This topic covers agentic AI and multi‑agent platforms used to automate business and developer workflows, plus the coding assistants and marketplaces that surface, host, and govern those agents. By late 2025, organizations are moving beyond experiments to production uses that require orchestration, memory, lifecycle management, and governance—areas addressed by both open frameworks and commercial platforms. Key categories include agent frameworks (e.g., LangChain and its LangGraph stateful components for building and testing agents), automation platforms (AutoGPT for building/deploying autonomous agents; Continue for “Continuous AI” that automates developer workflows across GUI, CLI, IDE, and headless modes), and no‑code or vertical builders (Flowpoint for website analytics and marketing workflows; Duckie for support agents). Developer‑centric platforms (GPTConsole, Replit) provide SDKs, CLIs, hosting and event‑chaining infrastructure to build, share, and monetize production agents. Code generation and assistant tools—GitHub Copilot, Tabnine, Tabby—focus on in‑IDE productivity, private hosting, and enterprise governance. Enterprise virtual assistant platforms like IBM watsonx Assistant emphasize no‑code and developer workflows for multi‑agent orchestrations. Marketplaces and tool catalogues (AI tool marketplaces, agent marketplaces) are emerging to help discovery and governance while platforms such as Anakin.ai offer extensive prebuilt apps for rapid deployment. Practical considerations include deployment model (cloud vs self‑hosted), data privacy, observability, and integration with CI/CD and analytics. This comparison helps technical and product teams evaluate tradeoffs—extensibility, governance, developer experience, and vertical fit—when adopting agentic automation and coding assistants in production.