hackhaton-space-stackHackhaton Space Stack
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Building With AI

$defineagents-sdk--plain-english

Agents SDK

TLDRA starter kit for building your own AI worker.

An Agents SDK is a prefab workshop: the benches are already bolted down. You walk in and hang the job on the wall.

You are not training a model. You are assembling a harness — the loop, tool calling, a place to remember step one when you hit step four, guardrails that do not trust "please don't delete." OpenAI, Anthropic, the Vercel AI SDK: different boxes, same shop.

Building that from scratch is days of plumbing before the idea. The kit hands you:

  1. The loop. Step, check, step again. That is what makes a worker, not a chatbot.
  2. The wiring. Call an API, run a command, send the mail.
  3. The clipboard. Enough memory that the run has a plot.
  4. The fences. Ask before refunds. Stay on this task.

You may not need one

If all you need is "scaffold this stack," install the plugin or point an existing chat app at npx create-hackhaton-space-stack@latest mcp. The agent is already housed. The tools are already a menu. Reach for an SDK when the worker is the product — a support bot that is your app, a voice line, a research runner you ship.

The kit is a frame, not a trustworthy employee. Tightening the rails, picking the tools, watching the first dozen runs: still yours.

What this unlocks

The machinery stops being the project. The mission starts. Teams that look like they "built an agent" usually opened a kit, described a job, and plugged in their windows.

The kit handles the shop. You bring the work order.

Related

  • Agent
  • Tool Calling
  • MCP
  • Harness
PrevComputer Use

Building With AI

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