How Hermes Agent Self‑Evolves: Memory, Skills, and Offline Training Pipelines

This article dissects Hermes Agent’s self‑evolution mechanism, explaining how stable facts are stored in memory, reusable procedures become skills, and rollout trajectories are turned into training data through background review, context compression, and OPD‑based token‑level distillation.

Agent ArchitectureContext CompressionHermes Agent

0 likes · 33 min read

How Hermes Agent Self‑Evolves: Memory, Skills, and Offline Training Pipelines

AI2ML AI to Machine Learning

Feb 24, 2026 · Artificial Intelligence

Optimizing Structured Processes in the Large‑Model Era: From Reasoning to Agentic RL

The article analyzes how large‑model development has moved from reasoning to the agentic stage, compares open‑source and closed‑source capabilities, details Reasoning RL versus Agentic RL designs, and proposes skill‑centric data and verification mechanisms to close the performance gap.

DeepSeekGLM-5Large Language Models

0 likes · 10 min read

Optimizing Structured Processes in the Large‑Model Era: From Reasoning to Agentic RL

dbaplus Community

Jul 16, 2023 · Backend Development

Why Tech Evolves Faster Than Programmers Learn and How to Beat the 35‑Year Crisis

The article explains that the core of the programmer's 35‑year crisis is the rapid pace of technological change outstripping learning speed, illustrated with backend sharding, frontend toolchain shifts, and AI advances, and offers practical advice to broaden skills beyond narrow tech stacks.

FrontendShardingbackend

0 likes · 8 min read

Why Tech Evolves Faster Than Programmers Learn and How to Beat the 35‑Year Crisis