The missing piece here is observability. LangSmith and similar tools for debugging agent reasoning chains become critical when agents start failing in production.
The gap between 'tool stack for agents' and 'agents that actually ship' is where most projects die. Stack complexity scales faster than agent capability.
Awesome cheat sheet! This is going to be a huge help for my next project. Thanks for sharing!
This is a great overview! I'm particularly interested in the multi-agent collaboration tools. Have you found any of them to be particularly effective for complex workflows?
This is a fantastic breakdown of the AI agent stack! What are your thoughts on the role of decentralized AI in this ecosystem?
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