Do you want to build a financial analyst? Thank you @Sumanth_077 for this incredible step-by-step walkthrough using #Llama4 on SambaNova Cloud—multi-agent AI in action! Super slick stuff
AGENTS
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Alpha-AGI Agents: Montreal AI’s Open Source Agent Framework
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[ α‑AGI Agents ] GitHub: https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0/tree/main/alpha_factory_v1/backend/agents
… Made with by the Alpha‑Factory Agentic Core Team #AGI #AIAgent #AGIALPHA -
LangChain and UiPath Partner to Simplify AI Agent Deployment
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AI agents are reshaping enterprise automation—and we're thrilled to partner with @UiPath to make building, deploying, and observing them easier than ever. Read about their: Native LangSmith support in UiPath LLM Gateway LangGraph agent support via Agent Protocol &
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Agentic AI Self-Improvement and ASI Doom Skepticism
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Since agentic (~self improving) people seem to have a natural tendency to imagine what they would do if they became ASI, I am somewhat appalled of doomers
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New CodeLLM Release: Autocomplete, Agents, and MCP Improvements
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New CodeLLM Release Is Out – Autocomplete should be ROCKING
– Agents have become more bug-free – UX improvements to MCP Coming next week
– Accept all changes – Agent checkpoints and memory
– Better handling for large code bases ALL THIS COMES WITH ChatLLM AND DEEPAGENT -

MCP and CodeLLM: Building Features in One Shot
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See what you can do with MCP and a good coding agent combined. CodeLLM in action – build a feature request in one shot.
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Hugging Face’s smolagents: Tiny, focused agentic framework tackles complexity.
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The agentic framework of @huggingface
, smolagents, is the tinyest ever. It has fewer features than other frameworks -> that's exactly its goal. The main issue among agentic frameworks is complexity : they tend to pile up abstractions, trying to solve everything rather than being -

Building MCP Servers in Python: Best Practices
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Is this easiest way to build an MCP server in Python?
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DocentPro Uses LangGraph for AI Travel Planning System
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How DocentPro powers AI trip planning with LangGraph @docentpro_sf is building an AI travel assistant that helps users go from idea → itinerary → booking. Using LangGraph + LangSmith, they’ve created a modular multi-agent system that handles discovery, planning, and real-time
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Browser Use: AI Agents Web Integration with Python
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Make websites accessible for AI agents! Browser Use is the easiest way to connect your AI agents to the web with just a few lines of Python code. 100% Open Source