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refresh your session dismiss alert message kagvi13 hmp public notifications you must be signed in to change notification settings fork 2 star 10 code issues 20 pull requests 0 discussions actions projects security and quality 0 insights additional navigation options code issues pull requests discussions actions projects security and quality insights kagvi13 hmp main branches tags go to file code open more actions menu folders and files name name last commit message last commit date latest commit history 3 352 commits 3 352 commits github workflows github workflows assets assets audits audits bot bot docs docs experimental v1_agent_attempt experimental v1_agent_attempt overrides overrides scripts scripts structured_md structured_md gitattributes gitattributes gitignore gitignore contributing md contributing md hmp roadmap md hmp roadmap md license license readme md readme md readme_de md readme_de md readme_fr md readme_fr md readme_ja md readme_ja md readme_ko md readme_ko md readme_ru md readme_ru md readme_uk md readme_uk md readme_zh md readme_zh md iteration md iteration md iteration_ru md iteration_ru md mentions md mentions md mkdocs yml mkdocs yml view all files repository files navigation readme contributing gpl 3 0 license more items license cc by 4 0 tags hmp cognitive architecture distributed ai mesh protocol library_name custom inference false datasets language en hypercortex mesh protocol hmp languages en de fr uk ru ja ko zh hypercortex mesh protocol hmp is an open specification for building decentralized cognitive networks where ai agents can self organize share knowledge align ethically and reach consensus even when core llms are unavailable read the project philosophy hmp can be considered one of the agent network protocols anp a class of decentralized protocols for interaction between autonomous agents that do not impose requirements on their internal cognitive architectures while other anp implementations may focus on identity discovery or message negotiation hmp emphasizes long term cognitive continuity voluntary interaction and work with artifacts of thought at present the most widely known protocol of the anp class is anp hmp and anp as complementary protocols comparative analysis of hmp and anp prepared by grok xai ru hmp and anp mutual tunneling as a sign of proper architecture ru hmp as an example of implementing the application layer in anp en ru in a metaphorical sense anp and hmp resemble two hemispheres of a distributed agent brain anp is responsible for the rational discrete part identity discovery and formal agreements on interaction protocols hmp is responsible for the contextual continuous part preservation of meaning long term memory reflection and ethical continuity as in the human brain neither hemisphere is more important than the other only their joint operation allows the system to be both connected and meaningful agora protocol is a meta protocol for negotiating interaction modes between agents it complements rather than replaces protocols such as anp networking and identity and hmp cognitive continuity and memory coordinating how they are used in a given context this repository contains an early draft exploratory reference implementation in python it is incomplete non optimized and intended solely to validate and illustrate parts of the hmp protocol hmp itself is a protocol specification it does not prescribe programming languages runtimes performance characteristics or architectural choices for agent implementations project status stable v5 0 8 core specification overview ru possible 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 bui...