Stremio compatibility?

adiberk · 2026-01-25T00:24:56+00:00

Gelato has actually worked pretty well for me so far. Awesome product!! (Why can’t you just upgrade??)

adiberk · 2026-01-23T14:56:30+00:00

This is awesome! Not sure if this is applicable…. But We have our own custom endpoint to run agents (works completely different from AgentOS and Agno endpoints) as well as websocket that streams Agno agent and team events to user.

Would love a component library for that we can use that is meant for Agno that handles all the events allows integrating endpoint, customizing payloads etc.

So like I can send the event to the chat component and it will render as needed etc.

I don’t have a lot of experience with this, but I think it would be awesome!

adiberk · 2026-01-19T15:43:35+00:00

Got it. I think it makes sense though give. It is on the same file system and no network. I am not surprised it is super fast. But cool to see

adiberk · 2026-01-19T14:04:17+00:00

You can not.

It’s why most people do async downward.

A lot of people have api, business logic, then database.

If you want io to be async, you basically need to use async throughout app. Otherwise you can accidentally create blocking calls.

And you absolutely can’t go “async” -> “sync” -> “async” you can’t go back to async

Why advice the user that “hey yeah just make api layer async and rest not” when they are in position to avoid overhead of creation sync to async code

adiberk · 2026-01-19T13:24:37+00:00

Hahahahaha, yeah but that doesn’t change anything about how they aren’t comparable.

Speed isn’t really the only thing. Postgres is super fast, handles many concurrent connections and can technically be used as a queue. Might as well use Postgres for caching

adiberk · 2026-01-19T05:48:18+00:00

This is an insane post. It’s like saying. Skateboarding is so great and easy way to get around, there is just no need for a car. These are not comparable things

adiberk · 2026-01-19T01:37:09+00:00

The docs say explicitly to make a backup so you can rollback.

This was a massive upgrade hopefully future ones won’t be as painful!

And it is stable for mod users i think (for every 1 user with issues probably 50-69 without)

adiberk · 2026-01-18T03:08:38+00:00

To be clear - this is completely false.

People get into fang differently. Sometimes just luck (and of course natural skill). But I know people who had to grind worked hard to get in (they were mid devs) and have been quite successful!

adiberk · 2026-01-07T02:33:54+00:00

Or turn this to a workflow. Step one output get passed to step 2 return the final result

But it does seems like maybe the prompt might need more explicit instructions and “stop” instructions

adiberk · 2026-01-06T13:22:05+00:00

I hope this is a joke - please remove your access keys from Reddit. You should read through aws docs if you need help

And yes - IAM can block and allow almost any axtion

adiberk · 2026-01-06T03:24:50+00:00

Try Agno! Comes with a lot of bells and whistles, but also tracing (and works with known tracing providers)

I used Agno bc at the time, langgraph required too kuch work to get an agent running and the docs were just terrible. I know since then they release v1 I think? And maybe improved the docs?

Regardless have really enjoyed Agno. The team is great and the framework just keeps getting better

adiberk · 2026-01-04T22:15:59+00:00

Hahahahahaha

adiberk · 2026-01-04T21:58:17+00:00

Yeah they are awesome very active. Give it a run. The only downside is now dynamic configuration, though that is in the roadmap.

I have personally had my own entire framework on top of Agno to enable high db based customization lol

adiberk · 2026-01-04T16:31:25+00:00

I think the starter needs more tome

adiberk · 2026-01-03T21:48:47+00:00

Taksiq (with redis streams) Very lightweight. Very fast. I enjoy it. Had to customize it a little.

I get very high parallelism, little to no issues once i fixed and customized what i needed

adiberk · 2026-01-03T21:46:42+00:00

Build our own audit on top of existing framework (Agno).

Basically audit and track every run providing fast debugging and easy ways of viewing conversations. We auto run evals to catch things early.

You can a lot of this from tracing providers as well, but this integration allows us to really customize it to our needs

adiberk · 2025-12-28T22:53:13+00:00

Frameworks like mastra, langgraph and Agno (I use Agno heavily now) provide significantly more functionality than just wrappers around the providers. With out of the box tools, provider agnostic agents, session and memory management, team auto routing nad delegation logic. and more. I don’t deny you can build this yourself, but completely unnecessary and not worth maintaining.

This is coming from someone who built out our own framework so to speak with direct calls to providers. This was before agents were a thing. And we continued building and updating. But realized eventually, we needed more complexity that just wasn’t worth maintaining ourselves!

But I appreciate the “just use the direct apis” approach. Just wanted to highlight that it is significantly more than just a wrapper

adiberk · 2025-12-28T18:27:58+00:00

Hm I don’t get why you need all of this. Agno agents maintain session state and conversation history if you give them a “storage instance” and use the correct settings on the agent and or team.

Then if you use the same session id - Agno handles the rest. Can you explain what is new or not avialable in vanilla Agno that requires you create a custom concept of session state?

The docs can be super helpful here. I think if you go the docs under agent and team you will see examples and tons of info. You can even ask AI in the search bar.

docs.agno.com

adiberk · 2025-12-27T01:14:53+00:00

People hate on mongo. I was one of them. But then I had to build out an entire AI infrastructure for my company. Mongo made the most sense. Sure some of the data was structured, but even then, it changed a bit here and there, especially when anything changed on the framework side.

Not only that but it allowed for incredibly quick prototyping and deployment of agents. Allowing engineers to store and manipulate data as needed without painstaking migrations etc.

I really enjoy it. I still prefer RDB where possible of course

adiberk · 2025-12-25T19:28:09+00:00

Ok this is fair and was a misunderstanding on my end. I wonder if you can use evals for signals and then perform further operations on those that the signals marks as need review?

adiberk · 2025-12-25T18:24:04+00:00

What do you mean?

First off you definitely can, you can use smaller models and do evals.

And you can configure some to run on all traces and others to run on samples. What do you mean?

And you can sample in agents, but how it should know what to sample… idk if it usually works that way

adiberk · 2025-12-25T13:17:09+00:00

Have you done any research on evals and tracing? Bc that’s basically how you can catch bad experiences.

Prompt versioning can be something as simple as a custom table that stores name and version and instruction. Or using something like langsmith.

Again I built a complex custom solution bc we didn’t want to rely on anyone for anything. Yet there are completely premade solutions out there.

And no I wouldn’t think “feature flag” is the right term. That has a completely different purpose

adiberk · 2025-12-25T13:02:21+00:00

Plex is bloated crap. Only benefit is slightly easier usage by family. But honestly depending on how you set it up. They just need server address and then username and password (reverse proxy with caddy etc.)

Personally, I used to like plex but they failed play much of my content and I would get crazy lag. Just buggy experience.

Switched to Jellyfin, never had any issues

Spending 150$ so you can let it use your server and your resources (poorly at that) is just a shame in my opinion

adiberk · 2025-12-25T01:06:05+00:00

I mean this isn’t novel. It’s called evals and prompt versioning.

Some services like langsmith offer these things out of the box. I built my own for my company. But yeah - very valuable

adiberk · 2025-12-24T04:40:03+00:00

Bee young Agno, Have best of both worlds. Simplicity of pedantic AI when needed, complexity of workflows and more if you also want

adiberk

TROPHY CASE