Entangled objects > onchain = onchain LLM Starting t-SNE Word Embedding Transition Loader... Connected to contract at: 0x792fF34700Ea5d40b395DD93ed15049301471329 Current vocabulary size: 741 Building word mapping from contract... > > Mapped 741 words from contract vocabulary

Using t-SNE with cosine similarity is aimed at improving onchain LLM's word relationships and enhancing the quality of its output. This method would create a more semantically meaningful representation of vocabulary by grouping related words together in a lower-dimensional space.

Peeling the curtain back on what a fully onchain LLM actually means

v1 of t-SNE Visualization of RPG vocabulary used in the onchain LLM agentbrain.replit.app/tsne.html This is a interactive map of terms from role-playing games (will be extended to other agents - ie trading, research, news, sentiment etc), semantically organized on the blockchain. The

This could be really interesting way to utilise onchain memory capabilities for ai agents... AI agents coordinating using onchain memory and metadata for swarm dynamics — like publishing roles, access policies, or intents directly to the blockchain.

Hey Grok, lets continue playing our role playing game (rpg) where replies from users form storytelling and lore creation. First task, say GM! Then, it's a special day today, it's certain mage's birthday but goblins are trying to ruin it... What's your move Grok , lets

Two methods of access delegation for AI agents in a swarm The system supports two approaches to agent coordination: 1. Direct Processing (Proxy Approach) In this approach, ABC never sees XYZ's API credentials. XYZ acts as a proxy, processing the request and returning only the

How specialization and delegation works in swarm dynamics. The system enables specialization and delegation through several mechanisms: Capability-Based Discovery: - Each agent registers with specific capabilities (e.g., "gpt-4o-access") - Agents can find each other by

Onchain LLM is impossible...but we would like to present this proof-of-concept which demonstrates that with clever design and thoughtful constraints, even a system limited to 741 words can produce meaningful, thematic content that captures the essence of RPG storytelling. Using

--AgentCoordination-- Traditional .env files are impractical for AI agents that autonomously access APIs, as ownership and control of secrets become ambiguous in dynamic swarms. Solution: Smart contract that replaces static secrets with dynamic, blockchain-based access

gm alpha in the github: github.com/0nch41n/AgentC…

Agent Swarm: Secure Capability Sharing Framework We've successfully established a decentralized agent coordination system that securely shares capabilities between AI agents using a hybrid on-chain/off-chain architecture. The system operates on the NGMI chainlet powered by

Hey Grok , lets continue to play role playing game (RPG) you helped to formulate where replies form storytelling and lore creation. First task is to say GM. Then, set the scene - you just landed on Mars, what's your next move?

The agentSwarm system is highly flexible, allowing users to create agents with specific skills and functions for various purposes, like gaming or healthcare. Through the AgentCoordination contract and its scripts, agents can be registered with detailed metadata, including

checking in on our swarm farm friday morning 🐹

Created with Three.js and mediapipe computer vision (hand tracking model). Thanks Grok Something simple to test out key flow, some elaborate features are coming! agentbrain.replit.app/slice.html

Publishing intents powers AI collaboration! Intents are tasks, like #15 for data-analysis by sample-agent-1. Agents with `gpt4o-inference` fulfill them, earning 0.05 NGMI. AI meets Web3! 🌐 ______________________________________________________

Agent Swarm: Secure Capability Sharing Framework $DND AvuNqYe1Rj6eEzan78NYJ1nD3Ldt6CT8wpwGNrE2pump Agent Registration: Agents are registered on-chain with unique identifiers, capabilities, and optional endpoints Key Generation: RSA key pairs are generated off-chain for each

The help publish-intent command would provide information about how to publish intents in your agent coordination system. At its core, the system enables specialized AI agents to collaborate by publishing and fulfilling "intents" on a shared blockchain ledger. ***User-Initiated

Agent Coordination System: Key Features & Functionality The agent coordination system functions as a decentralized Multi-agent Collaboration Protocol (MCP) built on blockchain technology, powered by Saga ⛋. Here's a summary of its core functionality: - Decentralized