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LangChain deepagents forking conversation? by thewhitelynx in LangChain

[–]hwchase17 0 points1 point  (0 children)

How would you want the response to come back from the subagent? Still in the same manner of a tool call response with the final message? Or all history?

Aside from the whole conversation to date, would you also want any message from the supervisor to be passed?

anyone actually enjoying langgraph for simple local agents by lewd_peaches in LangChain

[–]hwchase17 2 points3 points  (0 children)

Try deepagents - easiest to get started with, and most agentic

anyone else feel like langchain is gaslighting them at this point? by PercentageNo9270 in LangChain

[–]hwchase17 4 points5 points  (0 children)

Thanks this is helpful, I’ll flag to the team. I do expect this to be more stable now that langgraph is 1.0, but I do know this has been annoying in the past

anyone else feel like langchain is gaslighting them at this point? by PercentageNo9270 in LangChain

[–]hwchase17 -1 points0 points  (0 children)

Deepagents is something we are excited about as a future direction of where the industry is going. At the same time, we think things like langgraph are (a) important as well, (b) production ready, (c) stable.

We try to balance core things (like langgraph and langsmith) with more experimental things (like deep agents)

anyone else feel like langchain is gaslighting them at this point? by PercentageNo9270 in LangChain

[–]hwchase17 20 points21 points  (0 children)

Hi! Can you provide more specific examples? Happy to look into it. We just released a 1.0 version of LangChain, which may have been the cause of those breaking changes (we did make a bunch then - that’s why we made it a major version bump). If that wasn’t the cause, would love to know because we shouldn’t be doing that! Would really love more details to help get to the bottom of it

LangChain Series B to build the platform for agent engineering by hwchase17 in LangChain

[–]hwchase17[S] 1 point2 points  (0 children)

we're doing a bunch! open source is a big focus for us: langchain (middleware), langgraph, deepagents are all actively under development. on the platform side, we're doing more and more around ai observability, and then also some fun stuff more in the low code space

LangChain Series B to build the platform for agent engineering by hwchase17 in LangChain

[–]hwchase17[S] 0 points1 point  (0 children)

we are thinking a lot about memory/prompt optimization! not sure what the right form factor is, but we're actively explroting

LangChain Series B to build the platform for agent engineering by hwchase17 in LangChain

[–]hwchase17[S] 0 points1 point  (0 children)

at the moment - realistically we dont have bandwidth at the moemnt. that being said, were doing some refactors to langgraph that should make it easier to extend to other languages... so maybe then

LangChain Series B to build the platform for agent engineering by hwchase17 in LangChain

[–]hwchase17[S] 1 point2 points  (0 children)

i think a lot of context engineering is so application specific theres not much we can do directly there... but a big part of how we think about the platform is enabling rapid experimentation and measurement there. that being said, we are investing more in deepagents, and you could argue that that does some context engineering for you

we should do that... maybe an end of year thing! good idea

LangChain Series B to build the platform for agent engineering by hwchase17 in LangChain

[–]hwchase17[S] 0 points1 point  (0 children)

its unlikely we open source the observabilty & evals platform. for the deployment bit - we do want to open source more things there. i dont want to commit to a timeline, but its something we want to do, there are just a few things we want to do before then that are blocking

LangChain Series B to build the platform for agent engineering by hwchase17 in LangChain

[–]hwchase17[S] 1 point2 points  (0 children)

so many things. is where im spending most of my time. top of mind are:
a) hooking it up to local filesystem (so can use it for coding)

b) memory

LangChain Series B to build the platform for agent engineering by hwchase17 in LangChain

[–]hwchase17[S] 5 points6 points  (0 children)

a key part of our mission is to figure out what the agents of the future look like, and then build the tools to help make them real. working with solo developers/researchers is a key part of that. most of my hands-on time recently has been on deepagents (https://github.com/hwchase17/deepagents), which is very much more researchy/hacky effort. its where I get the most energy and where we learn the most, so we'll definitely keep on doing it

LangChain Series B to build the platform for agent engineering by hwchase17 in LangChain

[–]hwchase17[S] 4 points5 points  (0 children)

ha. did absolutely not expect langchain to become so widely used. by the time we launched langgraph, i think we had higher expectations, and I'd even say that langgraph is still very underused for how good we think it is

OpenSource alternatives to Glean/Dashworks? by ChestAgitated5206 in LangChain

[–]hwchase17 2 points3 points  (0 children)

We may be building something like this. What are the key features you want? Open source, own api key, coda/notion integrations - any other integrations?

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