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@ -1,7 +1,7 @@
# 🚀 agenticSeek: Local AI Assistant Powered by DeepSeek Agents # AgenticSeek: Fully local AI Assistant Powered by Reasoning Agents.
**A fully local AI assistant** using Deepseek R1 agents. **A fully local AI assistant** using AI agents. The goal of the project is to create a truly Jarvis like assistant using deepseek R1.
> 🛠️ **Work in Progress** – Looking for contributors! 🚀 > 🛠️ **Work in Progress** – Looking for contributors! 🚀
--- ---
@ -57,21 +57,25 @@ Run the assistant:
python3 main.py python3 main.py
``` ```
### 4️⃣ **Alternative: Run the Assistant (Own Server)** ### 4️⃣ **Alternative: Run the LLM on your own server**
Get the ip address of the machine that will run the model On your "server" that will run the AI model, get the ip address
```sh ```sh
ip a | grep "inet " | grep -v 127.0.0.1 | awk '{print $2}' | cut -d/ -f1 ip a | grep "inet " | grep -v 127.0.0.1 | awk '{print $2}' | cut -d/ -f1
``` ```
On the other machine that will run the model execute the script in stream_llm.py Clone the repository and then, run the script `stream_llm.py` in `server/`
```sh ```sh
python3 stream_llm.py python3 stream_llm.py
``` ```
Now on your personal computer:
Clone the repository.
Change the `config.ini` file to set the `provider_name` to `server` and `provider_model` to `deepseek-r1:7b`. Change the `config.ini` file to set the `provider_name` to `server` and `provider_model` to `deepseek-r1:7b`.
Set the `provider_server_address` to the ip address of the machine that will run the model. Set the `provider_server_address` to the ip address of the machine that will run the model.
@ -93,17 +97,17 @@ python3 main.py
- All running locally - All running locally
- Reasoning with deepseek R1 - Reasoning with deepseek R1
- Code execution capabilities (Python, Golang, C) - Code execution capabilities (Python, Golang, C, etc..)
- Shell control capabilities in bash - Shell control capabilities in bash
- Will try to fix errors by itself - Will try to fix errors by itself
- Routing system, select the best agent for the task - Routing system, select the best agent for the task
- Fast text-to-speech using kokoro. - Fast text-to-speech using kokoro.
- Speech to text.
- Memory compression (reduce history as interaction progresses using summary model) - Memory compression (reduce history as interaction progresses using summary model)
- Recovery: recover last session from memory - Recovery: recover and save session from filesystem.
## UNDER DEVELOPMENT ## UNDER DEVELOPMENT
- Web browsing - Web browsing
- Knowledge base RAG - Knowledge base RAG
- Graphical interface - Graphical interface
- Speech-to-text using distil-whisper/distil-medium.en