AgenticSeek: Fully local AI Assistant Powered by 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 reasoning model such as deepseek R1.

🛠️ Work in Progress – Looking for contributors! 🚀

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Features:

• Privacy-first: Runs 100% locally – no data leaves your machine
• ️Voice-enabled: Speak and interact naturally
• Filesystem interaction: Use bash to interact with your filesystem.
• Coding abilities: Code in Python, C, Golang, and soon more
• Trial-and-error: Automatically fixes code or command upon execution failure
• Agent routing: Select the best agent for the task
• Multi-agent: For complex tasks, divide and conquer with multiple agents
• Tools:: All agents have their respective tools ability. Basic search, flight API, files explorer, etc...
• Web browsing (not implemented yet | Hight priority task): Browse the web autonomously to conduct task.
• Memory&Recovery: Compress conversation over time to retain usefull information, recover conversation session.

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Run locally

We recommand you use at least deepseek 14b, as smaller small will have trouble using tool and forget quickly the conversations.

1️⃣ Install Dependencies

pip3 install -r requirements.txt

2️⃣ Download Models

Make sure you have Ollama installed.

Download the deepseek-r1:7b model from DeepSeek

ollama pull deepseek-r1:7b

3️⃣ Run the Assistant (Ollama)

Start the ollama server

ollama serve

Change the config.ini file to set the provider_name to ollama and provider_model to deepseek-r1:7b

[MAIN]
is_local = True
provider_name = ollama
provider_model = deepseek-r1:7b

Run the assistant:

python3 main.py

Alternative: Run the LLM on your own server

1️⃣ Set up and start the server scripts

On your "server" that will run the AI model, get the ip address

ip a | grep "inet " | grep -v 127.0.0.1 | awk '{print $2}' | cut -d/ -f1

Clone the repository and then, run the script stream_llm.py in server/

python3 stream_llm.py

2️⃣ Run it

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.

[MAIN]
is_local = False
provider_name = server
provider_model = deepseek-r1:14b
provider_server_address = x.x.x.x:5000

Run the assistant:

python3 main.py

Provider

Currently the only provider are :

• ollama -> Use ollama running on your computer. Ollama program for running locally large language models.
• server -> A custom script that allow you to have the LLM model run on another machine. Currently it use ollama but we'll switch to other options soon.
• openai -> Use ChatGPT API (not private).
• deepseek -> Deepseek API (not private).

To select a provider change the config.ini:

is_local = False
provider_name = openai
provider_model = gpt-4o
provider_server_address = 127.0.0.1:5000

is_local: should be True for any locally running LLM, otherwise False.

provider_name: Select the provider to use by its name, see the provider list above.

provider_model: Set the model to use by the agent.

provider_server_address: can be set to anything if you are not using the server provider.