deployment-time learning — 2 Technical Articles

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