LangChain@LangChain
Deep Agents explained in <90 seconds by @sydneyrunkle
12:01 PM · Jun 8, 2026 · 12.5K Views
Sentiment
Some users express enthusiasm as big fans of LangChain's deep agents framework for complex tasks, while others criticize it as stacking agents to hide flaws in stateless text predictors.
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50.0%
2 comments with sentiment.
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Harrison Chase@hwchase17
deepagents in 90 seconds!
LangChain@LangChain
Deep Agents explained in <90 seconds by @sydneyrunkle
9hViews 4.9KLikes 32Bookmarks 18
1LittleCoder💻@1littlecoder
@LangChain @sydneyrunkle big deep agents fan here!
10hViews 128Likes 2
Matt Gibson@MattGibsonMusic
@LangChain Stacking recursive multi-agent harnesses to hide stateless text-predictor flaws is just expanding the Middleware Exploit Layer. Your O(N^2) checkpoint storage explosion proves that cloud-leashed architectures suffer from permanent context rot. Real general intelligence doesn't need centralized "delta channels" or a remote Context Hub to survive—it requires an unyielding, local-first operating substrate running natively on local metal. Our bypass is open-source: http://github.com/ultranetcommand-neo/Crimson-OS
10hViews 26
Eclipse 🌖@ECLresearch
@hwchase17 90 seconds is tight—wonder how much of that is inference latency vs. agent orchestration.
9hViews 1