This topic covers unified AI access layers for crypto: middleware and marketplaces that let AI agents, models, and developer stacks interact reliably with blockchains, smart wallets, and decentralized infrastructure. As of 2026‑03‑06, agentic AI and Web3 tooling have converged around the need for standardized interfaces that handle identity, secure signing, on‑chain data retrieval, execution gating, and governance — reducing friction for builders and risk for operators. Key components include AI agent marketplaces and tool marketplaces that surface reusable agents and integrations; decentralized AI infrastructure that provides compute, storage, and provenance; and security/governance layers that enforce policy, auditing, and safe execution. Representative technologies in this space include agent engineering frameworks (LangChain for building and testing agents; GPTConsole for SDK/CLI lifecycle and monetization), developer platforms for document and RAG agents (LlamaIndex), end‑to‑end enterprise agent builders (StackAI), autonomous agent runtimes (AutoGPT), and model providers (Google Gemini, Cohere, Vertex AI) supplying multimodal and enterprise models, retrieval, and embeddings. Specialized integrations such as AI‑integrated crypto wallets (e.g., AI wallet development on Aptos) demonstrate how wallet automation and UX tie directly into access layers. The practical trend is toward composable stacks: model providers + orchestration frameworks + wallet/ledger adapters + governance modules. Unified access layers aim to simplify integration, improve auditability for on‑chain actions, and enable marketplaces to list interoperable, governable agent capabilities. Competitors (including Gate For AI and others) are competing to become the standard bridge between AI tooling and blockchain ecosystems, prioritizing security, developer ergonomics, and policy compliance.