nathan drezner
@ndrezn
PM @LangChain building Managed Deep Agents. I post demos, code, and what breaks. prev @plotly
nathan (at) drezner (dot) xyz
2.1K Following 588 Followers
most of the web has no API, just pages built for people clicking through them
so! we added a browser to Managed Deep Agents. and when a site wants a login, agents can hand over the window so passwords stay out of the model.
all built in with every MDA
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nearly every proactive agent you've seen is a cron job with a prompt
memory that "dreams" overnight, agents that ping you first. both are scheduled runs on a 50+ year old OS idea
how to build one with Managed Deep Agents ⬇️
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bet ya didn't know... Content Studio is a managed deepagent!!!
want your own content studio deployed in your organization?
git clone
mda deploy
boom
approve / reject isn't a question
sometimes your agent needs to actually ask you something. so let it: drop a few buttons in the slack thread ⏸️ keep going when you click ▶️
public beta in @LangChain Managed Deep Agents
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it's not easy to properly secure production agents!
we've spent a lot of time building great primitives for Managed Deep Agents to make agents you ship secure by default 🔐
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🔢 at @LangChain we've been putting a lot of thought into safe storage of user memories.
🔐 We wanted a secure way for a distributed agent to manage memory without it leaking outside of its intended context.
Here's a quick overview of the system and how to add user and agent memory to your managed deep agent - it's a single line of Python or TypeScript
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Browser use w/ @LangChain + @typesafeai's Jev! Really fun to build.
... I found it's excellent at playing the Wikipedia Game. (But, it's also great at "folding laundry" type tasks, like finding cheap flights.)
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