mirror of
https://github.com/tcsenpai/agenticSeek.git
synced 2025-06-06 11:05:26 +00:00
Update README.md
This commit is contained in:
parent
6b3dc46593
commit
a50fa704fb
20
README.md
20
README.md
@ -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! 🚀
|
||||
---
|
||||
@ -57,21 +57,25 @@ Run the assistant:
|
||||
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
|
||||
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
|
||||
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`.
|
||||
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
|
||||
- Reasoning with deepseek R1
|
||||
- Code execution capabilities (Python, Golang, C)
|
||||
- Code execution capabilities (Python, Golang, C, etc..)
|
||||
- Shell control capabilities in bash
|
||||
- Will try to fix errors by itself
|
||||
- Routing system, select the best agent for the task
|
||||
- Fast text-to-speech using kokoro.
|
||||
- Speech to text.
|
||||
- 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
|
||||
|
||||
- Web browsing
|
||||
- Knowledge base RAG
|
||||
- Graphical interface
|
||||
- Speech-to-text using distil-whisper/distil-medium.en
|
||||
|
Loading…
x
Reference in New Issue
Block a user