We’ve invested a ton in education around building agents – check out our langgraph course: https://
academy.langchain.com Covers human in the loop, short and long term memory, react agents as well as build your own
@hwchase17
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LangChain Launches Comprehensive Course on Building AI Agents
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Framework Abstraction Debate: Comparing AI Development Approaches
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OP was promoting their own framework, which has **more** abstraction Lot of FUD out there
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LangChain Academy: Learning Platform for AI Development
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Have you tried https://
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Improving Developer Experience for Stream and Edge Nodes
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Okay yeah we want to make this better What is the ideal devx? We do stream nodes but you want the edge (what does that mean)? Why do you want upcoming nodes (and what does that mean?)
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LangChain maintains high issue ratio despite large star count
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fun fact, langchain has a super high ratio as well, despite a very high star count
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LangGraph: Production-Ready Agent Framework Low Level Control
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Because langgraph is a production ready agent framework… it’s very low level, highly controllable, no hidden prompts Helps you get to production without getting in the way, so high usage But a bit of a steeper learning curve (we’re working on that!) so less GitHub stars
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LangGraph Feature Discussion: Built-in Capabilities Analysis
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What exactly do you think it would improve about langgraph? We’ve already had this built in for a while
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LangGraph Persistence Layer: Universal Agent Framework Integration
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we've spent a lot of time on the langgraph persistence/state layer enables production ready short term & long term memory, checkpointing, human-in-the-loop, time travel, etc if we made this work with ANY agent framework (including DIY) would that be interesting to folks?