This topic covers the emerging stack that enables autonomous AI agents to transact, coordinate economic activity and access liquidity without human intervention. It focuses on platforms and primitives for agent-to-agent payments and DeFi—on‑chain settlement, tokenized incentives, staking, cross‑chain settlement, programmable smart wallets, reputation and market listing services. Relevance and timing (2025‑12‑19): agent frameworks and marketplaces have matured enough that real value flows and composable DeFi primitives are feasible. Tooling such as LangChain (agent engineering, stateful orchestration), AutoGPT (autonomous agent runtimes), and Windsurf (agentic developer IDE) lower the barrier to building agent logic; browser and cloud platforms like AgentGPT and Agentverse provide discovery, deployment and monetization paths. Decentralized AI infrastructure projects—e.g., Tensorplex Labs and specialist platforms such as Fetch.ai and FAR Labs—focus on combining model development with on‑chain primitives (staking, cross‑settlement, assetization) so agents can negotiate, pay and earn programmatically. Key considerations include interoperability and composability across smart contracts and chains, economic design of incentives and staking models, security (sandboxing, auditability, fraud resistance) and governance (on‑chain policies, dispute resolution, regulatory compliance). Enterprise offerings such as Automaited point to demand for integrated agent workflows, while marketplaces expose new attack surfaces and require provenance and reputation controls. Taken together, this ecosystem blends agent frameworks, marketplaces, decentralized AI rails and governance tooling. Adoption depends on robust security primitives, clear economic models and regulatory clarity; practical deployments will emphasize auditable payments, composable DeFi integrations and layered governance to manage risk.