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@caspar_br
Agents @LangChain. 🇦🇺
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LangChain says an Academy team member covers how Managed Deep Agents differ from Deep Agents and how to get started.
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A developer credits Slack's files API for making the file-sharing feature a joy to build.
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A post links to langch.in/openswe and suggests using the project rather than paying.
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A post says Context Hub can version skills and instructions, while DeepAgents manages the context window.
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A user posted the line with a langch.in/mda URL and a link to a video on X.
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LangChain's docs say developers define an agent's model, instructions, tools and skills without operating the server.
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A post says the feature lets agents remember the people they work with.
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A promotional post says developers bring instructions, skills, tools and a model, while Managed Deep Agents provides an agent server, session management, credentials and tracing.
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The service lets developers run agents on LangSmith infrastructure without managing servers or scaling themselves.
