skill memory — 3 Technical Articles

Apr 28, 2026 · Artificial Intelligence

How MiniMax Drives Joint Evolution of Models and Harnesses

The article analyzes MiniMax’s strategy of co‑evolving large language models with a Harness framework, contrasting product philosophies, detailing a live MaxHermes demo that creates and refines reusable Skills, and explaining how this dual evolution reshapes the competitive focus from single‑turn Q&A to sustained, self‑improving agent workflows.

AI agentsHermesMiniMax

0 likes · 14 min read

How MiniMax Drives Joint Evolution of Models and Harnesses

AI Architecture Hub

Mar 25, 2026 · Artificial Intelligence

How Memento-Skills Enables Continuous Learning for Frozen LLM Agents

The article analyzes the limitations of frozen LLM agents—fixed parameters, loss of state, and costly fine‑tuning—and introduces the Memento‑Skills framework, which adds an external, evolvable skill memory to achieve deployment‑time learning, detailed architecture, optimization knobs, and strong experimental gains.

AI researchLLM agentsbehavioral routing

0 likes · 14 min read

How Memento-Skills Enables Continuous Learning for Frozen LLM Agents

Architect

Mar 22, 2026 · Artificial Intelligence

Can Frozen LLMs Keep Learning? Inside Memento‑Skills' Deployment‑Time Learning

The article analyses the Memento‑Skills paper and its open‑source implementation, showing how a frozen large language model can continuously improve by treating skills as external memory, using a five‑step Observe‑Read‑Act‑Feedback‑Write loop, advanced routing, and modular architecture to achieve significant gains on GAIA and HLE benchmarks.

AI ArchitectureAgentLLM

0 likes · 21 min read

Can Frozen LLMs Keep Learning? Inside Memento‑Skills' Deployment‑Time Learning