Transcription: OpenAgents Episode 067 - Replacing ChatGPT

Source: https://twitter.com/OpenAgentsInc/status/1752830191213150334 Wiki source: https://raw.githubusercontent.com/wiki/OpenAgentsInc/openagents/Video-Series.md Media title: OpenAgents - Episode 067: Replacing ChatGPT We begin a quest to eliminate our depe... Upload date: 20240131 Transcription model: mlx-whisper/mlx-community/whisper-tiny Generated at: 2026-06-01T19:59:47Z

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[00:00] Christopher David: I've been really frustrated with chatGBT if you couldn't tell and

[00:05] Christopher David: Good thing we're kind of building the product that can make it obsolete at least using that interface of chatGBT

[00:12] Christopher David: So let's some it's building open agent. This would be like our first real agent that we build

[00:17] Christopher David: We actually care about the functionality. Okay, so I want to build an agent that can replace my day-to-day usage of chatGBT

[00:24] Christopher David: Most of what I do is paste code and documentation into chatGBT along with a request

[00:30] Christopher David: Now, how can we solve that using only

[00:34] Christopher David: Open agents plugins because

[00:37] Christopher David: Let's pop over to our MVP spec here

[00:40] Christopher David: Put this up today. So

[00:44] Christopher David: We're helping developers developers developers get paid to build AI agent that don't suck and

[00:52] Christopher David: The features are very simple. There's a directory of these ex-tism wasom plugins

[00:56] Christopher David: You can add a plugin and set a fee

[00:59] Christopher David: You can compose these plugins into an agent and then you can run the agent via the UI or the API

[01:04] Christopher David: And if you've got fees there if someone else uses your agent you pay Bitcoin

[01:10] Christopher David: MVP Asian marketplace building blocks of plugins cool so

[01:16] Christopher David: The test now is for us to reason about creating an agent that is useful that I would pay for

[01:23] Christopher David: Composed entirely of these plugins. So coming out of from that standpoint

[01:30] Christopher David: We would need three plugins

[01:34] Christopher David: One

[01:35] Christopher David: Given a text input

[01:37] Christopher David: Returnalist of URLs

[01:41] Christopher David: Given a URL

[01:43] Christopher David: Return it's main content sanitized and converted to markdown

[01:48] Christopher David: So imagine that being a

[01:51] Christopher David: piece of documentation or a link to an individual code file on GitHub

[01:56] Christopher David: We'll get more fancy with that but just look what is the simplest primitive? It's just here's a web page

[02:01] Christopher David: Read it get the content up from it

[02:03] Christopher David: You know, chop it down if needed

[02:06] Christopher David: There might be some kind of validation or or trunkation needed either there or as an intermediate step and then the inference

[02:13] Christopher David: Instead given an API key host URL model name and system user prompts return a text inference from an open AI compatible API

[02:21] Christopher David: And so the plugin should work with any open AI compatible API

[02:25] Christopher David: We could use our old GPU to help you inference network. It still works

[02:30] Christopher David: We could use

[02:32] Christopher David: Together API we could use open AI. I still may want to use open AI for GPT4 because it's gonna be the best for some use cases

[02:40] Christopher David: So over the next series of videos we're gonna build this and

[02:46] Christopher David: I'm gonna set myself the limitation that I cannot build in back end code that users will not have access to

[02:54] Christopher David: I have to build this via the interface at our product open agents.com and if something is missing I have to build that thing

[03:02] Christopher David: For the first few videos

[03:07] Christopher David: I'm gonna do this by building these three plugins

[03:11] Christopher David: So I'm gonna build this one and then now and then that one and then after that we will stitch them together

[03:19] Christopher David: via the UI and run it

[03:22] Christopher David: So this will be great in the next video you'll get to see me do the like a extremely simple plugin

[03:29] Christopher David: Which I'll probably write in rest

[03:32] Christopher David: If you want to follow along with me

[03:36] Christopher David: You'll be able to write your own plugins you can write them now and then plug them in but we're using go to ecstism.org

[03:44] Christopher David: And then we're gonna compose these into agent to workflows

[03:47] Christopher David: once this is done and

[03:50] Christopher David: I am able to replace

[03:52] Christopher David: Chanti vT in my own workflow at least for this thing where I'm pasting code and documentation like you've seen me do in multiple of these videos

[04:00] Christopher David: Once I can do that in a way where I'm doing it via our own interface

[04:05] Christopher David: In a way that's not going to have the problems of like crapping out in the middle because they're a fallback API

[04:11] Christopher David: If I want to use something else and to be able to instead of copy pacing I can just use URLs or then you know

[04:17] Christopher David: Maybe sophisticated the UI so I've got like you know five different things that I'm working on and all the requests

[04:23] Christopher David: Use that context just speed me up if I can speed myself up

[04:30] Christopher David: In a way that other developers probably will want to use just that but then also might want to kind of tweak and extend for their own workflows

[04:37] Christopher David: If that all can be done just be our UI then we will have a product worth releasing

[04:44] Christopher David: So this will be our

[04:46] Christopher David: Quest for the next week and

[04:49] Christopher David: Let's get started creating this plugin see us in