kernal-gpt

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<p align="center">
<img src="https://cdn.jsdelivr.net/gh/boylegu/kernal-gpt/assets/kernal_gpt.png" width="360" height="300">
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An AI agent based on the Ollama large model, capable of executing Linux commands through natural language and invoking kernel hooks to delve into the underlying system.
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[![go](https://img.shields.io/badge/Go-1.24+-66C9D6)]()
[![ver](https://img.shields.io/badge/version-0.3.0.dev-E940AF)]()
[![go](https://img.shields.io/badge/license-MIT-E940AF)]()
</div>

## Abilities & Possibilities

[✔] Support all large models locally in Ollama

[✔] langchain and langgraph integration

[✔] multi-modal LLM's support 

[✔] only tool calling support

[✔] redis-vector and RAG integration

[✔] eBPF integration (Only supports Linux kernel 5.10 and above.)

[✔] dangerous command detection

[×] support memory and context （Coming soon）

[×] It will not run directly at the moment.（Currently, it is an experimental version and not suitable for direct execution.）

## Mechanism

<p align="center">
<img src="https://cdn.jsdelivr.net/gh/boylegu/kernal-gpt/assets/black.png">
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## How to run

1. This project uses Redis vector as the vector database, so Redis must be started first.

```
docker run -p 6379:6379 docker.io/redislabs/redisearch:latest 
```

2. Set environment variables

```shell

export KPT_MODEL="" # "please select the llm
export KPT_OLLAMA_URL="http://127.0.0.1:11434"
export KPT_REDIS_URL="redis://127.0.0.1:6379"
```


3. Compile the code

```
make
```

4.

```shell

# ./kernal_gpt
  _                                    _                           _
 | | __   ___   _ __   _ __     __ _  | |           __ _   _ __   | |_
 | |/ /  / _ \ | '__| | '_ \   / _` | | |  _____   / _` | | '_ \  | __|
 |   <  |  __/ | |    | | | | | (_| | | | |_____| | (_| | | |_) | | |_
 |_|\_\  \___| |_|    |_| |_|  \__,_| |_|          \__, | | .__/   \__|