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.
Agent architectureArtificial IntelligenceSelf-Improving Models
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