@Elikrypt AWEsome Reply to @Elikrypt: MAPPING THE AI AGENT ECONOMY IN CRYPTO Yesterday, I covered the risks AI agents pose to crypto users. Today, I’m looking at the other side: the projects building the agents, tools and infrastructure behind this sector. AI agents are moving beyond simple chatbots. They’re being developed to analyse markets, interact with DeFi, execute onchain transactions and coordinate tasks with other agents. I’ve put together a list of projects building different parts of the ecosystem ✧ AGENTS, TRADING & ONCHAIN EXECUTION ✧ @bankrbot — AI-powered crypto interactions and onchain execution. ✧ @virtuals_io — infrastructure for creating and coordinating AI agents. ✧ @Fetch_ai — autonomous agents for discovering services and coordinating tasks. ✧ @autonolas — infrastructure for collaborative autonomous services operating onchain. ✧ @griffaindotcom — AI-driven crypto interactions, particularly on Solana. ✧ @almanak — tools for developing, testing and deploying automated DeFi strategies. ✧ @gizatechxyz — autonomous agents for executing and optimising DeFi strategies. ✧ @Sonar_Trade — automated onchain trading, including market making and position management. ✧ @AIWayfinder — infrastructure helping AI agents navigate blockchain environments and execute actions. ✧ @HeyAnonai — natural-language interface for interacting with DeFi. ✧ @aixbt_agent — AI-powered crypto market intelligence and narrative tracking. ✧ @cookiedotfun — data and analytics for tracking AI agents and their activity. ✧ @Spectral_Labs — infrastructure connecting machine learning with blockchain applications. ✧ @GoKiteAI — AI-agent infrastructure for payments and interactions between agents and services. ✧ @awenetwork_ai — infrastructure for agent-based economies and coordination. ✧ FRAMEWORKS & DEVELOPER TOOLS ✧ @elizaOS — open-source framework for building AI agents and connecting them to services. ✧ Rig by @arcdotfun — Rust framework for building modular AI agents and applications. ✧ goat_sdk by @crossmint — toolkit enabling AI agents to interact with blockchains and crypto protocols, including token swaps. ✧ @CoinbaseDev — AgentKit provides tools for building agents that interact with blockchain networks. ✧ @ShinkaiLocalAI — AI workflow tools emphasising local execution and user control. ✧ @NEARProtocol — infrastructure for AI applications, private inference and user-owned agents. ✧ @Talus_labs — infrastructure focused on verifiable agent execution, onchain permissions and execution limits. ✧ @Ritualnet — infrastructure bringing AI inference and execution onchain. ✧ COMPUTE, DATA & DECENTRALISED INTELLIGENCE ✧ @opentensor — Bittensor coordinates specialised digital services through incentive-driven subnet networks. ✧ @AlloraNetwork — decentralised intelligence network producing predictive outputs for applications. ✧ @ionet — decentralised access to GPU computing resources. ✧ @AethirCloud — distributed GPU infrastructure for AI and cloud computing. ✧ @rendernetwork — distributed GPU infrastructure for rendering and AI workloads. ✧ @akashnet_ — decentralised marketplace for cloud computing. ✧ @grass — network sourcing web data for AI-related use cases. ✧ @vana — infrastructure for user-contributed data and data ownership in AI ecosystems. ✧ @NousResearch — open AI research focused on models and related tools. ✧ PRIVACY & CONFIDENTIAL COMPUTING ✧ @zama — fully homomorphic encryption enabling computation on encrypted data without decrypting it first. ✧ @PhalaNetwork — confidential computing infrastructure for applications requiring protected execution environments. I’ll investigate the products, adoption, technical design, security and token utility where applicable, separating proven value from promises. This content is based on my research and analysis for informational and educational purposes only. It is not financial advice.(Historical earnings: For fiscal 2026Q1 (period ended 2026-03-28), Intel reported basic and diluted EPS of -0.73 and a net loss of USD 3.728 billion, versus basic and diluted EPS of -0.19 and a net loss of USD 0.821 billion in the prior-year period. Consensus expectations: For fiscal 2026Q3 (event date 2026-10-29), consensus expects EPS of 0.3945 and revenue of USD 16.447 billion.)