Meeting Prep Agent A smart calendar assistant that automatically researches attendees and companies, delivering meeting insights through a modern React/FastAPI interface. Built with LangGraph for sophisticated agent workflows and live reasoning. Check it out here
CODE
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n8n Full Demo for Building AI Agents Released
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Nate just dropped the full @n8n_io demo on YouTube – super useful if you’re building AI agents!
↳
https://
youtube.com/watch?v=vVdS-Z
EFf50
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Build a Video Summarizer App with Gemma and Ollama
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Build a Summarizer with Gemma Build a video summarization app using Gemma LLM through Ollama locally. This Streamlit application uses LangChain to process videos and generate concise summaries automatically. Watch the full tutorial here https://
youtu.be/gDATAZEi5SE -

Curiosity: Open Source ReAct Chat with LangGraph Streaming
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Curiosity: Open Source ReAct Chat A Perplexity-style interface showcasing LangGraph's ReAct capabilities with real-time streaming, Tavily search, and LangSmith monitoring. Supports multiple LLMs including GPT-4-mini and Llama3. Check out this ReAct chatbot
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Survey of AI Agent Protocols: Yang et al. Research
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A Survey of AI Agent Protocols Yang et al.: https://
arxiv.org/abs/2504.16736 #ArtificialIntelligence #DeepLearning #MachineLearning -
Hugging Face Tiny Agents: MCP-Powered Agent in 50 Lines
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More about @huggingface
's mighty Tiny Agents, an MCP-powered agent in 50 lines of code: -
Hugging Face MCP Client for Local Model Integration
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code: “`
ENDPOINT_URL=http://localhost:1234/v1
npx @huggingface/mcp-client
“` hat tip by @julien_c
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Running Tiny Agents Locally with Qwen and Hugging Face
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Fully local AI is a game-changer! You can now run Tiny Agents completely locally with @huggingface mcp-client in huggingface.js. If you have @Alibaba_Qwen Qwen 14B (e.g. via @lmstudio
) or any tool-compatible model, just run this (code in ) -

Run Tiny Agents Locally with Qwen3 and MCP Client
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Thanks to the community, you can now run Tiny Agents (powered by @huggingface mcp-client in huggingface.js) fully local If you have Qwen3 14B running locally (in LM Studio for instance) – or any other tool-compatible model – just run this:
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Xiaomi Releases MiMo-7B Language Model for Advanced Reasoning Tasks
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6. MiMo-7B Xiaomi releases MiMo-7B, a new language model for reasoning tasks. MiMo-7B is explicitly designed for advanced reasoning across math and code.
