Open-source LLMs as LangChain Agents

Introducing Agents.js: Give tools to your LLMs using JavaScript

Introducing AnyLanguageModel: One API for Local and Remote LLMs on Apple Platforms

Understanding and Implementing Qwen3 From Scratch

A Detailed Look at One of the Leading Open-Source LLMs

Components of A Coding Agent

How coding agents use tools, memory, and repo context to make LLMs work better in practice

Consilium: When Multiple LLMs Collaborate

Seven Security Challenges in Cross-domain Multi-agent LLM Systems

arXiv:2505. 23847v5 Announce Type: replace-cross Abstract: Large language models (LLMs) are rapidly evolving into autonomous agents that cooperate across organizational boundaries, enabling joint disaster response, supply-chain optimization, and other tasks that demand decentralized expertise without surrendering data ownership.

Open-Source Text Generation & LLM Ecosystem at Hugging Face

Seven Security Challenges That Must be Solved in Cross-domain Multi-agent LLM Systems

arXiv:2505. 23847v4 Announce Type: replace-cross Abstract: Large language models (LLMs) are rapidly evolving into autonomous agents that cooperate across organizational boundaries, enabling joint disaster response, supply-chain optimization, and other tasks that demand decentralized expertise without surrendering data ownership.

CodeGemma - an official Google release for code LLMs

LLMs help robots understand vague instructions and focus on key details

To help robots do chores in places like homes and factories, a new approach from MIT uses one language model to clarify users’ instructions, then another to ignore irrelevant info.

Build an LLM Agent That Can Write and Run Code

A hands-on walkthrough of code execution with the OpenAI Agents SDK and Docker The post Build an LLM Agent That Can Write and Run Code appeared first on Towards Data Science .

Introducing the Open Leaderboard for Hebrew LLMs!