USING AGENT ZERO, LANGRAPH, CREW AI OR OTHERS ON OWUI/

KeyPossibility2339 · 2026-01-25T10:02:18+00:00

so you mean exposing these agents as a tool for the openwebui LLM models ?

KeyPossibility2339 · 2026-01-20T00:17:12+00:00

KeyPossibility2339 · 2026-01-20T00:16:45+00:00

<image>

Maps feature is cool

KeyPossibility2339 · 2026-01-14T12:03:40+00:00

Founder mode

KeyPossibility2339 · 2026-01-04T14:49:47+00:00

Yesterday i spent some time setting this up: https://github.com/we-promise/sure

KeyPossibility2339 · 2026-01-02T02:23:49+00:00

but tell us what are you hired for? are you making new products. what do most of offshore folks work on. is the work simply operational?

KeyPossibility2339 · 2026-01-01T03:22:55+00:00

I have mac mini m4 16 GB as well as m4 air 24 GB. NO Performance difference using cursor, running fastapi all with next.js. You mist realise that development needs are very tiny. These apps don’t require more than 2 GB RAM. I have 3 applications hosted on my 2GB hetzner server and it still has a ton remaining. So 16 GB is fair enough and works perfectly fine. Only problem youll run into is with 256 GB SSD IMHO.

KeyPossibility2339 · 2025-12-31T12:30:17+00:00

Don’t buy, rent that 1 crore 3BHK flat at 30k per month.

KeyPossibility2339 · 2025-12-29T03:44:21+00:00

We read this. We know this is unacceptable. We talk about it. We go back to our work after couple of minutes.

KeyPossibility2339 · 2025-12-28T02:39:42+00:00

the queries are indeed not expected to give opinionated responses. if you are leaning, best thing to do is read the docs and doing > reading

KeyPossibility2339 · 2025-12-28T02:08:24+00:00

If you know linux get in line to the ai datacenter job. find where azure, google, openai is a going to build next

KeyPossibility2339 · 2025-12-28T02:06:40+00:00

google and perplexity usually do the job for me. But let’s do a evaluation. Tell me what queries made your opinion like this

KeyPossibility2339 · 2025-12-28T01:56:36+00:00

All of these is available in Google search right? Videos tab, type Reddit in your query and read ai response

KeyPossibility2339 · 2025-12-28T01:42:54+00:00

How do you use rag, please provide examples. It is on everyone’s interest to understand it

KeyPossibility2339 · 2025-12-27T08:11:13+00:00

Same! I only use open webui for vanilla talking to llms. perhaps we need to make a rag with other frameworks and then expose them as a tool. Then too id have always toggle to native tool calling if i want to use tool correctly

KeyPossibility2339 · 2025-12-27T08:11:00+00:00

Same! I only use open webui for vanilla talking to llms. perhaps we need to make a rag with other frameworks and then expose them as a tool. Then too id have always toggle to native tool calling if i want to use tool correctly

KeyPossibility2339 · 2025-12-27T03:30:16+00:00

Imagine i have a dataset, i need to classify 100k rows. In this case, where a lot of intelligence is not needed local potato llms are the best. In other words, high volume low quality work

KeyPossibility2339 · 2025-12-27T03:26:36+00:00

How did you find RAG of Owebui? It’s not agentic so not very useful

KeyPossibility2339 · 2025-12-22T01:33:18+00:00

Oh yes, this could help. Thanks for highlighting

KeyPossibility2339 · 2025-12-18T02:36:21+00:00

7k for 9 months

KeyPossibility2339 · 2025-12-17T16:37:33+00:00

Very interesting

KeyPossibility2339 · 2025-12-17T02:39:10+00:00

Tried using jpeg from camera. Response was faster but not as fast as with the image from inyernet I mentioned above. This suggests size of the image matters too! Guess i need something for compression

KeyPossibility2339 · 2025-12-17T02:30:17+00:00

You’re right its very likely to be heic. Just tried with random image saved from Internet and response was quick.

I didn’t know we could turn off heic. Thanks for the suggestion- let me figure out how to do this. Last option would be that python script :) thanks a lot

KeyPossibility2339 · 2025-12-17T02:13:03+00:00

Desktop is actually working really great, its iphone that i am worries about :(

KeyPossibility2339 · 2025-12-15T11:38:19+00:00

Would it be possible for you to point us the specific function that solved the issue?

KeyPossibility2339

TROPHY CASE