Radar ·
Survey examines self-improvement in modern agents
Published on July 16, 2026, the survey defines modern agents and describes self-improvement as adaptation that can accumulate capability gains from experience.
The survey defines modern agents as foundation models coupled with operational scaffolds, which may include prompts, memory, and tools. Its subject is self-improvement: a form of adaptation that turns experience into accumulated capability gains.
The publication offers a system-level view to help engineers analyze where agent updates may occur and how to make adaptation controllable. To check its scope and details, consult the original survey, published on July 16, 2026, and compare its definitions and conclusions with the full text; the available summary does not specify experimental results.
Original source: Uma survey sobre autoaperfeiçoamento em sistemas agentic modernos