# Teach it something

Source: https://www.hyperagent.com/docs/get-started/teach-it-something

> For AI agents: the documentation index is at https://www.hyperagent.com/llms.txt and the complete documentation in one file at https://www.hyperagent.com/llms-full.txt. Any docs page is also served as Markdown by appending `.md` to its URL.

Save your first memory and feel the product learning with you.

Your agent did the job, and somewhere in the thread you corrected it: the report should open with the number, the deadline is Thursday, the client's name is spelled Kaczmarek. Say it once more next week and you're training a goldfish. Save it, and you never say it again.

A memory is a fact the agent carries into every future run. Teach it the
things you're tired of repeating and each thread starts further ahead.

## Save your first memory [#save-your-first-memory]

In the thread where you made the correction, just ask:

```
Remember this: reports for the exec team always open with the headline number.
```

The agent posts a draft card showing exactly what it will save. Edit the wording if you like, then press **Save**. From now on, every thread with this agent starts knowing it.

## Or let the agent do the noticing [#or-let-the-agent-do-the-noticing]

Work naturally and the agent notices lessons on its own: corrections you made, preferences you stated, methods that worked. Its proposals appear as **Suggested learnings** under its replies, and nothing saves until you accept.



Methods can be saved too: a repeatable procedure becomes a **skill** any of your agents can follow. When the agent proposes one, accepting it builds the skill for you. [Skills →](https://www.hyperagent.com/docs/concepts/skills)

## Where this goes [#where-this-goes]

This loop, correct → save → never repeat, is the whole learning system in miniature. When you're ready to tune how much the agent learns on its own, or to review a queue of its proposals, the [Learning docs](https://www.hyperagent.com/docs/learning) cover it.

## FAQs [#faqs]

A memory preserves a fact, preference, decision, or piece of context: the client's spelling, the Thursday deadline, the way leadership wants risk framed. A skill preserves a method: the steps, format, decision rules, or script behind work the agent should perform the same way again.

No. A suggested learning is a draft until you accept it. If you later allow a trusted agent to save a learning type automatically, proposals of that type can become knowledge without review. See [Manage learning behavior](https://www.hyperagent.com/docs/learning/manage-learning-behavior) for those controls.

Its save destination decides. A shared memory can be available to your other agents; an agent-private memory stays with that agent. The agent's knowledge profile controls what it can read and where new memories land. See [Knowledge access](https://www.hyperagent.com/docs/concepts/agents/knowledge-access).

**Next:** the agent knows the job. Put it where the work happens. [Put it where you work →](https://www.hyperagent.com/docs/get-started/put-it-where-you-work)