LLM memory Archive - Hey-GPT.de - Daily GenAI News Digest

If you've read my previous posts on ChatGPT memory, Claude memory, and OpenClaw memory, you already know I keep coming back to the same question: how do these agents actually remember? Hermes Agent

20. März 2026

GenAI Updates

I Read Hermes Agent’s Memory System, and It Fixes What OpenClaw Got Wrong

**I Read Hermes Agent’s Memory System, and It Fixes What OpenClaw Got Wrong** If you’ve…

3 months ago, I was rejected from a technical interview because I couldn’t build an agent that never forgets. Every approach I knew worked… until it didn’t. I walked into that room confident. I’d

18. Januar 2026

GenAI Updates

how to build an agent that never forgets

Rohit, in a recent thread, describes how a failed interview pushed him to rethink agent…

This workshop explores how Large Language Models (LLMs) manage knowledge, distinguishing between ephemeral context and persistent weights. It critiques current reliance on large context windows and RAG for "long-tail" knowledge due to cost and latency. The core argument advocates for efficiently injecting specific knowledge directly into model weights to improve performance for niche tasks.

8. Januar 2026

GenAI Updates

LLMs Explained: Context Stuffing vs. Updating Model Weights

A practical look at LLM memory: stuffing context vs updating weights If you’ve ever shoved…