What are AI agent components?
Every AI agent, whether built in Lindy, Gumloop, Zapier Agents, or Offsite, is made of the same five pieces. A goal tells it what to do. A brain (the AI model) decides each step. Tools are the apps it can touch. Memory is what it remembers. Guardrails are the rules it cannot break.
What an AI agent is made of
An agent looks complicated from the outside, but it has five parts. Once you can name them, every no-code agent platform stops feeling like a black box. Each platform exposes these five as panels or fields you fill in.
The five components
- Goal. One sentence describing what you want done. "Triage every email in support@ and draft a reply." If the goal is fuzzy, the agent wanders.
- Brain (the AI model). The model that reads the situation and picks the next step. Usually Claude, GPT, or Gemini. You pick it from a dropdown.
- Tools. The apps the agent can actually touch: Gmail, HubSpot, your calendar, Notion, Slack. Without tools, the agent can only talk. With tools, it can act.
- Memory. What the agent remembers from earlier steps or earlier runs. A receipt-sorting agent needs to remember which folder it just put the last invoice in.
- Guardrails. The rules about what it cannot do. "Never email a customer without my approval." "Never spend over $50." Most platforms call these app rules, approvals, or checkpoints.
When you'd use this
When you compare Lindy against Gumloop against Offsite, you are really comparing how each platform exposes these five panels. If a platform hides one (say, no clear memory panel, or guardrails buried in settings), that is the part that will bite you in production.
Last updated: May 20, 2026