Unit 7 · Give agents memory and orientation

Keep an orientation map up to date

You update and snapshot the map after successful runs, either indefinitely or during a warmup. Failed, aborted, and clarification runs leave it unchanged.

7 focused minutesNot started

Unit example (nearest native match)

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analyst = agent(signature, {
    "contextFields": ["codebase"],
    "contextPolicy": {"preset": "adaptive", "budget": "balanced"},
    "contextMap": {"maxChars": 1800, "infiniteEvolve": False, "evolveSteps": 1},
})

Run itIn your own project

pip install axllm

from axllm import ai, ax

llm = ai('openai', api_key=os.environ['OPENAI_API_KEY'])
classify = 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 -- python src/examples/python/long-agents/codebase-peek-map.py

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