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Caspar
@caspar_br
Agents @LangChain. 🇦🇺
Joined June 2016
153 Following    2.4K Followers
good overview on the managed agents landscape by @Sam_Witteveen we've seen many major ai companies ship a managed agent product over the past few months. this space will only continue to grow exponentially langchain first built a managed agent product two years ago - langsmith deployment - a self-hostable runtime for agent workloads. LSD has evolved with our open source ecosystem and is used today for hosting anything from simple langgraph workflows to complex apps built on deepagents harness this space has come a long way in two years. managed deployment was the first step. the next is to give devs a complete foundation for their agents, so they don't have to assemble it themselves. that's why we built managed deep agents: you bring the the agent's intelligence (its instructions, skills, tools, model) and we provide a managed runtime (LSD agent server, session management, credentials, tracing) out of all the options listed below, MDA is the only one built on an open source harness. if you're building agents, see how much time you could save:
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