eve/docs/tutorial/remember-definitions.mdx

Filesystem-first framework for durable backend AI agents that run anywhere.

---
title: "Remember Definitions"
description: "Part 6 of the Build an Agent tutorial. Use defineState to remember the team's metric glossary across turns."
---

Every team has house definitions for the analytics assistant. "Active" means a purchase in the last 30 days, revenue is net of refunds, a "week" starts Monday. Re-explaining all of that on every turn is a waste. State gives the agent a place to keep them.

`defineState(name, initial)` creates a typed, named slot that survives across step and turn boundaries within a session. You read it with `get()` and change it with `update()`.

## Define the glossary slot

```ts title="agent/lib/glossary.ts"
import { defineState } from "eve/context";

export interface Glossary {
  readonly terms: Readonly<Record<string, string>>;
}

export const glossary = defineState<Glossary>("analytics.glossary", () => ({
  terms: {},
}));
```

## Tools to read and write it

```ts title="agent/tools/define_metric.ts"
import { defineTool } from "eve/tools";
import { z } from "zod";
import { glossary } from "../lib/glossary";

export default defineTool({
  description: "Record the team's definition of a metric so it persists across turns.",
  inputSchema: z.object({ term: z.string(), meaning: z.string() }),
  async execute({ term, meaning }) {
    glossary.update((g) => ({ terms: { ...g.terms, [term]: meaning } }));
    return glossary.get();
  },
});
```

```ts title="agent/tools/recall_metrics.ts"
import { defineTool } from "eve/tools";
import { z } from "zod";
import { glossary } from "../lib/glossary";

export default defineTool({
  description: "Read the team's recorded metric definitions.",
  inputSchema: z.object({}),
  async execute() {
    return glossary.get();
  },
});
```

## See it persist

```text
> For us, an active customer is one with a purchase in the last 30 days.
  Remember that.
  → calls define_metric("active customer", "purchase in the last 30 days")

> How many active customers do we have?
  → recalls the definition, writes the matching SQL, answers
```

The second turn is a separate turn in the same session, yet the definition is still there. State checkpoints at step boundaries, so it's the same durability from [Step 2](./how-it-runs), now applied to your own data.

State is scoped to a session and isolated per agent, so a subagent starts with fresh state and never sees the parent's. Need to reset something each turn? Call `update(() => fresh)` in a lifecycle hook. More in [State](../guides/state).

→ Next: [Team playbooks](./team-playbooks)

Learn more: [State](../guides/state)