localJarvis

A fully local assistant using swarm of deepseek agents, with multiple capabilities such as code execution, web browsing, etc...

THIS IS A WORK IN PROGRESS

Install

• Make sure you have ollama installed on your machine
• Install dependencies (pip3 install -r requirements.txt)

Run fully local

Simplest way is to use ollama

• First change the config.ini file to set the provider_name to ollama and provider_model to deepseek-r1:7b
• In first terminal run ollama serve
• In second terminal run python3 main.py
• Ollama will download deepseek-r1:7b on your machine
• 2 model are also downloaded:
  • For text to speech: kokoro
  • For speech to text: distil-whisper/distil-medium.en
• type or say goodbye to exit.

Run model on another machine

• First change the config.ini file to set the provider_name to server and provider_model to deepseek-r1:7b (or higher)
• On the machine that will run the model execute the script in stream_llm.py

python3 stream_llm.py

• In the config.ini file, set the provider_server_address to the ip address of the machine that will run the model.

• On the machine that will run the assistant execute main.py

python3 main.py

Text to speech

If you want your AI to speak, run with the --speak option.

python3 main.py --speak

Current capabilities

• All running locally
• Reasoning with deepseek R1
• Python code execution capabilities
• Bash execution capabilities
• Get feedback from python/bash interpreter attempt to fix code by itself.
• Fast text-to-speech using kokoro.