Enterprise agent and orchestration platforms coordinate multiple LLM-powered agents, external services and business systems to automate complex workflows. This topic covers vendor solutions such as Coupa Compose, Catalyst, Zip and Sage that embed agents into procurement, finance and ERP contexts; developer frameworks and marketplaces that accelerate agent development; and infrastructure and governance layers that enable production use. Key categories include Agent Frameworks, AI Agent Marketplaces, AI Automation Platforms and Low‑Code Workflow Platforms. Current relevance (May 2026) reflects broader enterprise adoption of agentic automation alongside increased emphasis on governance, observability, composability and cost control. Developer-first projects (LangChain) coexist with low‑code/no‑code orchestration (Kore.ai) and turnkey vendor offerings. LangChain provides an open SDK and deployment primitives for building reliable agents; GPTConsole supplies developer tools (SDK, API, CLI, web) for lifecycle, event chaining and memory; Kore.ai focuses on enterprise-grade multi-agent workflows with governance and observability; Xilos positions itself as infrastructure for visibility into agent activity. Platformized developer productivity tools (GitHub Copilot, Amazon CodeWhisperer integrated into Amazon Q Developer) augment agent development and CI/CD pipelines. Key trends: separation of concerns between agent logic, orchestration and observability; emergence of marketplaces and standardized interfaces for agent components; stronger enterprise controls (audit trails, access policies, cost governance); and hybrid/cloud deployment patterns led by AWS agent frameworks and vendor integrations. Evaluating solutions requires balancing domain fit (ERP/procurement vs. general automation), developer experience, governance capabilities and operational observability to move from experiments to reliable, auditable agent-driven workflows.