LangChains create-agent is a super minimal agent sdk If you want a more batteries included – that’s deepagents Middleware lets you extend both of them and customize behavior in a more advanced way
@hwchase17
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Technology Solutions: Useful But Not Complete Answer
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They are good for some things for sure Will probably be a part but not the whole story
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Deepagents: LangChain Framework for Autonomous AI Agents
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Deepagents https://
github.com/langchain-ai/d
eepagents
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Open Memory Standards for AI Agents and Best Practices
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Directionally correct Open memory standards will need to emerge But it’s so early right now. We’re still just figuring out what best practices are. And so a lot is at the mercy of harnesses Agents.md and skills are great start though
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Open Memory Standards for AI Agents Emerging
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Directionally correct Open memory standards will need to emerge But it’s so early right now. We’re still just figuring out what best practices are. And so a lot is at the mercy of harnesses Agents.md and skills are great start though
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Systems require continuous learning for improvement
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Totally agree about the whole system needing to continually learn
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Open Standards Needed for AI Development Progress
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Agree. It’s still early but at some point need open standards
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Building Custom AI Harnesses with LangChain and LangSmith
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not for this. if you wanted to roll your own harness, could build one on top of langchain and then use langsmith deploy for roughly the same experience. this is just packaged up more nicely
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Langgraph Agent Runtime with Durable Execution and Memory
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Langgraph is an agent runtime – so all the supabase snapshot ting you’ve been doing we do for you! As well as durable execution, long term memory
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Open Format Standards for AI Harnesses Development
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If there’s an open format that harnesses use (which right now there’s not)