https://github.com/agiunderground/useless-agent
A little proof-of-concept agent that uses DeepSeek V3 to navigate the Linux desktop
https://github.com/agiunderground/useless-agent
agentic agentic-ai deepseek llm
Last synced: 4 months ago
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A little proof-of-concept agent that uses DeepSeek V3 to navigate the Linux desktop
- Host: GitHub
- URL: https://github.com/agiunderground/useless-agent
- Owner: agiUnderground
- License: mit
- Created: 2025-01-24T21:56:10.000Z (5 months ago)
- Default Branch: master
- Last Pushed: 2025-01-25T10:22:48.000Z (5 months ago)
- Last Synced: 2025-01-25T10:25:17.987Z (5 months ago)
- Topics: agentic, agentic-ai, deepseek, llm
- Language: Go
- Homepage:
- Size: 444 KB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# useless-agent
**What can this agent do?** Basically nothing, that’s why it is the useless-agent.
**Why is it interesting?**
* Uses text-only LLMs.
* Cheap: I spent about $4.57 playing with it for about 7 evenings.
* Single binary. *(almost, see todo list)*
* Easy to use: run the binary and copy the IP address.
* No telemetry, no bullshit.
* IPv4 & IPv6(*should work, not tested yet)
> [!CAUTION]
> * Only use this on a disposable virtual machine.
> * It can, and most likely will, destroy your system.
> * The LLM API provider has a realistic ability to inject malicious commands/actions/data into the ingested API responses.
> * The video is not compressed. If you are connected to a virtual machine in the cloud, be aware of high internet traffic.
> * The video stream and everything else, except the API queries, are not encrypted. If connecting to a remote machine, use an SSH tunnel with port forwarding.
> [!NOTE]
> It is super slow. Right now, speed is not a priority. If your only problem is speed, you have already won the agents game.
Currently supported models:
* `deepseek-chat`
* `deepseek-reasoner`
**Environment**: Only works on - `Linux + xfce + X11`.
Version - `v0.0.0.0.0.1`.
If it were a web service with an SLA, its SLA would guarantee an availability of 0.00001%.
# Demos
`Prompt`: Open a web browser and go to deepseek.com
https://github.com/user-attachments/assets/6299f1b5-3c2e-493e-b67a-145487e14ffa
### How to build:
* `git clone`
* `cd useless-agent`
* `go build`
### How to prepare headless vm:
Scripts - "assets/scripts"
```bash
sudo apt install xfce4 xvfb tesseract-ocr-eng tesseract-ocr libtesseract5 libleptonica-dev libtesseract-dev
sudo apt remove xfce4-screensaver
sudo systemctl enable xvfb.service
sudo systemctl enable xfce4.service
sudo systemctl start xvfb.service
sudo systemctl start xfce4.service
```
### How to use:
`copy executable to the target machine`
`start executable:`
```bash
API_KEY=your-api-token-value DISPLAY=:1 API_BASE_URL='https://api.deepseek.com/v1' MODEL_ID='deepseek-chat' ./useless-agent --ip=127.0.0.1 --port 8080
```
`On client machine open main.html in the browser.`
`Put target machine IP into the field "IP Address".`
`Click "Connect".`
`Click "Video".`
`Give it some task, for example "Open web browser", put that prompt into the LLM Chat and press "Send".`
> [!TIP]
> Like to burn money? Try more capable LLMs; using DeepSeek R1 instead of v3 would probably make the program more capable of doing nothing.
How the project started: I just wanted to take a screenshot over the network.
### Todo list:
- [ ] Build a single fully static binary.
- [ ] Add stats about burned tokens per session/task.
- [ ] Add dead kitten counter
- [ ] Allow LLM to spawn local 'thoughts', which would do/monitor something and then allow them to interrupt the main LOOP and to inject its results into the thinking loop.
- [ ] Build a unified concept space for models that are capable of ingesting more data.
- [ ] Pause task execution.
- [ ] Allow intervention in the execution process and provide guidance/additional instructions.
**Problems & Ideas:**
* LLMs' context window/input size is so limiting; I want to shuffle in 100M million tokens at each iteration.
* How to do reliable OCR? Don’t do it at all. The idea was to find a single point where Linux renders fonts for the whole system and intercept it, to set something like an eBPF hook and get all text for free. `Turns out there is no single point of font rendering in Linux!` Each X11 client app is allowed to render fonts itself. Nice.
* How hard could it be to write a single function to recognize windows? They have unified patterns, right? `Wrong. Each window is allowed to draw its own header however they like.` I’m looking at you, Firefox. Nice.