How to Build and Evolve a Custom OpenAI Agent with A-Evolve Using Benchmarks, Skills, Memory, and Workspace Mutations

The tutorial sets up a Colab environment and installs dependencies for running A-Evolve.

It clones the A-Evolve repository, configures an OpenAI client, and sets OPENAI_MODEL to gpt-4o-mini.

The guide creates a workspace with prompts, skills, memory, and tools, writes a manifest and a system prompt, and defines train and holdout datasets.

It implements a MiniTextBenchmark adapter to provide tasks and shows how to build an evolutionary agent pipeline in Colab.