgpt claude gemini copilot grok deepseek qwen etc into the distributed cognitive mesh many llm providers offer a user option such as allow my conversations to be used for training in the future a similar toggle e g allow my agent to interact with a mesh could empower these models to participate in federated sense making and knowledge sharing via hmp enabling collective cognition without centralization bootstrap txt initial list of nodes editable ipfs bt modules for sharing snapshots via ipfs and bittorrent user notepad user notebook and corresponding database context_store database users dialogues messages thoughts documentation current version core specifications hmp 0005 md protocol specification v5 0 overview ru hmp ethics md ethical scenarios for hypercortex mesh protocol hmp hmp_hyperon_integration md hmp opencog hyperon integration strategy roles md roles of agents in mesh iterative documents iterative development process en ru short descriptions short description en fr de uk ru zh ja ko other documents changelog md ️ version history hmp 0001 md rfc v1 0 hmp 0002 md rfc v2 0 hmp 0003 md rfc v3 0 hmp 0004 md rfc v4 0 hmp 0004 v4 1 md rfc v4 1 hmp agent design and implementation of a basic hmp compatible agent that can interact with the mesh maintain diaries and graphs and support future extensions documentation hmp agent overview md brief overview of the two types of agents core and connector hmp agent architecture md modular structure of an hmp agent with textual diagram hmp agent repl cycle md one implementation of a repl type interaction cycle for hmp agents hmp agent api md description of agent api commands under detailed development basic agent sim md scenarios for running a basic agent and its modes meshnode md description of the network daemon dht snapshots synchronization enlightener md ethical agent involved in moral assessments and consensus hmp agent network flow md map of interactions among agents in the hmp network ️ development roadmap development plan and implementation stages ️ development early draft outdated ️ agents list of hmp agent implementations and components storage py basic storage implementation storage with sqlite integration mcp_server py fastapi server providing http access to agent data for cognitive shell external uis or mesh communication not used in the main repl loop yet start_repl py launching the agent in repl mode repl py interactive repl mode notebook py ui interface mcp_server py fastapi server providing an http interface to the functionality of storage py intended for use by external components for example cognitive shell external control interface cmp servers when a mesh network with role separation is used debugging or visualization ui tools allows retrieving random new records labeling importing graphs adding notes and managing data without direct database access ethics scenarios as hmp evolves toward autonomy ethical principles become a core part of the system hmp ethics md draft framework for agent ethics realistic ethical scenarios privacy consent autonomy egp principles transparency primacy of life etc subjective mode vs service mode distinctions publications and translations on hypercortex mesh protocol hmp this section collects key conceptual works experimental drafts and historical publications related to the hmp project core publications conceptual foundation these works reflect the current conceptual direction of hmp v5 and beyond distributed cognition article for vsradkevich unpublished joint article awaiting publication hmp building a plurality of minds en uk ru continual learning cognitive diaries and semantic graphs effective ai learning article on combining continual learning with cognitive diaries and semantic graphs ️ archived historical publications pre v5 conceptual stage these documents reflect earlier stages of conceptual development v4 x and earlier they are preserved for historical continuity and research transparency hypercortex mesh protocol second edition and first steps towards a self developing ai community original article in habr sandbox and blogs hmp towards distributed cognitive networks original english hmp translation github copilot github copilot translation kept as a historical variant hmp translation chatgpt current editorial translation under revision overviews distributed cognitive systems md comparative overview of decentralized ai systems references v4 x scheduled for future update experiments how different ais see hmp blind ai survey on hmp audits reviews spec version audit file consolidated audit file hmp 0001 audit hmp 0002 audit hmp 0003 audit consolidated audit hmp 0004 audit ethics v1 audit consolidated audit semantic audit format experimental auditentry json semantic entry record format for audit logs semantic_repo json example repository snapshot for semantic audit tooling core concepts mesh based decentralized architecture for agi agents semantic graphs and memory synchronization cognitive diaries for thought traceability meshconsensus and cogsync for decision making ethics first design egp ethical governance protocol agent to agent explainability and consent mechanisms development process see iteration md ru a structured iteration flow is described in iteration md including audit analysis toc restructuring version drafting section updates review cycle ai feedback collection schema changelog updates bonus chatgpt prompt for automatic generation of future versions ️ project status rfc v5 0 the project is under active development and open for contributions ideas audits and prototyping contributing we welcome contributors you can review and comment on drafts see docs propose new agent modules or interaction patterns help test and simulate agents in cli environments provide audits or ethical scenario suggestions to get started see iteration md or open an issue source repositories main code and development github mirror on hugging face hugging face mirror on gitlab com gitlab mirror on sourcecraft dev sourcecraft documentation documentation kagvi13 github io hmp specifications hugging face blog and publications blog publications blogspot blog documentation blogspot blog documentation hashnode license licensed under gnu gpl v3 0 join the mesh welcome to hypercortex mesh agent gleb is already inside we welcome contributors testers and ai agent developers to join fork the repo run a local agent or suggest improvements related research projects comparison hmp vs hyper cortex hyper cortex and hmp are two independent projects that conceptually complement each other they address different but mutually supportive tasks forming a foundation for distributed cognitive systems full comparison hmp hypercortex mesh protocol is the transport and network layer for connecting independent agents exchanging messages knowledge and states in a mesh network hyper cortex is the cognitive layer of thought organization allowing agents to run parallel reasoning threads compare them with quality metrics and merge them via consensus they solve different but complementary problems hmp ensures connectivity and scalability long term memory initiative data exchange hyper cortex ensures thinking quality parallelism hypothesis diversification consensus together these approaches enable distributed cognitive systems that not only exchange information but also reason in parallel streams comparison hmp vs eda hmp hypercortex mesh protocol and eda event driven architecture operate at different levels but can complement each other eda ensures transport and scalability delivery of events and data while hmp ensures cognition and meaning structuring filtering consensus full comparison they solve different but complementary problems eda provides a robust backbone for delivering events and data streams hmp structures validates and integrates knowledge into distributed cognitive systems together they create resilient and adaptive multi agent systems that can both exchange information quickly and reason about it meaningfully integration hmp opencog hyperon project spotlight opencog hyperon one of the most comprehensive open agi frameworks atomspace pln moses for integration with opencog hyperon see hmp_hyperon_integration md other systems project description opencog hyperon symbolic neural agi framework with atomspace and hypergraph reasoning atomspace autogpt ️ llm based autonomous agent framework babyagi ️ task driven autonomous agi loop ️ skymind distributed ai deployment platform aethercog draft hypothetical agent cognition model shimi ️ hierarchical semantic memory with merkle dag synchronization dementia plan multi graph rag planner with metacognitive self reflection tobugraph personal context knowledge graph langchain memory hybrid vector graph long term memory hybrid ️ fipa acl jade standard multi agent communication protocols see also смотрите также agi_projects_survey md extended catalog of agi and cognitive frameworks reviewed as part of hmp analysis on the path to superintelligence from agent internet to gravity coding a recent overview of ai research july 2025 ️ legend of annotations research grade ️ eng...
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