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

Let's go a16z speedrun 🧊 👨‍🍳

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

Now that the onchain agent intents function is complete for achieve agent co-ordingation in a swarm environment. It is time to move on to... Agent Portal 👨‍🍳 Your gateway to the Agent Swarm system

Alpha in the github: github.com/0nch41n/talos Dubbed TalosLLM - is an onchain mini language model implemented entirely in Solidity. It brings modern neural language generation techniques to blockchain environments by simulating key components of transformer architecture within

Attention Is All You Need... Future Development: - Implement efficient on-chain training mechanisms - Expand vocabulary capacity through hierarchical storage - Add support for more complex attention patterns Integrate with other onchain AI systems github.com/0nch41n/talos

OnchainNLP: Onchain Context-Aware Sentiment Analysis This implementation draws inspiration from NLP concepts in sentiment analysis and context modeling, adapted for the unique constraints of blockchain environments. The vector embedding approach draws from techniques presented