
Research survey and repository documenting self-evolving AI agents that can improve their models, memory, tools, and architecture over time. Covers reward-based evolution, demonstration learning, and population-based methods across various domains.
Prices and medians update for the tier you select.
Ranked by how closely each one matches Self Evolving Agents's job. Prices show each provider's Pro state; entry prices are labelled as such. Unpriced products still belong to the market.
Market = the products most similar to this one by capability; prices are median / quartiles over its priced members, separated by provider type and buyer tier.