- 23comments
- 156comments
- 133comments
- 10comments
- 794comments
- 86comments
- 3comments
- 1022comments
- —discuss
- 47comments
- 39comments
- 2comments
- —discuss
- 127comments
- 23comments
- 32comments
- 256comments
- 411comments
- 225comments
- 541comments
- 169comments
- 62comments
- 524comments
- 156comments
- 31comments
- 52comments
- 115comments
- 99comments
- 404comments
- 301comments
TIL people still fall for eh I mean use Langchain. Sorry, low value comment; I don’t know how to do that differently; it is such bad garbage since day one and strangely it did not improve. Sorry anyway for the comment, at least it was not LLM generated?
Yes, I also thought it's crap the moment I saw they need langchain to develop a harness.
To make your comment more high value, could you explain why you think langchain is bad?
It (and most other systems) abstract the wrong concepts when you want to create an agent. They promote what was likely never a great strategy but even parsimoniously what are strategies that were good ideas months or a year back.
For example how langchain or whatever else handles subagents and deep research is laughable even today.
So whats the recommendation? Just use pydantic and code everything up yourself. Maybe strands I dont know.
Instead of spending half the comment reflecting on your post why not point out what you don’t like about it or some better alternatives?
I have a hard time keeping up with the space. Is langchain old news? Is there a page that kind of shows what the status quo for tooling is?
+1 would love to know as well. I have generally found the open source space to be lacking in this area and hoping it catches up!
There's like 1000 langchain alternatives and none are good, they're all vibe-coded unstable projects.
I use Apache Burr but it's not as good as LangChain. I just don't want to use software whose website has a pricing page if it's not a SAAS.
Ahhh I built an internal set of agents to run our company (finances, all info in the karpathy-style LLMWiki and a database of clients, contracts, billing, time tracking, all managed by MCPs, etc) and it's also called Kai (company name is Kaizen)
Happy to be in such good company!
All hand written or did you have any underlying libraries that you used?
But no darkmode support? … :D
I read a buzz word "Knowledge AI Platform" but I did not see any specific feature helpful for knowledge management like verification or transparency. It is more like any generic Agent builder. Maybe it meant to justify building something internally.
This site could use a bit more line height, more paragraphs, or less text overall.
Somebody probably mentioned this already or maybe its just me but: The "endless scroll" this page does is neat, to say the least.-
I just hear Steve Ballmer yelling
[Bad mental image ... can't unsee ...] :)
oh not these guys again. These are just so idiotic.
Spotify built some nonsense like this too and made ridiculous claims that it saves 90 percent of tokens. I guess anything goes these days.
They don't really say why they built their own rather than using one of the open source solutions like https://github.com/bionic-gpt/bionic-gpt
Size and scale, I would think. An out of the box solution probably doesn't quite have the same capabilities as something they can (and now have to) manage in it's entirety.
Stripe probably WANTS to be opinionated about how their company works with the tools.
so is it like CloudflareOS ? https://github.com/cloudflare/cloudflare-os
seems every company that has spare engineering resource all builds such thing internally
Dammit, I just named my newborn son Kai.
Very cool demonstration of managed agents built for the needs of their own business.
I think this is where a lot of companies are going to go: on-prem platforms that give various teams access to agents that are as powerful as coding agents, but much more managed and governed.
I'm betting on this with my open source project, Lightspeed: https://github.com/smartcomputer-ai/lightspeed
Dang it, I just named my newborn son Kai. At least I didn’t go with Alexa..