watsonx Orchestrate

Explore the A2A standard for agent‑to‑agent communication, from deploying HR agents on Code Engine to integrating them with watsonx Orchestrate for robust workflows.

Learn how to build agentic, no‑code workflows on watsonx Orchestrate with forms, document extraction, and generative AI prompts—no programming required.

Learn to build context-aware AI agents using watsonx Orchestrate and Astra db with vector search, embeddings, and automated data retrieval.

Follow a step-by-step guide to install the ADK, set up your local development environment, and deploy your first agent to a watsonx Orchestrate SaaS instance, so you can start building flexible, reusable AI agents right away.

Learn to integrate MCP with watsonx Orchestrate Developer Edition using Docker Compose to build, test, and monitor AI agents in a local environment.

Learn how to build a Language Advisor agent with Langflow, Ollama’s Granite 4.0 Micro model, and IBM watsonx Orchestrate. Detect code language, fetch best‑practice guides via web search, and deliver concise, actionable summaries all on‑premise and governed.

Learn how to deploy MCP tools on watsonx Orchestrate by using MCP Gateway, ensuring secure, centralized access for multiple agents and workflows. Learn how to deploy MCP Gateway on IBM Code Engine and then integrate your MCP tools into agents built on watsonx Orchestrate.

This learning path gives you an understanding and working knowledge of watsonx Orchestrate. After introducing multi-agent orchestration using watsonx Orchestrate, it provides hands-on guides for developing agents with no code or by using the Agent Development Kit (ADK).

Learn to automate IBM Maximo workflows using Python and watsonx Orchestrate ADK. Fetch assets, create service requests, and streamline Maximo tasks efficiently.

Learn how to use external LLMs with watsonx Orchestrate AI Gateway, which allows for more flexibility and choice in building AI-powered agents.