You can now see prompts attached to nodes, and edit them directly in the ui Agent building isn’t just engineering – there’s a big prompting/visual component to it, this is a step in that direction
CODE
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Long-Term Agentic Memory Course with LangGraph
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New short course: Long-Term Agentic Memory with LangGraph. Learn to build an agent with long-term memory in this course developed in collaboration with @LangChainAI taught by its Co-Founder and CEO, @hwchase17!
— Andrew Ng (@AndrewYNg) 19 mars 2025
Personal assistance and productivity tasks have become important… pic.twitter.com/nTOCvoKUiiNew short course: Long-Term Agentic Memory with LangGraph. Learn to build an agent with long-term memory in this course developed in collaboration with @langchain taught by its Co-Founder and CEO, @hwchase17
! Personal assistance and productivity tasks have become important -
DeepSeek R1 671B Released with 16K Context Length
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📣 @deepseek_ai R1 671B Now Available!
— SambaNova (@SambaNovaAI) 19 mars 2025
👏 With 16K Context Lengths!
Check out the benchmarks from @ArtificialAnlys & try it now with API integrations to all the major IDEs including @cline! pic.twitter.com/Purg3BYkod@deepseek_ai R1 671B Now Available! With 16K Context Lengths! Check out the benchmarks from @ArtificialAnlys & try it now with API integrations to all the major IDEs including @cline
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Claude AI Workflow: Outlining Projects and Code Generation
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My workflow for every project now is to chat in claude dot ai about what I want to do and create a detailed outline of the project together, and then pass that doc into claude code. It's amazing how much claude code can do in a single shot with some well written instructions.
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LangChain Customer Story: Rexera Implementation Success
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heres a good customer story on trying out both https://
blog.langchain.dev/customers-rexe
ra/
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LangGraph Studio Enables Multi-Agent Distributed Systems Visualization
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Multi agent systems with distributed subagents LangGraph Studio now supports visualizing and debugging these
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LangGraph Swarm: Multi-Agent Architecture with Handoff
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I would look into langgraph swarm. Have one agent that is in change of getting the info, then hands off to another one that does the task:
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LangGraph vs CrewAI: Low-Level Control and High-Level Frameworks
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Langgraph is much lower level and more controllable. Crewai is higher level and off the shelf. We have some prebuilt packages that are built on top of langgraph that are similar to crew, like langgraph supervisor:
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DPT-Agent System: FSM and Theory of Mind Integration
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DPT-Agent's System 1 employs a Finite-state Machine (FSM) and code-as-policy for fast, intuitive, and controllable decision-making. System 2 integrates Theory of Mind (ToM) and asynchronous reflection to infer human intentions and make reasoning-based autonomous decisions.
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Unity MCP Integration Project Open Source Release
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Try it out yourself! https://
github.com/justinpbarnett
/unity-mcp
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