This topic examines blockchain‑based platforms that enable AI‑driven communities: decentralized infrastructure for agent orchestration, marketplaces for AI agents and tools, governance layers for compliance, and emerging post‑quantum blockchain tooling. It’s about combining on‑chain primitives (identity, provenance, tokens, voting) with agent‑centric software stacks so communities can discover, license, run, and audit autonomous AI components. Relevance in 2026: enterprise adoption of agentic AI and multi‑agent workflows has risen alongside stronger regulatory scrutiny and demand for transparent provenance and audit trails. At the same time, concerns about long‑term cryptographic security have pushed projects to consider post‑quantum readiness. These pressures make blockchain integration—especially for governance, monetization, and verifiable logs—more timely. Key tools and roles: StackAI and Relevance AI provide end‑to‑end no‑code/low‑code platforms for building, deploying, and governing autonomous agents and workflows; they lower the barrier for enterprises to participate in agent marketplaces. Xilos focuses on enterprise agentic infrastructure, offering visibility and orchestration across services. Monitaur targets regulated industries with centralized policy, monitoring, and vendor governance—useful where on‑chain controls need complementary off‑chain assurance. Together AI supplies the compute layer—fast inference, fine‑tuning, and scalable GPU training—that decentralized marketplaces require to provision models and services reliably. Taken together, these categories and tools describe an ecosystem where decentralized marketplaces, enterprise governance, compute acceleration, and cryptographic hardening converge to support trustworthy, monetizable AI communities. Practical implementations will balance on‑chain transparency with off‑chain controls and evolving post‑quantum cryptography strategies.