1. Agentic RAG Build a RAG pipeline with agentic capabilities that can dynamically fetch context from different sources, like a vector DB and the internet. Check this out: https://
github.com/patchy631/ai-e
ngineering-hub/tree/main/agentic_rag
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OPEN SOURCE
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Building Agentic RAG Pipelines with Dynamic Context Retrieval
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Smart Health Agent: GPU-Accelerated Multi-Agent System for Real-Time Monitoring
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Smart Health Agent A GPU-accelerated multi-agent system providing real-time health monitoring with personalized insights. Built with LangGraph to orchestrate agents that process health metrics and environmental data. Check it out here https://
github.com/jayrodge/ai-ag
ents/tree/main/smart_health_agent
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Production-Ready AI Agents: A Practical Guide with LangGraph
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Agents Towards Production Nir Diamant just released a practical guide for building production-ready AI agents. This open-source playbook features tutorials using LangGraph for workflows and LangSmith for observability, plus essential production features. Check it out
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AutoAgent: Zero-Code LLM Agent Framework with Natural Language
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Build and deploy LLM agents just using natural language! AutoAgent is the Fully-Automated & Zero-Code LLM Agent Framework that let's you create and deploy LLM agents using just natural language. 100% Open Source
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Jules now supports AGENTS.md files
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Jules now supports AGENTS md file! So it can use information from this file in your repository as an additional context for coding tasks.
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Favorite Open-Source LLM Community Poll
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What’s your favorite open-source LLM these days? Drop your answer in the comments.
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PyTorch Training Resilience During Infrastructure Failures
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the model keeps on training even when the underlying infra keeps failing….out-of-the-box PyTorch
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Mistral Small 3.2 minor upgrade released
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Mistral AI released Mistral Small 3.2 with a minor upgrade for instruction following, repetition errors and function calling!
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AI Race Between US and China Is a Total War
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On parle souvent de course à l’IA. Mais en fait, c’est une guerre. Discrète, mais totale.
— VISION IA (@vision_ia) 20 juin 2025
USA contre Chine.
Modèles fermés contre open source. Puces, énergie, influence. Et tout s’accélère beaucoup plus vite que prévu. pic.twitter.com/DjdzBBedLAOn parle souvent de course à l’IA. Mais en fait, c’est une guerre. Discrète, mais totale. USA contre Chine. Modèles fermés contre open source. Puces, énergie, influence. Et tout s’accélère beaucoup plus vite que prévu.