OpenAI · Hugging Face
Build real agentic apps tapping CUGA: two dozen working examples on a lightweight harness
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★ Tier-1 Source
Most agentic apps start with a week of plumbing before the agent does anything useful.
Key facts
- The capabilities the apps reach for over and over, web search, Wikipedia/arXiv, geocoding and weather, finance quotes, and a few more, live in 7 public MCP servers (36 tools) hosted on IBM Code
- Here's the IBM Cloud advisor, an agent that recommends real IBM Cloud services for an architecture
- That's an Intent Guard, one of six policy types, each answering a question a team asks before letting an agent loose
- It's the open-source agent harness from IBM that handles the planning, the execution loop, the tool calls, and the state plumbing for you
Summary
It's the open-source agent harness from IBM that handles the planning, the execution loop, the tool calls, and the state plumbing for you. What's left is the part that's yours: which tools the agent can reach, and what you tell it to do. This article walks through one of them, names what the harness takes off your plate, and shows where the same code goes when you need it governed for production. The fair question to ask of anything in this space is what it saves you from writing. It plans before it acts, then executes with a mix of tool calls and generated code (CodeAct).