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

analyst := axllm.NewAgent(signature, map[string]axllm.Value{
    "contextFields": axllm.Array("codebase"),
    "contextPolicy": axllm.Object("preset", "adaptive", "budget", "balanced"),
    "contextMap": axllm.Object("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

go get github.com/ax-llm/ax/packages/go

import axllm "github.com/ax-llm/ax/packages/go"

client := axllm.NewAI("openai", map[string]axllm.Value{"apiKey": os.Getenv("OPENAI_API_KEY")})
classify := axllm.NewAx("review:string -> sentiment:class \"positive, negative, neutral\"", nil)

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 -- go src/examples/go/long-agents/codebase_peek_map.go

Active practice

Show that you can use it

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