Agent-OS : This AI Agent can CONTROL YOUR COMPUTER & DO ANYTHING (Generate Apps, Code, RAG, etc.)

Join this channel to get access to perks:

In this video, I'll be talking about Agent-OS / Open Interpreter OS Mode, which is a new AI Agent Framework that can do Anything & Everything. It can also control your whole OS & Computer. It can do Coding, RAG, Research, Text-To-Application, Text-To-Frontend, RAG, etc. It is an All-In-One & AI Agent that is fully opensource and local. I'll be trying it out and testing it to find out. If it's really that good. I'll be generating some simple applications but you can also use it to generate Games, Applications, Web Applications, Websites, Frontend, Backend and multiple other things. You can also do Text-To-Frontend, Text-To-Application, Text-To-Game and other things with this. MicroAgent can also be used with any opensource LLM, OpenAI models or the other Claude models such as Llama-3.1, GPT-4O, Claude-3, CodeQwen, Mixtral 8x22b, Mixtral 8x7b, GPT-4, Grok-1.5 & Gemini Code Assist.

----
Resources:

----
Key Takeaways:

🔍 Discover the Power of Open Interpreter: Unleash the full potential of AI Agents with Open Interpreter’s groundbreaking OS Mode. Learn how it transforms your computer into an AI-driven powerhouse.

💻 Unlock Multimodal OS Control: Experience the future of AI as Open Interpreter uses GPT-4V to visually control your entire operating system— from opening applications to performing complex tasks.

⚙️ Boost Productivity with AI: See how Open Interpreter seamlessly executes coding tasks, creates files, and manages projects, all through simple natural language prompts.

⚡ Speed and Efficiency: Witness how Open Interpreter completes intricate tasks in less than a minute, making it one of the fastest AI Agents available today.

🔒 AI That Learns and Adapts: With advanced LLM capabilities, Open Interpreter adapts to your needs, ensuring accuracy and efficiency in every task—perfect for tech enthusiasts and professionals.

🚀 Explore Experimental Features: Dive into the cutting-edge OS Mode, where AI Agents interact directly with your screen, controlling inputs and automating workflows.

💼 Perfect for Developers and Tech Savvy Users: Whether you’re a developer or just tech-savvy, Open Interpreter offers unparalleled functionality, making it an essential tool for modern computing.

------
Timestamps:

00:00 - Introduction
00:08 - About OS Mode (Open Interpreter OS Mode Agent)
03:00 - Testing & Usage of OS Mode
08:05 - Ending

[Creartus]

Let's add realtime voice control and the best opensource vllm your graphics card can handle and it's done.

[SebKrogh]

Can you schedule tasks for it?
It really needs a GUI

[Martelus]

Man, imagine this running something like llama 8b with sam 2 or phi vision. Totally local on you computer.

[Moukrea]

That's a "really cool" review! For the output of your terminal during initialization, it seems you can use local LLMs such as LlaVa, wonder how it performs doing so!

It think the best way to use it is through an ssh connexion so that your terminal window does not interfere with its actions... I've also seen it do stuff regarding to mouse cursor position in some contexts, not sure wiggling the mouse cursor around when waiting for actions is a good idea 😉

[quercus]

Just some friendly advice, run this on an external network environment, and never ever point it to your C drive.

[MeinDeutschkurs]

I never saw anything more dangerous as this. Currently, it‘s slow on the Mac like my grandma, but after a hidden prompt somewhere in a screen shot ore elsewhere, you‘re f…

[LofiWurld]

Amazing amazing amazing please update us when it gets better or voice commands

[imranmohsin]

This is literally like giving access to skynet :P Altho does this work on windows?

[dung]

please test Qwen-2 Math in HuggingFace

[WaveOfDestiny]

Still too early i think, we need cheap or even local models that can reliably complete tasks with low error rates. Has to be finetuned at least with today tech.

[paultparker]

How good is the accuracy? That is to say, on what kind of tasks and at what complexity level of tasks does it start to fail with some frequency? generally lack of consistency and accuracy has been the biggest stumbling block for agents in practice AFAIK.

[paultparker]

It seems like speed and/or local models is the biggest concern so far? Does it work with GPT4o Mini? That model is surprisingly capable and should be faster.