How is Auto-GPT different from LangChain

[andyxinyuwu]

Hi, I am working on a chat-based product that helps people develop business ideas. Correct me if I miss something, but I find that Auto-GPT is similar to LangChain in some ways. e.g. you can also add some tools like google and json parse as part of the agents in LangChain and build something similar to Auto-GPT. I am trying to decide which one to use. What are the main differences between these two? Thanks!

[aliasfoxkde]

I could be wrong, but from my understanding it's different in that while it creates agents, AutoGPT executes codes and commands. While the concepts are similar, LangChain is basically just reasoning. So I think LangChain in conjunction with Reflextion is quite good at deducing steps in a plan, Auto-GPT isn't quite as strong at this. From my testing, Auto-GPT gets stuck in logic loops, repeats steps, and goes down these "rabbit holes". It's a great project and idea, but it could benefit greatly from say the implementation of BabyAGI (which uses LangChain and is a "better" reasoner, but can not execute code).

[andyxinyuwu]

Very cool. Thanks for providing more context!

[GoMightyAlgorythmGo]

There is more potential in this than just reflection. Cooperating/talking chatGPT/LM models or justcom promt systems:

1. Answer in this way: [x here] then you say [y here] then you combine them [here] and then [critisise] and then [think about how much it would cost] then [what would be the first step to do so?] and then [think what that first step to do so would mean] -> [think what that would take] -> [list possible ways] then [combin 1 + 2 + 3 and if not possible go to A2] A1 [bla bla] A2 [go to txt file 4 and follow instructions/step by step workflow]

Stuff like that is underused since only excessively working memory / magically motivated lucky people seem to very slowly work on things. And many people seem to not care at all about making quick progress as you can see from the "lets pause ai development for 6 month" thing. Altho probably lots of "lets pause out the competition right now since it is good for us" maybe or "crazy 5 iq people will flood us with regulations soon" or "i dont want the world to change i am comfortable even if it is massively positive change, the little people have no power i will be fine, they dont even know" (Damn i seem quite incessant on repeating that today...) could be many things. crony capitalism / structures is quite high up in my opinion.

Basally im grateful and things probably more than apparent, Thanks for your post it has interessting ressources in it and i love that kinda stuff. The self-reflection and chain of thought, adaption and other clever systems lovely! Even without the machine learning stuff on top. 😻

[aliasfoxkde]

Lol, yeah I agree. I personally think it's a naïve notion anyways. There's no way to slow down AI development at this point, they've already opened the proverbial Pandora's Box and there's no closing it. I mean, even if academia takes a break, companies and individuals will continue to develop. Then there's those that will say they'll slow down but just keep things behind closed doors (as is no doubt already the case). Not even to mention ulterior motives of certain groups saying one thing and then doing another. The AI arms race for AGI is on!

[GoMightyAlgorythmGo]

Now let me tell you way more than you'd wanna know:
That would even be worse that would be the kinda "lets keep the technology for us so we have no competition or open source to fear". Eventho democratization of things has always been good so far. As a rich/powerful person you where always better off except when you did not see it coming and did not embrace and try to help it even be the frontrunner on the wave but try to fight against it (maybe selfishly or because tired) of course structural change can take us all for surprise. That is why it is always a good idea to cooperate and to diversify your portfolio literally and figuratively. Keeping eye on philanthropic' s is not solely good, but also wise.

[Croccodoyle]

"As a rich/powerful person you where always better off except when you did not see it coming and did not embrace and try to help it even be the frontrunner on the wave but try to fight against it (maybe selfishly or because tired) of course structural change can take us all for surprise." Exactly that - key players e.g. Musk are asking for a pause so they can figure out how best to commercialise it....

[minaadel]

I'd like to add my two cents to your question, please be advised that my first interactions with both LangChain as well as AutoGPT are both barely a week old, so excuse me if my analysis proves to be lacking in certain respects, I'm willing to be corrected :)

AutoGPT

I'd characterize the AutoGPT project as a set of set of scripts that (initially-)sprung from the efforts of the project author to develop an Autonomous Agent that runs along what's known as an OODA loop (Observe, Orient, Decide, Act) on top of the openAI interface, with the (presumable-)goal of testing out just how far the Agent operating on this principle could come from the initial user-prompt ("Your are X-GPT and your goals are 1---5")

Given a very specific prompt, the Agent is instructed to act as autonomously as possible, while noting its observations, listing the steps it is planning ahead, and even providing self-criticism of its actions and reasoning.

To achieve its the abstract goals that the person running the code may ask of the AutoGPT Agent, the Agent needs to be able to perform actions such as Searching Google, or Writing to File, or Evaluating Code, etc. The AutoGPT project has integrated logic that allows the Agent to perform these actions.

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LangChain

LangChain, on the other hand, is not a single-purpose project to develop a particlar Agent or so, but is rather a Framework meant to allow developers to develop differing end-applications that make use of LLMs by providing standardized abstractions that allow entire ecosystems of components to work together cohesively and in a hassle-free manner to achieve the developers end goal.

Using LangChain, developers can build a wide range of applications, from simple, single prompt queries, to complex, dynamic loops that interface with memory stores and/or databases, have access to tools that can execute/query arbitrary functions.

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In my own opinion, if you are looking to develop your own application that you would like to have fixed application logic of some sort, I'd say that LangChain is the way to go.

[andyxinyuwu]

Thanks for the thorough answer!

[kenster99]

I'm still gettting a handle on the full capabilities of both Langchain and autogpt but it seems like there's value is using Langchain as an AI app constructor to autoGPT. Imagine giving the goal to autogpt to create an AI application using langchain that does x, y, z. TBH, the reason I got here was because I wanted to use a different (local) LLM with autogpt and thought about using langchain as an adapter somehow.

[zhaoxin]

IMHO, LangChain is about process with control, while Auto-GPT is about result without control. LangChain is crazy, while Auto-GPT is insane.

[andyxinyuwu]

Thanks guys for the discussion! The summary is that LangChain is better if you need to build your own application and control the process while AutoGPT is more about having autonomous agents.

[cooltheobob]

So what about Langchain + AutoGPT?