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. cpp academy academy/topics/memory-recall website/content-src/academy/course.mjs academy Recall the right facts when needed
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
cmake_minimum_required(VERSION 3.20)
project(ax_quick_start LANGUAGES CXX)
set(CMAKE_CXX_STANDARD 17)

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

add_executable(quick_start quick_start.cpp)
target_link_libraries(quick_start PRIVATE axllm::axllm)

#include <axllm/axllm.hpp>
#include <cstdlib>
#include <iostream>

int main() {
  auto llm = axllm::ai("openai", axllm::object({{"apiKey", std::getenv("OPENAI_API_KEY")}}));
  auto classify = axllm::ax("review:string -> sentiment:class \"positive, negative, neutral\"");
  auto result = classify.forward(*llm, axllm::object({
    {"review", "Useful and boring in the best way."}
  }));

  auto sentiment = axllm::Core::get(result, "sentiment");
  std::cout << "sentiment: " << std::get<std::string>(sentiment.data) << "\n";
}

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
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