Unit 7 · Give agents memory and orientation

Stop re-exploring the same codebase

You give an agent a compact, persistent map of a recurring corpus. It begins oriented while still checking current evidence for each task.

AxAgentContextMap8 focused minutesNot started

Unit example (nearest native match)

See the idea in context

AxAgent analyst = Ax.agent(signature, Map.of(
    "contextFields", List.of("codebase"),
    "contextPolicy", Map.of("preset", "adaptive", "budget", "balanced"),
    "contextMap", Map.of("maxChars", 1800, "infiniteEvolve", false, "evolveSteps", 1)));

Load prior orientation
savedSnapshot carries useful structure learned on earlier successful runs.
Keep the map compact
maxChars bounds what is injected into the agent context.
Use it as a guide
The map points the agent toward evidence but never replaces current source.

Run itIn your own project

// Gradle (build.gradle):
implementation 'dev.axllm:ax:22.0.4'
// Maven (pom.xml):
<dependency>
  <groupId>dev.axllm</groupId>
  <artifactId>ax</artifactId>
  <version>22.0.4</version>
</dependency>

import dev.axllm.ax.Ax;

var llm = Ax.ai("openai", Map.of("apiKey", System.getenv("OPENAI_API_KEY")));
var classify = Ax.ax("review:string -> sentiment:class \"positive, negative, neutral\"");

Set OPENAI_APIKEY in your environment before running provider-backed code.

In the ax repo

From a clone of the ax repo:

npm run example -- java src/examples/java/long-agents/CodebasePeekMapExample.java

Active practice

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Answer 2 in a row to learn this · attempt 1

Keep exploring

See the idea in context

Show that you can use it

Source-backed follow-up