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114 lines
2.7 KiB
Markdown
114 lines
2.7 KiB
Markdown
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# AgenticSeek: Fully local AI Assistant Powered by Deepseek R1 Agents.
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**A fully local AI assistant** using AI agents. The goal of the project is to create a truly Jarvis like assistant using reasoning model such as deepseek R1.
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> 🛠️ **Work in Progress** – Looking for contributors! 🚀
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---
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## Features:
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- **Privacy-first**: Runs 100% locally – **no data leaves your machine**
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- ️ **Voice-enabled**: Speak and interact naturally
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- **Coding abilities**: Code in Python, Bash, C, Golang, and soon more
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- **Self-correcting**: Automatically fixes errors by itself
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- **Agent routing**: Select the best agent for the task
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- **Multi-agent**: For complex tasks, divide and conquer with multiple agents
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- **Web browsing (not implemented yet)**: Browse the web and search the internet
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---
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## Installation
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### 1️⃣ **Install Dependencies**
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```sh
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pip3 install -r requirements.txt
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```
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### 2️⃣ **Download Models**
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Make sure you have [Ollama](https://ollama.com/) installed.
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Download the `deepseek-r1:7b` model from [DeepSeek](https://deepseek.com/models)
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```sh
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ollama pull deepseek-r1:7b
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```
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### 3️⃣ **Run the Assistant (Ollama)**
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Start the ollama server
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```sh
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ollama serve
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```
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Change the config.ini file to set the provider_name to `ollama` and provider_model to `deepseek-r1:7b`
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```sh
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[MAIN]
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is_local = True
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provider_name = ollama
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provider_model = deepseek-r1:7b
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```
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Run the assistant:
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```sh
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python3 main.py
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```
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### 4️⃣ **Alternative: Run the LLM on your own server**
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On your "server" that will run the AI model, get the ip address
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```sh
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ip a | grep "inet " | grep -v 127.0.0.1 | awk '{print $2}' | cut -d/ -f1
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```
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Clone the repository and then, run the script `stream_llm.py` in `server/`
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```sh
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python3 stream_llm.py
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```
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Now on your personal computer:
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Clone the repository.
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Change the `config.ini` file to set the `provider_name` to `server` and `provider_model` to `deepseek-r1:7b`.
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Set the `provider_server_address` to the ip address of the machine that will run the model.
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```sh
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[MAIN]
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is_local = False
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provider_name = server
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provider_model = deepseek-r1:14b
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provider_server_address = x.x.x.x:5000
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```
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Run the assistant:
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```sh
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python3 main.py
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```
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## Current capabilities
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- All running locally
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- Reasoning with deepseek R1
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- Code execution capabilities (Python, Golang, C, etc..)
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- Shell control capabilities in bash
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- Will try to fix errors by itself
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- Routing system, select the best agent for the task
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- Fast text-to-speech using kokoro.
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- Speech to text.
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- Memory compression (reduce history as interaction progresses using summary model)
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- Recovery: recover and save session from filesystem.
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## UNDER DEVELOPMENT
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- Web browsing
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- Knowledge base RAG
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- Graphical interface
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