Code Mala Tang

Mar 28, 2026 · Artificial Intelligence

How MiniMax M2.7 Achieves SOTA Agent Performance Through Self‑Evolving Loops

MiniMax M2.7 is a self‑evolving LLM that combines a persistent Agent Harness, multi‑level memory, and autonomous improvement cycles to reach SOTA benchmark scores, cost efficiency, and real‑world software‑engineering capabilities, illustrating the emerging skill‑economy of agent ecosystems.