Data scientists gonna love this MCP server!
It can automatically generate high-quality synthetic data, evaluates it, and visualizes it for validation—all from the comfort of your Cursor IDE.
100% open-source, here's a step-by-step guide:
Here's an Mind-blowing innovation from @DeepMind! 🤯 Meet AlphaEvolve, a coding agent powered by Gemini that's designing advanced algorithms. This showcases the incredible potential of #AgenticAI#DeepMind#Gemini#AICoding#Algorithms#Innovation
https://t.co/xSxXUYQ9gk
👀 AG-UI (Agent-User Interaction Protocol) aims to standardize how AI agents connect to frontend applications. Could this be the key to seamless agent integration? Explore the possibilities on GitHub #AgentUI#AgenticAI#OpenProtocol#AI#Frontend
https://t.co/R3mdmR0jv9
We're launching Computer Use in smolagents! 🥳
-> As vision models become more capable, they become able to power complex agentic workflows. Especially Qwen-VL models, that support built-in grounding, i.e. ability to locate any element in an image by its coordinates, thus to click any item on a screenshot.
So we worked with @lvwerra and @micuelll to integrate Computer Use in smolagents. 🚀
Our Computer Use agent works wonders! I asked it how long the soldiers from Alexander had walked from their departure in Macedonia, all the way to India, when they decided they were too tired to continue. => It turns out, they had walked quite a bit!
Huge news for #AgenticAI interoperability! 🤝 Microsoft is adopting Google's standard for linking up AI agents. This could pave the way for a more connected and collaborative AI ecosystem. @TechCrunch: #AI#Microsoft#Google#Interoperability#AIagents
https://t.co/RreRAF3SUp
FYI A2A is:
- Simple: Reuse existing standards
- Enterprise Ready: Auth, Security, Privacy, Tracing, Monitoring
- Async First: (Very) Long running-tasks and human-in-the-loop
- Modality Agnostic: text, audio/video, forms, iframe, etc
- Opaque Execution
Discover how we're bridging the gap between opaque agentic systems with Agent2Agent Protocol (A2A)—an open protocol enabling Agent-to-Agent interoperability.
Check out the A2A documentation, here → https://t.co/i3KvSGWb8r
Why does your RL training always collapse?
In our new paper of RAGEN, we explore what breaks when you train LLM *Agents* with multi-turn reinforcement learning—and possibly how to fix it.
📄 https://t.co/mPOV6Zoer4
🌐 https://t.co/tYP03WLpGA
1/🧵👇
Build Agentic RAG without vector database or chunking.
PageIndex transforms PDFs into tree structures, preserving the original context, that AI agents can reason through like an intelligent table of contents.
100% free and opensource.
What a crazy week in AI 🤯
- Kling 2.0 AI video
- Canva Visual Suite 2.0
- Microsoft Copilot Vision
- Grok Studio and Memories
- ChatGPT 4.1, o3, & o4-mini
- OpenAI’s new coding agent
- ByteDance Seaweed AI video
- Claude Autonomous Research
Here’s EVERYTHING you need to know:
Just stumbled upon an absolute goldmine for #AgenticAI builders! 🔥 CopilotKit has put together 30 incredible MCP ideas, and the best part? They've included the complete source code! #MCP#AIagents#OpenSource#CodeExamples#BuildInPublic
https://t.co/DAvrYKfD25
Level up your #AgenticAI game! 🚀 This step-by-step guide from Composio dives into building MCP (Model Context Protocol) agents using the Langchain adapter. #Langchain#MCP#AIagents#AI#Developers
https://t.co/GUiQhR874m
Exciting developments in #AgenticAI . #NVIDIA blog highlights the discussions around AI reasoning at Google Cloud Next. A glimpse into the future of intelligent cloud applications! #AI#GoogleCloudNext#CloudAI#Reasoning#GCP
https://t.co/3PjJwJo1bU