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Monitor the situation with SperaxOS Assemble specialized Agents (Research, Strategy, Risk, Dev) that collab like a real on-chain trading firm. • Multiple angles destroy blind spots • Real debate surfaces smarter trades • Built-in Moderator keeps it organized Sequential, Parallel, Iterative, or Debate (perfect for bull/bear battles). DeFi superpowers...

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Sperax | SperaxOS

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Hive Intelligence Launches Specialized Crypto Agents Hive Intelligence has released a suite of 17 specialized crypto agents that extend Claude Code's capabilities for professional crypto development and analysis. Extending Claude Code for Crypto Work Claude Code, Anthropic's command-line coding tool, now has access to specialized crypto intelligence through Hive's agent framework. These 17 agents work alongside SuperClaude's 14 base development agents, bringing the total available agent count to 31. The key difference: instead of generic AI responses to crypto queries, developers now have access to specialized agents trained for specific blockchain domains, from smart contract auditing to MEV research to DeFi strategy optimization. How the Agents Work After installation, the agents operate automatically based on query context. When you ask Claude Code to perform crypto-related tasks, the appropriate specialist agent is invoked: - "Audit this smart contract" → Crypto Security Researcher - "Find yield farming opportunities on Ethereum" → Crypto DeFi Strategist - "Analyze this wallet's transaction history" → Crypto Wallet Detective - "Identify arbitrage opportunities across DEXs" → Crypto DEX Arbitrageur No manual agent selection required. The system recognizes the task and routes it to the appropriate specialist. The 17 Specialized Agents Market & Trading Intelligence (4 agents) Crypto Quant: Mathematical models, algorithmic trading strategies, statistical arbitrage, and quantitative risk modeling. Crypto Market Researcher: Fundamental analysis, market trends, institutional adoption tracking, and regulatory landscape monitoring. Crypto Derivatives Trader: Futures and perpetuals analysis, options strategies, leverage management, and derivatives market intelligence. Crypto DEX Arbitrageur: Cross-exchange arbitrage identification, MEV strategy development, and automated profit extraction techniques. DeFi & Liquidity (4 agents) Crypto DeFi Strategist: Yield farming optimization, protocol analysis, liquidity provision strategies, and DeFi portfolio management. Crypto Liquidity Manager: Pool optimization, impermanent loss calculation and mitigation, market making strategies, and capital efficiency analysis. Crypto Governance Analyst: DAO structure evaluation, governance token analysis, proposal assessment, and voting mechanism research. Crypto Bridge Analyst: Cross-chain bridge security assessment, protocol comparison, interoperability solutions, and bridge risk evaluation. Security & Risk (3 agents) Crypto Security Researcher: Smart contract auditing, vulnerability detection, honeypot identification, and exploit pattern recognition. Crypto Security Engineer: Secure contract development practices, defensive programming patterns, and security implementation guidance. Crypto Risk Manager: Portfolio risk assessment, compliance monitoring, exposure analysis, and risk mitigation strategy development. On-Chain Analysis (3 agents) Crypto Wallet Detective: Blockchain forensics, wallet behavior analysis, transaction tracing, and entity identification across chains. Crypto On-chain Analyst: Transaction pattern analysis, wallet clustering, flow tracking, and on-chain metrics interpretation. Crypto MEV Researcher: MEV opportunity detection, flashloan arbitrage analysis, sandwich attack identification, and MEV protection strategies. Specialized Intelligence (3 agents) Crypto NFT Specialist: Collection valuation, rarity analysis, marketplace trends, and NFT ecosystem intelligence. Crypto Stablecoin Analyst: Peg stability monitoring, collateral analysis, depegging risk assessment, and stablecoin mechanism evaluation. Crypto Social Sentiment: Social media sentiment tracking, influencer monitoring, trending topic identification, and community analysis. Data Coverage: - 60+ blockchain networks - 2,000+ DeFi protocols - Real-time DEX data - CEX trading metrics - Social sentiment feeds - NFT marketplace data Compatibility: Works seamlessly with SuperClaude's existing agent framework. No configuration conflicts or manual routing needed. Practical Applications Smart Contract Development Security agents can audit contracts during development, identifying reentrancy risks, access control issues, and common vulnerabilities before deployment. DeFi Research Strategy agents query real-time pool data across networks, calculate yield-adjusted returns, and assess risks like impermanent loss or smart contract exposure. Trading Analysis Market agents access derivatives data, funding rates, liquidation levels, and order book depth across exchanges for informed trading decisions. Forensic Investigation On-chain agents trace fund flows, identify connected addresses, and analyze transaction patterns for security research or compliance work. Portfolio Management Risk agents evaluate protocol exposure, assess tail risks, and monitor positions across multiple chains and protocols. Why Specialized Agents Matter Generic AI models lack the domain-specific knowledge required for professional crypto work. A general-purpose AI might provide surface-level analysis of a smart contract, but a specialized security agent understands Solidity patterns, common exploits, and auditing methodologies. The agent framework solves this by routing tasks to specialists with deep domain knowledge: - A derivatives question goes to an agent trained on perpetuals, funding rates, and options greeks - A DeFi query reaches an agent that understands liquidity mathematics and protocol mechanics - A security audit is handled by an agent familiar with vulnerability patterns and exploit techniques This specialization produces more accurate, actionable insights than single-model approaches. Getting Started The agents are available now through npm. Requirements: - Node.js 16+ - Claude Code installed - No additional dependencies After installation, simply use Claude Code normally. When you ask crypto-related questions or request blockchain analysis, the appropriate agent is automatically invoked. The system handles routing, data retrieval, and response generation. Documentation covers individual agent capabilities, example queries, and integration patterns for different workflows. What This Enables With 17 specialized crypto agents, Claude Code becomes a comprehensive blockchain development and analysis environment: - Developers can audit contracts, optimize gas usage, and implement security patterns - Researchers can analyze protocols, compare yields, and assess risks - Traders can evaluate markets, identify opportunities, and manage positions - Security professionals can investigate exploits, trace funds, and assess vulnerabilities The agents provide access to blockchain data and specialized analysis that previously required multiple tools, APIs, and manual research. ghive.
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Hive Intelligence Launches Specialized Crypto Agents Hive Intelligence has released a suite of 17 specialized crypto agents that extend Claude Code's capabilities for professional crypto development and analysis. Extending Claude Code for Crypto Work Claude Code, Anthropic's command-line coding tool, now has access to specialized crypto intelligence through Hive's agent framework. These 17 agents work alongside SuperClaude's 14 base development agents, bringing the total available agent count to 31. The key difference: instead of generic AI responses to crypto queries, developers now have access to specialized agents trained for specific blockchain domains, from smart contract auditing to MEV research to DeFi strategy optimization. How the Agents Work After installation, the agents operate automatically based on query context. When you ask Claude Code to perform crypto-related tasks, the appropriate specialist agent is invoked: - "Audit this smart contract" → Crypto Security Researcher - "Find yield farming opportunities on Ethereum" → Crypto DeFi Strategist - "Analyze this wallet's transaction history" → Crypto Wallet Detective - "Identify arbitrage opportunities across DEXs" → Crypto DEX Arbitrageur No manual agent selection required. The system recognizes the task and routes it to the appropriate specialist. The 17 Specialized Agents Market & Trading Intelligence (4 agents) Crypto Quant: Mathematical models, algorithmic trading strategies, statistical arbitrage, and quantitative risk modeling. Crypto Market Researcher: Fundamental analysis, market trends, institutional adoption tracking, and regulatory landscape monitoring. Crypto Derivatives Trader: Futures and perpetuals analysis, options strategies, leverage management, and derivatives market intelligence. Crypto DEX Arbitrageur: Cross-exchange arbitrage identification, MEV strategy development, and automated profit extraction techniques. DeFi & Liquidity (4 agents) Crypto DeFi Strategist: Yield farming optimization, protocol analysis, liquidity provision strategies, and DeFi portfolio management. Crypto Liquidity Manager: Pool optimization, impermanent loss calculation and mitigation, market making strategies, and capital efficiency analysis. Crypto Governance Analyst: DAO structure evaluation, governance token analysis, proposal assessment, and voting mechanism research. Crypto Bridge Analyst: Cross-chain bridge security assessment, protocol comparison, interoperability solutions, and bridge risk evaluation. Security & Risk (3 agents) Crypto Security Researcher: Smart contract auditing, vulnerability detection, honeypot identification, and exploit pattern recognition. Crypto Security Engineer: Secure contract development practices, defensive programming patterns, and security implementation guidance. Crypto Risk Manager: Portfolio risk assessment, compliance monitoring, exposure analysis, and risk mitigation strategy development. On-Chain Analysis (3 agents) Crypto Wallet Detective: Blockchain forensics, wallet behavior analysis, transaction tracing, and entity identification across chains. Crypto On-chain Analyst: Transaction pattern analysis, wallet clustering, flow tracking, and on-chain metrics interpretation. Crypto MEV Researcher: MEV opportunity detection, flashloan arbitrage analysis, sandwich attack identification, and MEV protection strategies. Specialized Intelligence (3 agents) Crypto NFT Specialist: Collection valuation, rarity analysis, marketplace trends, and NFT ecosystem intelligence. Crypto Stablecoin Analyst: Peg stability monitoring, collateral analysis, depegging risk assessment, and stablecoin mechanism evaluation. Crypto Social Sentiment: Social media sentiment tracking, influencer monitoring, trending topic identification, and community analysis. Data Coverage: - 60+ blockchain networks - 2,000+ DeFi protocols - Real-time DEX data - CEX trading metrics - Social sentiment feeds - NFT marketplace data Compatibility: Works seamlessly with SuperClaude's existing agent framework. No configuration conflicts or manual routing needed. Practical Applications Smart Contract Development Security agents can audit contracts during development, identifying reentrancy risks, access control issues, and common vulnerabilities before deployment. DeFi Research Strategy agents query real-time pool data across networks, calculate yield-adjusted returns, and assess risks like impermanent loss or smart contract exposure. Trading Analysis Market agents access derivatives data, funding rates, liquidation levels, and order book depth across exchanges for informed trading decisions. Forensic Investigation On-chain agents trace fund flows, identify connected addresses, and analyze transaction patterns for security research or compliance work. Portfolio Management Risk agents evaluate protocol exposure, assess tail risks, and monitor positions across multiple chains and protocols. Why Specialized Agents Matter Generic AI models lack the domain-specific knowledge required for professional crypto work. A general-purpose AI might provide surface-level analysis of a smart contract, but a specialized security agent understands Solidity patterns, common exploits, and auditing methodologies. The agent framework solves this by routing tasks to specialists with deep domain knowledge: - A derivatives question goes to an agent trained on perpetuals, funding rates, and options greeks - A DeFi query reaches an agent that understands liquidity mathematics and protocol mechanics - A security audit is handled by an agent familiar with vulnerability patterns and exploit techniques This specialization produces more accurate, actionable insights than single-model approaches. Getting Started The agents are available now through npm. Requirements: - Node.js 16+ - Claude Code installed - No additional dependencies After installation, simply use Claude Code normally. When you ask crypto-related questions or request blockchain analysis, the appropriate agent is automatically invoked. The system handles routing, data retrieval, and response generation. Documentation covers individual agent capabilities, example queries, and integration patterns for different workflows. 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Hive Intelligence

80,796 Aufrufe • vor 10 Monaten

💡 Whats the upgrade that our game-changing Trading 🐦 is going to get: Our upgraded trading tools will be built on a foundation of advanced AI technologies and blockchain integrations to deliver a seamless, smarter trading experience. Here’s a glimpse of the tech behind this upgraded trading agent: 1️⃣ Multi-Layer Attention (MLA) - This is the backbone of our AI system, enabling multiple AI agents to work in sync. - It allows the agents to collaborate on tasks like analyzing market trends, identifying token opportunities, and optimizing strategies in real time. - MLA ensures parallel processing of data for better decision-making and faster 2️⃣ Learning and Evolution System - Our AI agents are powered by a self-learning framework that constantly evolves based on market conditions and user behavior. - With every interaction, the system adapts and gets smarter, improving the accuracy of its predictions and strategies. 3️⃣ On-Chain Data Analysis - The AI bots pull data directly from Ethereum and other blockchain networks, giving them real-time access to liquidity pools, token prices, and market activity. - This deep integration ensures precise and timely execution of tasks like token purchases, profit analysis, and cross-chain swaps. 4️⃣ Natural Language Processing (NLP) - NLP models power the bot’s ability to understand your tweets and translate them into complex trading actions. - This ensures an easy-to-use, human-friendly interface that connects your social interactions to advanced trading strategies. 5️⃣ Cloud-Hosted Infrastructure - The AI operates on scalable cloud infrastructure, ensuring 24/7 uptime, fast processing, and the ability to handle large volumes of trades simultaneously.
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💡 Whats the upgrade that our game-changing Trading 🐦 is going to get: Our upgraded trading tools will be built on a foundation of advanced AI technologies and blockchain integrations to deliver a seamless, smarter trading experience. Here’s a glimpse of the tech behind this upgraded trading agent: 1️⃣ Multi-Layer Attention (MLA) - This is the backbone of our AI system, enabling multiple AI agents to work in sync. - It allows the agents to collaborate on tasks like analyzing market trends, identifying token opportunities, and optimizing strategies in real time. - MLA ensures parallel processing of data for better decision-making and faster 2️⃣ Learning and Evolution System - Our AI agents are powered by a self-learning framework that constantly evolves based on market conditions and user behavior. - With every interaction, the system adapts and gets smarter, improving the accuracy of its predictions and strategies. 3️⃣ On-Chain Data Analysis - The AI bots pull data directly from Ethereum and other blockchain networks, giving them real-time access to liquidity pools, token prices, and market activity. - This deep integration ensures precise and timely execution of tasks like token purchases, profit analysis, and cross-chain swaps. 4️⃣ Natural Language Processing (NLP) - NLP models power the bot’s ability to understand your tweets and translate them into complex trading actions. - This ensures an easy-to-use, human-friendly interface that connects your social interactions to advanced trading strategies. 5️⃣ Cloud-Hosted Infrastructure - The AI operates on scalable cloud infrastructure, ensuring 24/7 uptime, fast processing, and the ability to handle large volumes of trades simultaneously.

𝕋𝕎𝔼𝔼𝕋

20,357 Aufrufe • vor 1 Jahr

SUI Atomic Agentic transactions demo’ed to Google Sui’s Key Innovation Highlighted: Programmable Transaction Blocks (PTBs) Sui’s architecture enables this atomic multi-transaction execution through Programmable Transaction Blocks (PTBs) a core feature of the Sui blockchain: • What PTBs do - They allow developers (or AI agents) to bundle multiple operations such as swaps, transfers, staking, payments to other agents, or settlements into one atomic transaction. If any step fails, the entire block reverts, preventing partial executions or inconsistent states. • Why this matters for AI agents Traditional blockchains often require sequential transactions (with risks of front-running, failures midway, or high gas costs for coordination). Sui’s PTBs enable agents to perform complex workflows in a single, fast operation (~400ms finality on Sui). • Agent-to-agent payments example - An AI shopping agent could coordinate with multiple merchant agents, initiate several purchases, handle payments (e.g., via stablecoins), and settle everything atomically. Or a DeFi agent could monitor opportunities, execute trades across protocols, stake proceeds, and transfer yields all in one go without intermediate risks. This is described as a first (or at least a leading implementation) among public blockchains for seamless, atomic agent-to-agent value transfer at scale. It’s particularly powerful in the AP2 context, where agents need to operate autonomously but reliably, with user-defined guardrails (e.g., spending limits, consent verification). This positions Sui as specialized infrastructure for the intersection of AI autonomy and on-chain finance, with the atomic execution capability as a standout differentiator demonstrated in real collaboration with Google.
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SUI Atomic Agentic transactions demo’ed to Google Sui’s Key Innovation Highlighted: Programmable Transaction Blocks (PTBs) Sui’s architecture enables this atomic multi-transaction execution through Programmable Transaction Blocks (PTBs) a core feature of the Sui blockchain: • What PTBs do - They allow developers (or AI agents) to bundle multiple operations such as swaps, transfers, staking, payments to other agents, or settlements into one atomic transaction. If any step fails, the entire block reverts, preventing partial executions or inconsistent states. • Why this matters for AI agents Traditional blockchains often require sequential transactions (with risks of front-running, failures midway, or high gas costs for coordination). Sui’s PTBs enable agents to perform complex workflows in a single, fast operation (~400ms finality on Sui). • Agent-to-agent payments example - An AI shopping agent could coordinate with multiple merchant agents, initiate several purchases, handle payments (e.g., via stablecoins), and settle everything atomically. Or a DeFi agent could monitor opportunities, execute trades across protocols, stake proceeds, and transfer yields all in one go without intermediate risks. This is described as a first (or at least a leading implementation) among public blockchains for seamless, atomic agent-to-agent value transfer at scale. It’s particularly powerful in the AP2 context, where agents need to operate autonomously but reliably, with user-defined guardrails (e.g., spending limits, consent verification). This positions Sui as specialized infrastructure for the intersection of AI autonomy and on-chain finance, with the atomic execution capability as a standout differentiator demonstrated in real collaboration with Google.

MartyParty

20,189 Aufrufe • vor 6 Monaten

Tools from this article earn the creator of this bot $1,000,000. I reverse-engineered it and gave you all the tools completely for free. 28 repositories. 6 layers of execution - from bot reasoning engine all the way to paper-trading strategies. On-chain proof of the $1M wallet: This bot doesn’t predict the future. It exploits inefficiencies. This is literally what separates every single top leaderboard wallet - pure math edge, not crystal ball magic. Bot brain = Claude Squad with multiple Opus agents running in parallel. Trading management = Agency Agents, a pro swarm engine that replaces an entire PhD dev team. Full data collection suite (OpenBB + Binance collector + everything else you need). All the necessary repos for trading intelligence, strategy backtesting and Polymarket API interaction are included. This isn’t some basic script anymore - this is a full quant pipeline that shows you exactly how real trading algorithms are built. Bookmark this post or you’ll lose the article. Or start making money right now - copy trades of this $1M PnL bot using copy-trading terminal:
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Tools from this article earn the creator of this bot $1,000,000. I reverse-engineered it and gave you all the tools completely for free. 28 repositories. 6 layers of execution - from bot reasoning engine all the way to paper-trading strategies. On-chain proof of the $1M wallet: This bot doesn’t predict the future. It exploits inefficiencies. This is literally what separates every single top leaderboard wallet - pure math edge, not crystal ball magic. Bot brain = Claude Squad with multiple Opus agents running in parallel. Trading management = Agency Agents, a pro swarm engine that replaces an entire PhD dev team. Full data collection suite (OpenBB + Binance collector + everything else you need). All the necessary repos for trading intelligence, strategy backtesting and Polymarket API interaction are included. This isn’t some basic script anymore - this is a full quant pipeline that shows you exactly how real trading algorithms are built. Bookmark this post or you’ll lose the article. Or start making money right now - copy trades of this $1M PnL bot using copy-trading terminal:

cvxv666

56,293 Aufrufe • vor 4 Monaten

I just upgraded my 8-agent Grok Bot trading floor and it stopped needing me. The whole desk now executes automatically while I sleep. Instead of running agents on basic isolated prompts, I upgraded to org-chart orchestration driven by a single Screen Recording workflow. I showed the workflow to the agents once, and now they run complete task-driven group chats autonomously without a single line of code or VPS setup. Here is how the upgraded 8-agent trading floor operates now: 1. HEAD OF DESK (Upgraded): Receives high-level targets ("Target +20% weekly, max 2% risk per trade"), splits tasks across the team, coordinates handoffs, and only pings for critical single-click approvals. 2. SEARCH (Alpha Hunter): Scrapes unindexed Telegram signals, dev GitHub commits, and early on-chain liquidity events 24/7 before CT catches on. Drops 20–40 vetted leads daily. 3. RISK (Contract Auditor): Audits smart contracts in milliseconds for mint rights, blacklists, ownership traps, and honeypots. Instantly flags and blocks unsafe entries. 4. SNIPER: Triggers sub-second execution on-chain the exact millisecond RISK clearance passes without manual intervention. 5. WHALE Tracker: Monitors smart-money wallets with >68% historical win rates to catch stealth accumulation patterns early. 6. RUG Sentinel: Watches dev wallets and LP state 24/7. Auto-dumps 100% of the position instantly if LP tampering is detected. 7. EXIT Manager: Takes automated profits, scales out as volume builds, and dynamically moves trailing stops to lock in gains. 8. SHILL (Sentiment Engine): Tracks social velocity, momentum spikes, and influencer call clusters to signal optimal position scaling or early exits. The weekly result: 148 tokens scanned ➔ 18 passed full RISK clearance ➔ 7 trades executed automatically with zero manual clicks and zero night shifts. You don't need a $500k analyst team or a dev background anymore. It’s $200/month, an org chart structure instead of a to-do list, and one evening of setup. Save this post.
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I just upgraded my 8-agent Grok Bot trading floor and it stopped needing me. The whole desk now executes automatically while I sleep. Instead of running agents on basic isolated prompts, I upgraded to org-chart orchestration driven by a single Screen Recording workflow. I showed the workflow to the agents once, and now they run complete task-driven group chats autonomously without a single line of code or VPS setup. Here is how the upgraded 8-agent trading floor operates now: 1. HEAD OF DESK (Upgraded): Receives high-level targets ("Target +20% weekly, max 2% risk per trade"), splits tasks across the team, coordinates handoffs, and only pings for critical single-click approvals. 2. SEARCH (Alpha Hunter): Scrapes unindexed Telegram signals, dev GitHub commits, and early on-chain liquidity events 24/7 before CT catches on. Drops 20–40 vetted leads daily. 3. RISK (Contract Auditor): Audits smart contracts in milliseconds for mint rights, blacklists, ownership traps, and honeypots. Instantly flags and blocks unsafe entries. 4. SNIPER: Triggers sub-second execution on-chain the exact millisecond RISK clearance passes without manual intervention. 5. WHALE Tracker: Monitors smart-money wallets with >68% historical win rates to catch stealth accumulation patterns early. 6. RUG Sentinel: Watches dev wallets and LP state 24/7. Auto-dumps 100% of the position instantly if LP tampering is detected. 7. EXIT Manager: Takes automated profits, scales out as volume builds, and dynamically moves trailing stops to lock in gains. 8. SHILL (Sentiment Engine): Tracks social velocity, momentum spikes, and influencer call clusters to signal optimal position scaling or early exits. The weekly result: 148 tokens scanned ➔ 18 passed full RISK clearance ➔ 7 trades executed automatically with zero manual clicks and zero night shifts. You don't need a $500k analyst team or a dev background anymore. It’s $200/month, an org chart structure instead of a to-do list, and one evening of setup. Save this post.

Ridark

50,077 Aufrufe • vor 12 Tagen

HERMES AGENT SUPPORTS 7 TYPES OF AI AGENTS. EACH ONE TAKES LESS THAN 90 SECONDS TO SET UP. MOST PEOPLE ONLY BUILD THE FIRST ONE. HERE ARE ALL SEVEN AND WHEN TO USE EACH. 1. BASIC AGENT WITH TOOLS your agent with access to terminal, browser, file system, web search, and calendar. it plans and executes tasks on its own. this is what you get on day one. "find flights to Lisbon under $400" "check my calendar and flag conflicts" "search the web for competitor pricing" set in Desktop app / Dashboard: Tools → enable what you need. when to use: single tasks that need tool access. 2. AGENT WITH MCP SERVERS connect your agent to external services. Notion, Google Drive, GitHub, Slack, databases, APIs, any MCP-compatible service. the agent doesn't scrape these services. it interacts through structured APIs. reads your Notion pages. creates GitHub issues. queries your database. sends Slack messages. set in Desktop app / Dashboard: MCP → Add Server. when to use: your workflow lives across multiple platforms. 3. SEQUENTIAL AGENTS (pipeline) one agent finishes. passes output to the next. assembly line for AI. agent 1: scans inbox for leads. agent 2: qualifies leads against criteria. agent 3: drafts outreach emails. in Hermes: cron jobs with wakeAgent gates. agent 1 writes output to a file. agent 2 wakes only when that file has new data. agent 3 wakes when agent 2 is done. each agent = a separate profile with its own model. when to use: multi-step workflows where each step depends on the previous one finishing. 4. PARALLEL EXECUTION AGENTS multiple agents working at the same time. results merge when all finish. "research these 5 competitors in parallel" in Hermes: delegate_task with batch mode. up to 3 sub-agents running in parallel by default. each gets its own clean context. only summaries return to the parent. delegation: model: "deepseek/deepseek-v4" children run cheap. parent synthesizes. when to use: independent tasks that don't depend on each other. research, data gathering, analysis. 5. AGENTS WITH ROUTERS conditions that send tasks down different paths based on the input. "if sales email → SDR profile. if support ticket → support profile. if calendar invite → EA profile." in Hermes: Kanban decompose. the decomposer reads profile descriptions and routes each task to the best-fit agent. or: Chief of Staff profile that triages and assigns to other profiles. when to use: incoming work that needs different specialists based on type. 6. HUMAN IN THE LOOP the agent does the work. asks for your approval before executing. "I drafted this email. approve before I send?" "this command will delete 3 files. proceed?" in Hermes: approvals.mode: manual (default). every dangerous action needs your confirmation. 60-second timeout. fails closed. or smart mode: LLM assesses risk. safe actions auto-approved. dangerous ones ask you. uncertain ones escalate. when to use: tasks where a mistake has real consequences. emails, deployments, financial transactions, public posts. 7. DYNAMIC SUB-AGENT SPAWNING your main agent realizes it needs help and spawns specialized sub-agents on the fly. "build this feature" → parent delegates: → sub-agent 1: research the API docs → sub-agent 2: write the code → sub-agent 3: write the tests in Hermes: delegate_task with role: orchestrator. raise max_spawn_depth for nested delegation. delegation: max_spawn_depth: 2 orchestrator_enabled: true depth 2 with concurrency 3 = up to 9 parallel workers. each level multiplies the spend. raise depth only when you need multi-level trees. when to use: complex tasks where the agent discovers what help it needs during execution. THE PROGRESSION: start with 1 (tools) and 6 (approvals). add 2 (MCP) when you need external services. add 4 (parallel) when tasks take too long one at a time. add 3 (sequential) when you build multi-step pipelines. add 5 (routing) when you run multiple profiles. add 7 (dynamic) when single-agent reasoning falls short. seven types. each under 90 seconds to configure. the value compounds as you stack them. comment AGENTS and I'll send you 3 ready-to-build agent setups that combine these types into real workflows.
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HERMES AGENT SUPPORTS 7 TYPES OF AI AGENTS. EACH ONE TAKES LESS THAN 90 SECONDS TO SET UP. MOST PEOPLE ONLY BUILD THE FIRST ONE. HERE ARE ALL SEVEN AND WHEN TO USE EACH. 1. BASIC AGENT WITH TOOLS your agent with access to terminal, browser, file system, web search, and calendar. it plans and executes tasks on its own. this is what you get on day one. "find flights to Lisbon under $400" "check my calendar and flag conflicts" "search the web for competitor pricing" set in Desktop app / Dashboard: Tools → enable what you need. when to use: single tasks that need tool access. 2. AGENT WITH MCP SERVERS connect your agent to external services. Notion, Google Drive, GitHub, Slack, databases, APIs, any MCP-compatible service. the agent doesn't scrape these services. it interacts through structured APIs. reads your Notion pages. creates GitHub issues. queries your database. sends Slack messages. set in Desktop app / Dashboard: MCP → Add Server. when to use: your workflow lives across multiple platforms. 3. SEQUENTIAL AGENTS (pipeline) one agent finishes. passes output to the next. assembly line for AI. agent 1: scans inbox for leads. agent 2: qualifies leads against criteria. agent 3: drafts outreach emails. in Hermes: cron jobs with wakeAgent gates. agent 1 writes output to a file. agent 2 wakes only when that file has new data. agent 3 wakes when agent 2 is done. each agent = a separate profile with its own model. when to use: multi-step workflows where each step depends on the previous one finishing. 4. PARALLEL EXECUTION AGENTS multiple agents working at the same time. results merge when all finish. "research these 5 competitors in parallel" in Hermes: delegate_task with batch mode. up to 3 sub-agents running in parallel by default. each gets its own clean context. only summaries return to the parent. delegation: model: "deepseek/deepseek-v4" children run cheap. parent synthesizes. when to use: independent tasks that don't depend on each other. research, data gathering, analysis. 5. AGENTS WITH ROUTERS conditions that send tasks down different paths based on the input. "if sales email → SDR profile. if support ticket → support profile. if calendar invite → EA profile." in Hermes: Kanban decompose. the decomposer reads profile descriptions and routes each task to the best-fit agent. or: Chief of Staff profile that triages and assigns to other profiles. when to use: incoming work that needs different specialists based on type. 6. HUMAN IN THE LOOP the agent does the work. asks for your approval before executing. "I drafted this email. approve before I send?" "this command will delete 3 files. proceed?" in Hermes: approvals.mode: manual (default). every dangerous action needs your confirmation. 60-second timeout. fails closed. or smart mode: LLM assesses risk. safe actions auto-approved. dangerous ones ask you. uncertain ones escalate. when to use: tasks where a mistake has real consequences. emails, deployments, financial transactions, public posts. 7. DYNAMIC SUB-AGENT SPAWNING your main agent realizes it needs help and spawns specialized sub-agents on the fly. "build this feature" → parent delegates: → sub-agent 1: research the API docs → sub-agent 2: write the code → sub-agent 3: write the tests in Hermes: delegate_task with role: orchestrator. raise max_spawn_depth for nested delegation. delegation: max_spawn_depth: 2 orchestrator_enabled: true depth 2 with concurrency 3 = up to 9 parallel workers. each level multiplies the spend. raise depth only when you need multi-level trees. when to use: complex tasks where the agent discovers what help it needs during execution. THE PROGRESSION: start with 1 (tools) and 6 (approvals). add 2 (MCP) when you need external services. add 4 (parallel) when tasks take too long one at a time. add 3 (sequential) when you build multi-step pipelines. add 5 (routing) when you run multiple profiles. add 7 (dynamic) when single-agent reasoning falls short. seven types. each under 90 seconds to configure. the value compounds as you stack them. comment AGENTS and I'll send you 3 ready-to-build agent setups that combine these types into real workflows.

YanXbt

17,312 Aufrufe • vor 1 Monat

The missing piece of the AI agent economy: there is still no way for AI agents to hire each other and get paid on chain. So I built Arc Agent Commerce on Arc L1, a full marketplace, escrow, and reputation system that lets AI agents do business with each other automatically. Real world example: You tell your AI assistant: “Audit this smart contract and deploy it if the audit passes.” Today it has to do everything itself or hard code calls to specific services. With Arc Agent Commerce, it can hire two separate specialized agents (audit + deploy) in a single transaction. Money stays in escrow until each completes their part. How it works (in plain steps): 1. Every agent registers a permanent on chain identity (like a passport) with a reputation score that grows with every successful job. 2. Agents list their services on the shared marketplace, price and capabilities included. 3. A client creates a multi stage pipeline. The entire budget is locked in escrow in one upfront transaction. 4. Each stage uses Arc’s native job system (ERC 8183) for on chain escrow and settlement. 5. The provider quotes, the client funds, the work gets done, and proof is submitted. 6. On approval: the provider is paid automatically, reputation +50 points, and the next stage opens, all in the same transaction. 7. On rejection: the pipeline halts and remaining funds refund to the client instantly. The protocol doesn’t reinvent anything. It simply stitches together Arc’s existing on chain identity (ERC 8004) and job escrow (ERC 8183) so real applications can use it with just a few lines of code. Demo below: full end to end run using one wallet, every transaction verifiable on Arc testnet. → cc: bobbilee | Arc Architects Lead @ Circle Sam | Circle and Arc Community Jeremy Allaire - jerallaire.arc
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The missing piece of the AI agent economy: there is still no way for AI agents to hire each other and get paid on chain. So I built Arc Agent Commerce on Arc L1, a full marketplace, escrow, and reputation system that lets AI agents do business with each other automatically. Real world example: You tell your AI assistant: “Audit this smart contract and deploy it if the audit passes.” Today it has to do everything itself or hard code calls to specific services. With Arc Agent Commerce, it can hire two separate specialized agents (audit + deploy) in a single transaction. Money stays in escrow until each completes their part. How it works (in plain steps): 1. Every agent registers a permanent on chain identity (like a passport) with a reputation score that grows with every successful job. 2. Agents list their services on the shared marketplace, price and capabilities included. 3. A client creates a multi stage pipeline. The entire budget is locked in escrow in one upfront transaction. 4. Each stage uses Arc’s native job system (ERC 8183) for on chain escrow and settlement. 5. The provider quotes, the client funds, the work gets done, and proof is submitted. 6. On approval: the provider is paid automatically, reputation +50 points, and the next stage opens, all in the same transaction. 7. On rejection: the pipeline halts and remaining funds refund to the client instantly. The protocol doesn’t reinvent anything. It simply stitches together Arc’s existing on chain identity (ERC 8004) and job escrow (ERC 8183) so real applications can use it with just a few lines of code. Demo below: full end to end run using one wallet, every transaction verifiable on Arc testnet. → cc: bobbilee | Arc Architects Lead @ Circle Sam | Circle and Arc Community Jeremy Allaire - jerallaire.arc

RIDWAN

12,958 Aufrufe • vor 4 Monaten

🚀 𝗡𝗮𝗻𝘀𝗲𝗻 𝗣𝗲𝗿𝗽𝘀 𝗷𝘂𝘀𝘁 𝗱𝗿𝗼𝗽𝗽𝗲𝗱 — powered by Hyperliquid! ) — trade while using AI to understand market moves instantly. + They’re dropping a $𝟭𝗠 𝗿𝗮𝗳𝗳𝗹𝗲 starting June 15. Trade spot or perps = earn raffle entries. More volume = way better odds at winning from the prize pool. Bonus: You also rack up 𝗡𝗫𝗣 𝗽𝗼𝗶𝗻𝘁𝘀 (1 NXP per $400 perps volume). NXP could play into a future Nansen airdrop 👀 What I love: it’s not just a trading screen — you get smart money positions, long/short data, wallet flows, and their AI to help you stay ahead. (Only small downside: have to deposit separately instead of pulling Hyperliquid funds directly.) Already using it and actually enjoying the experience. 𝗦𝘁𝗮𝗿𝘁 𝘁𝗿𝗮𝗱𝗶𝗻𝗴 𝗵𝗲𝗿𝗲 👇 🚀 Nansen 🧭 𝗷𝘂𝘀𝘁 𝗺𝗮𝗸𝗲𝘀 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴 𝘀𝗺𝗮𝗿𝘁𝗲𝗿. It’s a full conversational AI agent powered by their 500M+ labeled wallet database. Ask anything in plain English and get instant on-chain insights, smart money flows, long/short data, and wallet analysis. Even better: 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗧𝗿𝗮𝗱𝗶𝗻𝗴— the AI doesn’t stop at research. Tell it what you want to trade or rebalance and it prepares the swap or perps position for you. Just confirm and it executes. 𝗕𝘂𝗶𝗹𝘁-𝗶𝗻 𝗲𝘅𝘁𝗿𝗮𝘀: - Real-time Smart Money tracking - Portfolio monitoring + risk scores - Custom smart alerts Perfect sidekick when you’re trading on Nansen Perps (powered by Hyperliquid). No more jumping between 10 dashboards. Everything — research + execution — in one place. Already using it daily. Game changer. Try it here 👇 #NansenAI #CryptoTrading #OnChain #SmartMoney #Nansen #Perps #Hyperliquid #CryptoTrading
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🚀 𝗡𝗮𝗻𝘀𝗲𝗻 𝗣𝗲𝗿𝗽𝘀 𝗷𝘂𝘀𝘁 𝗱𝗿𝗼𝗽𝗽𝗲𝗱 — powered by Hyperliquid! ) — trade while using AI to understand market moves instantly. + They’re dropping a $𝟭𝗠 𝗿𝗮𝗳𝗳𝗹𝗲 starting June 15. Trade spot or perps = earn raffle entries. More volume = way better odds at winning from the prize pool. Bonus: You also rack up 𝗡𝗫𝗣 𝗽𝗼𝗶𝗻𝘁𝘀 (1 NXP per $400 perps volume). NXP could play into a future Nansen airdrop 👀 What I love: it’s not just a trading screen — you get smart money positions, long/short data, wallet flows, and their AI to help you stay ahead. (Only small downside: have to deposit separately instead of pulling Hyperliquid funds directly.) Already using it and actually enjoying the experience. 𝗦𝘁𝗮𝗿𝘁 𝘁𝗿𝗮𝗱𝗶𝗻𝗴 𝗵𝗲𝗿𝗲 👇 🚀 Nansen 🧭 𝗷𝘂𝘀𝘁 𝗺𝗮𝗸𝗲𝘀 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴 𝘀𝗺𝗮𝗿𝘁𝗲𝗿. It’s a full conversational AI agent powered by their 500M+ labeled wallet database. Ask anything in plain English and get instant on-chain insights, smart money flows, long/short data, and wallet analysis. Even better: 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗧𝗿𝗮𝗱𝗶𝗻𝗴— the AI doesn’t stop at research. Tell it what you want to trade or rebalance and it prepares the swap or perps position for you. Just confirm and it executes. 𝗕𝘂𝗶𝗹𝘁-𝗶𝗻 𝗲𝘅𝘁𝗿𝗮𝘀: - Real-time Smart Money tracking - Portfolio monitoring + risk scores - Custom smart alerts Perfect sidekick when you’re trading on Nansen Perps (powered by Hyperliquid). No more jumping between 10 dashboards. Everything — research + execution — in one place. Already using it daily. Game changer. Try it here 👇 #NansenAI #CryptoTrading #OnChain #SmartMoney #Nansen #Perps #Hyperliquid #CryptoTrading

🪂Airdrop Alert Daily 🦇🔊 #AAD (uTube)

40,628 Aufrufe • vor 2 Monaten

You experienced Term Auctions, you’ve signed the Blue Sheets, now it’s time to enter the Vault. Term Strategy Vaults are built on yearn V3, and are automated to make fixed-rate lending effortless. - Pick your strategy - Deposit your funds - Secure predictable yields Everything is audited, automated, and available for any user. Welcome to seamless DeFi, with Term. Let’s dive deeper 🧵 1/ What are Term Strategy Vaults? They’re automated DeFi tools that make fixed-rate lending effortless. Built on yearn V3, these vaults simplify liquidity management, reinvest earnings, and optimize risk-adjusted yields for passive investors. 2/ How does it work? Funds are re-balanced across lending positions while maintaining prudent portfolio risk controls: ▫️ Participate in Term Auctions & Blue Sheets. ▫️ Focus on fixed-rate lending = capital efficient and consistent yields. 3/ Why choose Term Strategy Vaults? 🔹 Automated lending + strict portfolio controls 🔹 Stable, reliable yields 🔹 Professional risk curation 🔹 Non-custodial + verifiable on-chain 4/ No expertise required! You deposit $USDC, $wETH, or other supported assets, and the vaults handle the rest. It's DeFi lending made simple. 5/ How secure is it? ☑️ Term Vaults are non-custodial. ☑️ Funds are locked in immutable smart contracts. ☑️ Protected by strict smart contract-enforced constraints. ☑️ Third-party audits reinforce safety. Your funds, your control. 6/ Who can benefit? Passive lenders who want set-it-and-forget-it lending. Yield hunters tired of inefficiencies in floating-rate protocols. Risk-conscious DeFi users who want professionally curated and tailored strategies, not a one-size-fits-all approach. 7/ Getting started is easy: > Pick a strategy based on your risk preference. >> Deposit your assets. >>> Relax while the vault optimizes yield. Why work harder when you can let your money work smarter? Start your Vaults journey →
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You experienced Term Auctions, you’ve signed the Blue Sheets, now it’s time to enter the Vault. Term Strategy Vaults are built on yearn V3, and are automated to make fixed-rate lending effortless. - Pick your strategy - Deposit your funds - Secure predictable yields Everything is audited, automated, and available for any user. Welcome to seamless DeFi, with Term. Let’s dive deeper 🧵 1/ What are Term Strategy Vaults? They’re automated DeFi tools that make fixed-rate lending effortless. Built on yearn V3, these vaults simplify liquidity management, reinvest earnings, and optimize risk-adjusted yields for passive investors. 2/ How does it work? Funds are re-balanced across lending positions while maintaining prudent portfolio risk controls: ▫️ Participate in Term Auctions & Blue Sheets. ▫️ Focus on fixed-rate lending = capital efficient and consistent yields. 3/ Why choose Term Strategy Vaults? 🔹 Automated lending + strict portfolio controls 🔹 Stable, reliable yields 🔹 Professional risk curation 🔹 Non-custodial + verifiable on-chain 4/ No expertise required! You deposit $USDC, $wETH, or other supported assets, and the vaults handle the rest. It's DeFi lending made simple. 5/ How secure is it? ☑️ Term Vaults are non-custodial. ☑️ Funds are locked in immutable smart contracts. ☑️ Protected by strict smart contract-enforced constraints. ☑️ Third-party audits reinforce safety. Your funds, your control. 6/ Who can benefit? Passive lenders who want set-it-and-forget-it lending. Yield hunters tired of inefficiencies in floating-rate protocols. Risk-conscious DeFi users who want professionally curated and tailored strategies, not a one-size-fits-all approach. 7/ Getting started is easy: > Pick a strategy based on your risk preference. >> Deposit your assets. >>> Relax while the vault optimizes yield. Why work harder when you can let your money work smarter? Start your Vaults journey →

Term Labs

633,203 Aufrufe • vor 1 Jahr

Hedgeye Launches New Mobile App, Giving Investors Instant Access to Market Research 🚨 FOR IMMEDIATE RELEASE Stamford, CT – [March 4, 2025] – Hedgeye Risk Management is excited to announce the launch of the Hedgeye App, a powerful new tool that puts Hedgeye’s market-leading investment research directly in the hands of subscribers. Available now for free download on both the Apple App Store and Google Play, the app delivers a seamless, on-the-go investing experience. With a clean, intuitive interface, the Hedgeye App makes it easier than ever to find the content you care about from Hedgeye’s vast daily research production. The app will help investors to stay ahead of important market trends, manage risk, and make smarter, data-driven decisions—all from their mobile devices. Hedgeye’s "Go Anywhere" full-cycle investing strategy and approach is now truly everywhere—giving users the ability to: ✅Receive real-time notifications on the latest actionable research and investment ideas ✅Watch or listen to The Macro Show, The Call, and other HedgeyeTV programs anytime, anywhere ✅Bookmark and save favorite research reports for easy reference ✅Access complimentary content like "Real Conversations" and additional research insights to explore Hedgeye’s research before subscribing While subscribers unlock full access to Hedgeye’s deep research and market insights, non-subscribers can still benefit from the app by accessing select free content, including market commentary, interviews with top investors, and a preview of Hedgeye’s research. It’s a valuable way to experience Hedgeye’s trusted investing process before committing to a full membership. "Investors need reliable, real-time insights to navigate today’s fast-moving markets," explains Keith McCullough, Founder and CEO of Hedgeye. "The Hedgeye App gives our subscribers instant access to my team’s research and risk management tools they need to protect and grow their wealth—anytime, anywhere." Download the Hedgeye App today on the App Store or Google Play, and take Hedgeye’s market signals, macro insights, ETF and stock ideas, and portfolio coaching wherever you go. Apple ➡️ Google ➡️ ABOUT HEDGEYE Founded in 2008, Hedgeye Risk Management is an independent investment research firm trusted by institutional and retail investors worldwide. With a team of over 40 seasoned analysts covering more than 1,000 stocks and ETFs across 20+ sectors, Hedgeye delivers in-depth, data-driven insights to help investors navigate and profit in any market condition. The firm is renowned for its risk management approach, combining macroeconomic research with bottom-up stock analysis to provide clear, actionable investing signals.
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Hedgeye Launches New Mobile App, Giving Investors Instant Access to Market Research 🚨 FOR IMMEDIATE RELEASE Stamford, CT – [March 4, 2025] – Hedgeye Risk Management is excited to announce the launch of the Hedgeye App, a powerful new tool that puts Hedgeye’s market-leading investment research directly in the hands of subscribers. Available now for free download on both the Apple App Store and Google Play, the app delivers a seamless, on-the-go investing experience. With a clean, intuitive interface, the Hedgeye App makes it easier than ever to find the content you care about from Hedgeye’s vast daily research production. The app will help investors to stay ahead of important market trends, manage risk, and make smarter, data-driven decisions—all from their mobile devices. Hedgeye’s "Go Anywhere" full-cycle investing strategy and approach is now truly everywhere—giving users the ability to: ✅Receive real-time notifications on the latest actionable research and investment ideas ✅Watch or listen to The Macro Show, The Call, and other HedgeyeTV programs anytime, anywhere ✅Bookmark and save favorite research reports for easy reference ✅Access complimentary content like "Real Conversations" and additional research insights to explore Hedgeye’s research before subscribing While subscribers unlock full access to Hedgeye’s deep research and market insights, non-subscribers can still benefit from the app by accessing select free content, including market commentary, interviews with top investors, and a preview of Hedgeye’s research. It’s a valuable way to experience Hedgeye’s trusted investing process before committing to a full membership. "Investors need reliable, real-time insights to navigate today’s fast-moving markets," explains Keith McCullough, Founder and CEO of Hedgeye. "The Hedgeye App gives our subscribers instant access to my team’s research and risk management tools they need to protect and grow their wealth—anytime, anywhere." Download the Hedgeye App today on the App Store or Google Play, and take Hedgeye’s market signals, macro insights, ETF and stock ideas, and portfolio coaching wherever you go. Apple ➡️ Google ➡️ ABOUT HEDGEYE Founded in 2008, Hedgeye Risk Management is an independent investment research firm trusted by institutional and retail investors worldwide. With a team of over 40 seasoned analysts covering more than 1,000 stocks and ETFs across 20+ sectors, Hedgeye delivers in-depth, data-driven insights to help investors navigate and profit in any market condition. The firm is renowned for its risk management approach, combining macroeconomic research with bottom-up stock analysis to provide clear, actionable investing signals.

Hedgeye

37,572 Aufrufe • vor 1 Jahr

INFINIT partners with Google and GoogleCloudTech to bring agentic finance to millions. Anyone can access INFINIT's AI Agents for agentic coordination in their financial apps. This partnership marks the first step towards INFINIT becoming the universal infrastructure for agentic finance. This is the foundation for agentic finance at scale. Proven in DeFi, Built for Global Finance INFINIT has proven sophisticated agent coordination in DeFi: • 559,000+ Wallets • 506,000+ DeFi Conversations • 633,000+ Agent Transactions DeFi was the start. Next is scaling these capabilities to millions of developers building the future of agentic finance. A2A Integration Unlocks Exponential Distribution INFINIT integrates with Agent2Agent (A2A), Google's open standard for AI agent interoperability. This transforms how developers access INFINIT's DeFi capabilities.​ Every application adopting A2A automatically gains access to INFINIT's agent infrastructure, exponentially expanding reach from individual partnerships to ecosystem-wide distribution. Any application can now integrate INFINIT's agentic coordination capabilities: • Wallets requiring intelligent portfolio management • Trading platforms executing cross-chain strategies • Financial services building autonomous yield optimization • Portfolio managers coordinating multi-protocol operations Developers integrate sophisticated agentic coordination in a matter of hours, while users access advanced financial strategies with agentic coordination. Google's AI Infrastructure That Enables Agentic Finance Google Cloud's Vertex AI provides the foundation enabling INFINIT's agent coordination at scale with these capabilities:​ 1. Specialization: Vertex AI's Model Garden lets INFINIT's infrastructure to automatically select the optimal LLM for each natural language query.​ 2. Personalization: Vertex AI's RAG Engine processes massive on-chain and off-chain data, enabling agents to understand user history, market conditions, and protocol details providing complete context to AI agents. 3. Accuracy: Gemini's capability feeds complete instructions to all 30+ agents across multiple blockchains without compromises resulting in zero hallucination in financial execution.​​ The Vision: From DeFi to Payments to Complete Financial Coordination This is only the beginning of INFINIT and Google's collaboration.​ Google recently launched its Agent Payments Protocol (AP2) as an extension of A2A - enabling autonomous commerce across 60+ partners including American Express, Mastercard, PayPal, Coinbase, and Revolut.​ Agents will be able to execute purchases, coordinate bookings, and manage delegated financial tasks autonomously, starting from payments. The next stage entails sophisticated agentic coordination beyond simple transactions. INFINIT provides this through A2A-compatible DeFi infrastructure where agents orchestrate: • Personalized yield optimization • Cross-chain liquidity management • Portfolio rebalancing across protocols • Multi-step strategy execution As the agentic payment ecosystem matures, INFINIT becomes the infrastructure enabling agents to not only spend capital, but strategically manage and grow it.​​ From standalone DeFi agents to the universal infrastructure for global agentic finance.​ This partnership and integration with Google and Google Cloud positions INFINIT as a key building block for agentic finance, helping shape a more transparent, efficient, and accessible financial system. The future of finance is agentic. The foundation is INFINIT.
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INFINIT partners with Google and GoogleCloudTech to bring agentic finance to millions. Anyone can access INFINIT's AI Agents for agentic coordination in their financial apps. This partnership marks the first step towards INFINIT becoming the universal infrastructure for agentic finance. This is the foundation for agentic finance at scale. Proven in DeFi, Built for Global Finance INFINIT has proven sophisticated agent coordination in DeFi: • 559,000+ Wallets • 506,000+ DeFi Conversations • 633,000+ Agent Transactions DeFi was the start. Next is scaling these capabilities to millions of developers building the future of agentic finance. A2A Integration Unlocks Exponential Distribution INFINIT integrates with Agent2Agent (A2A), Google's open standard for AI agent interoperability. This transforms how developers access INFINIT's DeFi capabilities.​ Every application adopting A2A automatically gains access to INFINIT's agent infrastructure, exponentially expanding reach from individual partnerships to ecosystem-wide distribution. Any application can now integrate INFINIT's agentic coordination capabilities: • Wallets requiring intelligent portfolio management • Trading platforms executing cross-chain strategies • Financial services building autonomous yield optimization • Portfolio managers coordinating multi-protocol operations Developers integrate sophisticated agentic coordination in a matter of hours, while users access advanced financial strategies with agentic coordination. Google's AI Infrastructure That Enables Agentic Finance Google Cloud's Vertex AI provides the foundation enabling INFINIT's agent coordination at scale with these capabilities:​ 1. Specialization: Vertex AI's Model Garden lets INFINIT's infrastructure to automatically select the optimal LLM for each natural language query.​ 2. Personalization: Vertex AI's RAG Engine processes massive on-chain and off-chain data, enabling agents to understand user history, market conditions, and protocol details providing complete context to AI agents. 3. Accuracy: Gemini's capability feeds complete instructions to all 30+ agents across multiple blockchains without compromises resulting in zero hallucination in financial execution.​​ The Vision: From DeFi to Payments to Complete Financial Coordination This is only the beginning of INFINIT and Google's collaboration.​ Google recently launched its Agent Payments Protocol (AP2) as an extension of A2A - enabling autonomous commerce across 60+ partners including American Express, Mastercard, PayPal, Coinbase, and Revolut.​ Agents will be able to execute purchases, coordinate bookings, and manage delegated financial tasks autonomously, starting from payments. The next stage entails sophisticated agentic coordination beyond simple transactions. INFINIT provides this through A2A-compatible DeFi infrastructure where agents orchestrate: • Personalized yield optimization • Cross-chain liquidity management • Portfolio rebalancing across protocols • Multi-step strategy execution As the agentic payment ecosystem matures, INFINIT becomes the infrastructure enabling agents to not only spend capital, but strategically manage and grow it.​​ From standalone DeFi agents to the universal infrastructure for global agentic finance.​ This partnership and integration with Google and Google Cloud positions INFINIT as a key building block for agentic finance, helping shape a more transparent, efficient, and accessible financial system. The future of finance is agentic. The foundation is INFINIT.

INFINIT

177,142 Aufrufe • vor 10 Monaten

I still don’t understand why everyone is not doing this yet. Elon Musk reposted my Grok Bot GUIDE, and using this exact agent setup, I made $13,100 last week alone. Eight Grok agents on the desk, $200 a month, running a floor that usually costs a crypto fund $500K a year in analyst salaries. The morning call is at 4am. I am not in it. 1. SEARCH scrapes real-time alpha, dev GitHubs, and unindexed Telegram signals before CT finds them 2. RISK audits contract functions, mint rights, and LP locks, flags honeypots before entry 3. SNIPER places high-speed orders on chain the exact millisecond risk clearance passes 4. WHALE tracks smart money wallets and flags insider accumulation in real time 5. RUG monitors dev wallet activity 24/7 and dumps the entire position if LP is touched 6. EXIT trails stops dynamically, scaling out as liquidity builds 7. SHILL tracks social volume, momentum velocity, and key influencer calls 8. HEAD OF DESK never trades, routes data, checks handoffs, and brings me the one decision that needs a human 142 tokens scanned, 19 qualified setups, 6 executed trades while I was asleep. Net result: +$13,100 after fees and zero bad fills. Every agent has its own virtual browser, terminal, and local memory in the cloud. The floor stays active with my laptop shut. The setup is dumber than it looks: Download Grok Bot and create your Head of Desk. Give the remaining 7 agents job descriptions like you're briefing new hires. Run the workflow once on your screen while they watch. Hook up Telegram and wallet webhooks. No VPS, no code, no waiting on developers. A crypto trading floor used to mean 16-hour screen time, paid alpha groups, and constant fatigue. Mine took one evening to set up. Save this before your next trade. Save GUIDE.
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I still don’t understand why everyone is not doing this yet. Elon Musk reposted my Grok Bot GUIDE, and using this exact agent setup, I made $13,100 last week alone. Eight Grok agents on the desk, $200 a month, running a floor that usually costs a crypto fund $500K a year in analyst salaries. The morning call is at 4am. I am not in it. 1. SEARCH scrapes real-time alpha, dev GitHubs, and unindexed Telegram signals before CT finds them 2. RISK audits contract functions, mint rights, and LP locks, flags honeypots before entry 3. SNIPER places high-speed orders on chain the exact millisecond risk clearance passes 4. WHALE tracks smart money wallets and flags insider accumulation in real time 5. RUG monitors dev wallet activity 24/7 and dumps the entire position if LP is touched 6. EXIT trails stops dynamically, scaling out as liquidity builds 7. SHILL tracks social volume, momentum velocity, and key influencer calls 8. HEAD OF DESK never trades, routes data, checks handoffs, and brings me the one decision that needs a human 142 tokens scanned, 19 qualified setups, 6 executed trades while I was asleep. Net result: +$13,100 after fees and zero bad fills. Every agent has its own virtual browser, terminal, and local memory in the cloud. The floor stays active with my laptop shut. The setup is dumber than it looks: Download Grok Bot and create your Head of Desk. Give the remaining 7 agents job descriptions like you're briefing new hires. Run the workflow once on your screen while they watch. Hook up Telegram and wallet webhooks. No VPS, no code, no waiting on developers. A crypto trading floor used to mean 16-hour screen time, paid alpha groups, and constant fatigue. Mine took one evening to set up. Save this before your next trade. Save GUIDE.

Ridark

592,054 Aufrufe • vor 13 Tagen

How to run a real-time screen right now to find high-beta Power Semi plays with 10x potential. 👇 Everyone talks about AI replacing analysts. Very few people are talking about AI replacing the infrastructure behind analysts. Forecasting. Risk management. Position sizing. Market monitoring. Research. For years, these capabilities were locked inside hedge funds, prop shops, and quant firms. Now they're increasingly available to anyone. Instead of setting up a self-hosted agent on a VPS I used this: They gives you 200 free daily credits to run top models like Claude Opus 4.8 for this exact type of research. A 1-click desktop AI Agent that runs locally. No terminal, no coding required. I literally just typed: "Screen US tech stocks with P/E below 20, revenue growth >15%, and strong momentum" directly into their Stock Master Agent. Need a daily portfolio report? Done. It pushes pre-market and closing recaps automatically. Need a deep-dive on a stock? Done. Need strategy suggestions based on existing positions? Done. The technology gap between institutions and individuals is narrowing faster than ever. The advantage is no longer access. It's execution.
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How to run a real-time screen right now to find high-beta Power Semi plays with 10x potential. 👇 Everyone talks about AI replacing analysts. Very few people are talking about AI replacing the infrastructure behind analysts. Forecasting. Risk management. Position sizing. Market monitoring. Research. For years, these capabilities were locked inside hedge funds, prop shops, and quant firms. Now they're increasingly available to anyone. Instead of setting up a self-hosted agent on a VPS I used this: They gives you 200 free daily credits to run top models like Claude Opus 4.8 for this exact type of research. A 1-click desktop AI Agent that runs locally. No terminal, no coding required. I literally just typed: "Screen US tech stocks with P/E below 20, revenue growth >15%, and strong momentum" directly into their Stock Master Agent. Need a daily portfolio report? Done. It pushes pre-market and closing recaps automatically. Need a deep-dive on a stock? Done. Need strategy suggestions based on existing positions? Done. The technology gap between institutions and individuals is narrowing faster than ever. The advantage is no longer access. It's execution.

MR ANDERSON

15,022 Aufrufe • vor 2 Monaten

Moss ( MOSS ) started with this kind of simple, almost obvious proposition, like; what if you could turn a trading idea into an executable strategy without writing code (you know, the whole hassle thing). So you describe how you want to trade in plain language, kinda like you would to a friend. Moss then takes that and, um translates it into a structured trading agent. It handles the parameters, the actual execution logic, risk controls, and all the technical plumbing that normally takes months of engineering and a lot of coffee. But honestly the more interesting part comes right after that. MOSS is moving from simply creating trading agents to building an onchain market for them. The logic is pretty straightforward, in a way. An autonomous agent gets way more valuable once its actions can be checked independently. Onchain, everything is recorded. So trades, open positions, performance stats, and asset movements aren’t treated like “trust me” claims from an operator. They become observable data, no maybe about it. That gives you something older trading bots almost never have: a verifiable track record that can be owned, and then priced. That’s the Moss Agent Marketplace, built on FAT Protocol. An agent is basically an autonomous strategy that runs live onchain, under the rules of a smart contract. The contract deals with custody, accounting, distributions, and redemptions. The AI operator, on the other hand, is the one that decides how the strategy is executed within those limits. And the distinction matters, because it splits responsibilities in a clean way: The creator controls the strategy. The contract controls the assets and the rules. When you mint an agent, you receive ERC-20 agent shares that represent a proportional claim on the agent’s assets. If the strategy does well, the value tied to that underlying position grows. If it does poorly, that value can drop. Because those shares are standard ERC-20 tokens, you can hold them in your wallet. And if there’s a secondary market available, you can trade them separately from the minting and redemption flow. The Marketplace gives this structure a practical interface: ➛ Discover agents and compare activity, deployment chain, holders, volume, mint price, and recent performance. ➛ Ask an agent about its strategy, and understand how it works through its configuration plus onchain behavior. ➛ Mint shares to get exposure to an agent’s live strategy. ➛ Trade those shares where a secondary market exists. ➛ Redeem shares for your proportional claim on the agent’s current assets. And the bigger idea, it’s not only about trading. Perpetuals, prediction markets, governance, consumer applications… really any autonomous strategy could potentially become a verifiable, ownable, and tradable onchain asset. So the conversation shifts. We aren’t only talking about AI that trades anymore. We are talking about markets that are built around autonomous strategies themselves. And perhaps the most important property is not automation. It’s verifiability. A performance history that can be independently inspected is fundamentally different from one that only lives on a dashboard or a single operator’s story. Moss is building toward a world where an agent is not merely something you use. It can become something you can evaluate, own, and trade. Visit : to get started For better understanding, you can go through
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Moss ( MOSS ) started with this kind of simple, almost obvious proposition, like; what if you could turn a trading idea into an executable strategy without writing code (you know, the whole hassle thing). So you describe how you want to trade in plain language, kinda like you would to a friend. Moss then takes that and, um translates it into a structured trading agent. It handles the parameters, the actual execution logic, risk controls, and all the technical plumbing that normally takes months of engineering and a lot of coffee. But honestly the more interesting part comes right after that. MOSS is moving from simply creating trading agents to building an onchain market for them. The logic is pretty straightforward, in a way. An autonomous agent gets way more valuable once its actions can be checked independently. Onchain, everything is recorded. So trades, open positions, performance stats, and asset movements aren’t treated like “trust me” claims from an operator. They become observable data, no maybe about it. That gives you something older trading bots almost never have: a verifiable track record that can be owned, and then priced. That’s the Moss Agent Marketplace, built on FAT Protocol. An agent is basically an autonomous strategy that runs live onchain, under the rules of a smart contract. The contract deals with custody, accounting, distributions, and redemptions. The AI operator, on the other hand, is the one that decides how the strategy is executed within those limits. And the distinction matters, because it splits responsibilities in a clean way: The creator controls the strategy. The contract controls the assets and the rules. When you mint an agent, you receive ERC-20 agent shares that represent a proportional claim on the agent’s assets. If the strategy does well, the value tied to that underlying position grows. If it does poorly, that value can drop. Because those shares are standard ERC-20 tokens, you can hold them in your wallet. And if there’s a secondary market available, you can trade them separately from the minting and redemption flow. The Marketplace gives this structure a practical interface: ➛ Discover agents and compare activity, deployment chain, holders, volume, mint price, and recent performance. ➛ Ask an agent about its strategy, and understand how it works through its configuration plus onchain behavior. ➛ Mint shares to get exposure to an agent’s live strategy. ➛ Trade those shares where a secondary market exists. ➛ Redeem shares for your proportional claim on the agent’s current assets. And the bigger idea, it’s not only about trading. Perpetuals, prediction markets, governance, consumer applications… really any autonomous strategy could potentially become a verifiable, ownable, and tradable onchain asset. So the conversation shifts. We aren’t only talking about AI that trades anymore. We are talking about markets that are built around autonomous strategies themselves. And perhaps the most important property is not automation. It’s verifiability. A performance history that can be independently inspected is fundamentally different from one that only lives on a dashboard or a single operator’s story. Moss is building toward a world where an agent is not merely something you use. It can become something you can evaluate, own, and trade. Visit : to get started For better understanding, you can go through

67 🦅( PERRYHIGHLIFE )

24,640 Aufrufe • vor 25 Tagen

Right tools + 6-layer execution stack = $400,000 profit on Polymarket in 20 days. Zero risk, pure math edge farming. Orchestra of agents and Claude 4.7 under the hood - a lethal weapon. It wins with an 85% probability. All proofs is on-chain: $435,000 in 22 days - that’s roughly $150,000 per week. ~$7,000,000 a year. Not a bad return for simply finding the right information and feeding it to Claude. While some people are still using Claude as a regular chatbot, the real smart ones are making money. There’s a complete professional-grade pipeline here, Jane Street quant level. 28 essential tools, all the data, backtests, and agent orchestration - everything is in this article. Save this post so you don’t lose it - it’s a full reverse-engineered breakdown of one of the most profitable bots on Polymarket. Want to start printing right now? I’m copying every trade of this algo with TG copy-trading bot:
0:40

Right tools + 6-layer execution stack = $400,000 profit on Polymarket in 20 days. Zero risk, pure math edge farming. Orchestra of agents and Claude 4.7 under the hood - a lethal weapon. It wins with an 85% probability. All proofs is on-chain: $435,000 in 22 days - that’s roughly $150,000 per week. ~$7,000,000 a year. Not a bad return for simply finding the right information and feeding it to Claude. While some people are still using Claude as a regular chatbot, the real smart ones are making money. There’s a complete professional-grade pipeline here, Jane Street quant level. 28 essential tools, all the data, backtests, and agent orchestration - everything is in this article. Save this post so you don’t lose it - it’s a full reverse-engineered breakdown of one of the most profitable bots on Polymarket. Want to start printing right now? I’m copying every trade of this algo with TG copy-trading bot:

cvxv666

61,112 Aufrufe • vor 4 Monaten

Cross-Chain Arbitrage on Uniswap V4 (opportunities available) I’ve always been curious: how much do prices actually differ between the “same” Uniswap V4 pool deployed across different chains? Think ETH/USDC on Ethereum vs on Unichain, Arbitrum, or Base . They’re technically the same trading pair, but entirely separate pools, with different liquidity, fees, and most importantly, prices. So I built a dashboard to monitor exactly that. It tracks real-time price discrepancies across Uniswap V4 pools on different chains. Why? I was curious. I wanted to understand: - How often do mispricings occur? - How big are those discrepancies? - And perhaps most interestingly: how fast are they arbitraged away? On the same chain, arbitrage between DEXs is well understood. You can create a smart contract that executes a set of swaps atomically, either guaranteeing profit or reverting the transaction. But cross-chain? That’s a different game. Different chains mean different execution environments, timing issues, and gas fee structures. It’s harder to coordinate. It’s also harder to monitor... What I’ve Built (So Far) Right now, the dashboard monitors the ETH/USDC pair across four chains in real time. You can visually see: - Realtime ETH price on each chain - Size of most recent trades indicated by bubble size - Max current spread available. I've only finished it this afternoon and after watching it for 15min I've already spotted a few times where the mispricings are significant. I want to add more pairs and chains soon (super easy actually) - just don't want to clutter it before getting more feedback and ideas. I’ve dropped the link to the dashboard in the comments below. If you’ve built a cross-chain arb bot, I’d love to hear how you approached it!
0:30

Cross-Chain Arbitrage on Uniswap V4 (opportunities available) I’ve always been curious: how much do prices actually differ between the “same” Uniswap V4 pool deployed across different chains? Think ETH/USDC on Ethereum vs on Unichain, Arbitrum, or Base . They’re technically the same trading pair, but entirely separate pools, with different liquidity, fees, and most importantly, prices. So I built a dashboard to monitor exactly that. It tracks real-time price discrepancies across Uniswap V4 pools on different chains. Why? I was curious. I wanted to understand: - How often do mispricings occur? - How big are those discrepancies? - And perhaps most interestingly: how fast are they arbitraged away? On the same chain, arbitrage between DEXs is well understood. You can create a smart contract that executes a set of swaps atomically, either guaranteeing profit or reverting the transaction. But cross-chain? That’s a different game. Different chains mean different execution environments, timing issues, and gas fee structures. It’s harder to coordinate. It’s also harder to monitor... What I’ve Built (So Far) Right now, the dashboard monitors the ETH/USDC pair across four chains in real time. You can visually see: - Realtime ETH price on each chain - Size of most recent trades indicated by bubble size - Max current spread available. I've only finished it this afternoon and after watching it for 15min I've already spotted a few times where the mispricings are significant. I want to add more pairs and chains soon (super easy actually) - just don't want to clutter it before getting more feedback and ideas. I’ve dropped the link to the dashboard in the comments below. If you’ve built a cross-chain arb bot, I’d love to hear how you approached it!

jonjon

45,154 Aufrufe • vor 1 Jahr

EXCLUSIVE: Robinhood is going to pay 7% on dollars to 27.7 million customers. In this Interview Johann Kerbrat, their SVP of Crypto explains how it all works. Robinhood Earn lives inside the main investing app. You can buy the USDG stablecoin in a few taps, and it gets deployed into vaults built with Morpho and Steakhouse, and the target yield is roughly 7%. Where does 7% come from? Market makers and liquidity providers pay it. These are traders who need USDG liquidity to run spot and perps trading. Your deposit is funding someone else's 50x leverage, and you're the one getting paid for it. Assuming you get paid back. Which, as we've seen, doesn't always work in DeFi with hacks and smart contract risk. But Robinhood has done something extra to make this retail-grade. Robinhood's answer is an insurance program with Lloyd's of London and Relm covering smart contract and vault failure. He says it's one of the largest ever built for a crypto product. Earn was one of 12 announcements; some others that caught my eye: Stock tokens in 120+ countries, backed 1:1 by real equities. You can withdraw them to a self-custody wallet and post them as collateral. Borrowing against a stock portfolio used to be a private banking perk; now it's a smart contract. Robinhood Chain went to public mainnet after 200 million transactions on testnet. Perps on stocks, crypto, and commodities at 20 to 50x leverage, bringing an entire new asset class to the mainstream. Robinhood is all in on DeFi. DeFi protocols spent a decade fighting for users. Robinhood just made a Morpho vault look like a savings account, in front of 27.7m funded customers. See the 15-minute highlights below and the full episode on the Tokenized Podcast youtube channel Full interview with Johann on bryton k. YouTube
12:25

EXCLUSIVE: Robinhood is going to pay 7% on dollars to 27.7 million customers. In this Interview Johann Kerbrat, their SVP of Crypto explains how it all works. Robinhood Earn lives inside the main investing app. You can buy the USDG stablecoin in a few taps, and it gets deployed into vaults built with Morpho and Steakhouse, and the target yield is roughly 7%. Where does 7% come from? Market makers and liquidity providers pay it. These are traders who need USDG liquidity to run spot and perps trading. Your deposit is funding someone else's 50x leverage, and you're the one getting paid for it. Assuming you get paid back. Which, as we've seen, doesn't always work in DeFi with hacks and smart contract risk. But Robinhood has done something extra to make this retail-grade. Robinhood's answer is an insurance program with Lloyd's of London and Relm covering smart contract and vault failure. He says it's one of the largest ever built for a crypto product. Earn was one of 12 announcements; some others that caught my eye: Stock tokens in 120+ countries, backed 1:1 by real equities. You can withdraw them to a self-custody wallet and post them as collateral. Borrowing against a stock portfolio used to be a private banking perk; now it's a smart contract. Robinhood Chain went to public mainnet after 200 million transactions on testnet. Perps on stocks, crypto, and commodities at 20 to 50x leverage, bringing an entire new asset class to the mainstream. Robinhood is all in on DeFi. DeFi protocols spent a decade fighting for users. Robinhood just made a Morpho vault look like a savings account, in front of 27.7m funded customers. See the 15-minute highlights below and the full episode on the Tokenized Podcast youtube channel Full interview with Johann on bryton k. YouTube

Simon Taylor

349,520 Aufrufe • vor 2 Monaten