Repo: https://
github.com/langchain-ai/d
eepagentsjs
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Youtube Video:
OPEN SOURCE
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DeepAgentsJS Repository and YouTube Video Released
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Open-Source Resources Disrupting AI Education
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This list makes most $2,000 AI courses look embarrassing. Open-source is eating education.
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100+ Free AI Agents and RAG Tutorials Released
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Stay tuned for more such interesting posts → @Saboo_Shubham_ I have created 100+ AI Agents and RAG tutorials, 100% free and opensource. P.S: Don't forget to star the repo to show your support
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Open Source GUI for Claude Code AI Agents
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This guy literally built a GUI for Claude Code.
— Shubham Saboo (@Saboo_Shubham_) 18 août 2025
You can create custom AI agents, run background tasks, manage MCP servers, track usage and more.
100% free and Opensource. pic.twitter.com/2Bs3ixcgXqThis guy literally built a GUI for Claude Code. You can create custom AI agents, run background tasks, manage MCP servers, track usage and more. 100% free and Opensource.
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Google Releases Gemma-3-270M Lightweight Open Model
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Google just dropped a new light-weight 270M model! Gemma-3-270M is a lightweight, open-weight LLM that's perfect for task-specific fine-tuning with strong instruction-following. This notebook explains how to build Gemma-3-270M from scratch using PyTorch, step by step.
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Video-RAG: Training-Free Retrieval for Long-Video LVLMs
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📢☑️Video-RAG: Training-Free Retrieval for Long-Video LVLMs
— Satya Mallick (@LearnOpenCV) 18 août 2025
In this week’s deep dive, we implement Video-RAG as a training-free, single-pass pipeline and integrate it with LLaVA-Video-7B (Qwen2, 32K context), without APE – to keep things reproducible on today’s stacks. We enable… pic.twitter.com/ZVNMVXr0WQ-RAG: Training-Free Retrieval for Long-Video LVLMs In this week’s deep dive, we implement Video-RAG as a training-free, single-pass pipeline and integrate it with LLaVA-Video-7B (Qwen2, 32K context), without APE – to keep things reproducible on today’s stacks. We enable
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LFM2-VL: New Open-Source Vision Language Models Released
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Demo and code made by Tarek Dakhran. Credit to @ngxson for his incredible help with llama.cpp, and to Anna Banaszak for leading the VLM project! LFM2-VL-1.6B-GGUF: https://
huggingface.co/LiquidAI/LFM2-
VL-1.6B-GGUF
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LFM2-VL Support Added for GGUF and llama.cpp
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LFM2-VL support with GGUF and llama.cpp 🥳
— Maxime Labonne @ ICLR (@maximelabonne) 18 août 2025
You can now run these tiny, hyper-efficient VLMs on your watch!
We released quantized checkpoints for LFM2-VL-450M and LFM2-VL-1.6B on @huggingface pic.twitter.com/DfK3p1MA08LFM2-VL support with GGUF and llama.cpp You can now run these tiny, hyper-efficient VLMs on your watch! We released quantized checkpoints for LFM2-VL-450M and LFM2-VL-1.6B on @huggingface
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JAX adoption challenges: GPU and TPU experience insights
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the jax topic didn't even come to my table (I'm also out on leave). afaik the biggest pushback to using jax came from msl folks who had to use jax+gpus in their previous place of employment and didn't think it was great on a few important dimensions.
the jax+tpus experience -
Cornell McGill Study Tracks Evolution Open Source AI Projects
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A fascinating study from researchers at Cornell and McGill universities examines the evolution of thousands of open source AI projects hosted on HuggingFace.