Unit 7 · Give agents memory and orientation

Recall the right facts when needed

You load task-relevant facts from a local catalog or external search only when needed. recall() makes the selected memories available on the next actor turn.

recall()8 focused minutesNot started

Worked example

See the idea in context

auto assistant = axllm::agent(signature, axllm::object({
    {"memoriesCatalog", memories},
    {"skillsCatalog", skills},
}));

Run itIn your own project

include(FetchContent)
FetchContent_Declare(axllm GIT_REPOSITORY https://github.com/ax-llm/ax GIT_TAG main SOURCE_SUBDIR packages/cpp)
FetchContent_MakeAvailable(axllm)
target_link_libraries(your_app PRIVATE axllm::axllm)

#include <axllm/axllm.hpp>

auto llm = axllm::ai("openai", axllm::object({{"apiKey", std::getenv("OPENAI_API_KEY")}}));
auto classify = axllm::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 -- cpp src/examples/cpp/long-agents/codebase_peek_map.cpp

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