This topic examines the emerging ecosystem of AI agent toolkits designed to run autonomous fund‑management workflows on blockchain networks (e.g., Polygon, Byreal). It covers agent marketplaces, framework stacks, decentralized AI infrastructure, security governance, and regulatory‑compliance tooling needed to safely automate trading, portfolio rebalancing, treasury operations, and on‑chain governance actions. Relevance in 2026 stems from broader adoption of programmatic DeFi strategies, tighter regulatory scrutiny of automated financial services, and maturation of agentic AI. Teams now combine agent orchestration platforms (AutoGPT‑style runners) with no‑code/low‑code builders (MindStudio) to iterate strategies rapidly; hybrid human‑in‑the‑loop services (Crescendo.ai patterns) to retain oversight and dispute resolution; and hybrid neural+symbolic stacks (Tektonic AI) for predictable, rule‑based compliance logic alongside learned trading heuristics. Quality, testing, and SDLC governance platforms (Qodo/former Codium) are increasingly used to auto‑generate tests, review agent code, and reduce audit surface across off‑chain controllers and smart‑contract adapters. Key considerations include secure on‑chain integration via vetted oracles and adapters, verifiable decision logs for auditability, role‑based access and multisig safety for fund actions, gas and front‑running mitigation, and regulatory traceability for jurisdictions imposing KYC/AML or investor protections. Marketplace and infrastructure trends emphasize composability—plugging agent modules into decentralized compute, custody, and monitoring layers—while governance and compliance tooling aims to make autonomous funds explainable and auditable. This topic helps practitioners evaluate toolchains and governance patterns for deploying responsible, auditable autonomous on‑chain fund managers.