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 = agent(signature, {
    "contextFields": ["codebase"],
    "contextPolicy": {"preset": "adaptive", "budget": "balanced"},
    "contextMap": {"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

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