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"Always-On" Deepseek AI Assistant

A pattern for an always on AI Assistant powered by Deepseek-V3, RealtimeSTT, and Typer for engineering

Checkout the demo where we walk through using this always-on-ai-assistant.

ada-deepseek-v3.png

Setup

  • cp .env.sample .env
    • Update with your keys DEEPSEEK_API_KEY and ELEVEN_API_KEY
  • uv sync
  • (optional) install python 3.11 (uv python install 3.11)

Commands

Base Assistant Chat Interface

See main_base_assistant.py for more details. Start a conversational chat session with the base assistant:

uv run python main_base_assistant.py chat

Typer Assistant Conversational Commands

See main_typer_assistant.py, modules/typer_agent.py, and commands/template.py for more details.

  • --typer-file: file containing typer commands
  • --scratchpad: active memory for you and your assistant
  • --mode: determines what the assistant does with the command: ('default', 'execute', 'execute-no-scratch').
  1. Awaken the assistant
uv run python main_typer_assistant.py awaken --typer-file commands/template.py --scratchpad scratchpad.md --mode execute

  1. Speak to the assistant Try this: "Hello! Ada, ping the server wait for a response" (be sure to pronounce 'ada' clearly)

  2. See the command in the scratchpad Open scratchpad.md to see the command that was generated.

Assistant Architecture

See assistant_config.yml for more details.

Typer Assistant

See assistant_config.yml for more details.

  • 🧠 Brain: Deepseek V3
  • 📝 Job (Prompt(s)): prompts/typer-commands.xml
  • 💻 Active Memory (Dynamic Variables): scratchpad.txt
  • 👂 Ears (STT): RealtimeSTT
  • 🎤 Mouth (TTS): ElevenLabs

Base Assistant

See assistant_config.yml for more details.

  • 🧠 Brain: ollama:phi4
  • 📝 Job (Prompt(s)): None
  • 💻 Active Memory (Dynamic Variables): none
  • 👂 Ears (STT): RealtimeSTT
  • 🎤 Mouth (TTS): local

Resources