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@FeitengLi: Built a ReAct agent system by hand: Doing agent systems with LLMs. While walking this evening, I was thinking about how to train an LLM's agentic capabilities, data preparation, model training, constructing RL training with agent trajectory actions, and also about Claude's progress over the past year…

X AI KOLs Following · 2026-05-20 Cached

The author shares their experience building a ReAct agent system and introduces the GLM-5 technical report released by Zhipu AI, which achieves breakthroughs in agentic, reasoning, and coding capabilities.

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#react-agent

FORGE: Self-Evolving Agent Memory With No Weight Updates via Population Broadcast

arXiv cs.AI · 2026-05-18

FORGE is a protocol that enables LLM agents to evolve their memory via population broadcast without weight updates, converting failed trajectories into reusable knowledge artifacts. It significantly improves performance on the CybORG CAGE-2 network-defense task over zero-shot and Reflexion baselines across multiple LLM families.

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