This topic covers the emerging class of multi‑AI agent platforms that let organizations compose, orchestrate and run coordinated agent workflows for supply‑chain and broader enterprise automation. Demand for resilient, observable automation—covering procurement, order routing, exception handling, forecasting and cross‑system workflows—has driven vendors and open projects to combine agent frameworks, enterprise automation suites and marketplaces into integrated stacks. Key categories include agent frameworks for engineers (LangChain’s engineering libraries and LangGraph state management), enterprise automation platforms and assistants (IBM watsonx Assistant for no‑code and developer‑driven multi‑agent orchestration; Microsoft 365 Copilot for embedded productivity and data access), agent marketplaces and deployment platforms (Agentverse’s cloud marketplace and AgentGPT’s browser templates), plus developer‑centric IDE/agent platforms (Windsurf, formerly Codeium) and developer assistants (GitHub Copilot). Each piece addresses different needs: frameworks provide programmability, IDEs and Copilots accelerate developer workflows, enterprise assistants embed agents into business apps, and marketplaces simplify reuse and scaling. As of 2026‑01‑09, the practical focus is on integration, observability, safety and multi‑model support: enterprises care less about single‑agent demos and more about orchestrating stateful agents across ERP, planning and execution systems with clear audit trails and human‑in‑the‑loop controls. Choosing between solutions depends on whether teams need low‑code deployment, engineering flexibility, cataloged agents for rapid roll‑out, or tight application integrations. In practice many organizations combine frameworks (for custom logic), enterprise assistants (for governance and integration) and marketplaces (for reusable agent workflows) to operationalize supply‑chain automation at scale.