V.
VIGHNESH KUMBHAR01 / 01

Jarvis V2

A local Python voice assistant organized around intent routing, memory, plugins, speech input, local inference, and tool execution.

Experimental build

OLLAMA
VOICE / AGENTCASE / 05
VERIFIED SOURCE MATERIALPython / OpenAI Whisper / Ollama

The premise.

Jarvis V2 builds on the voice-assistant idea with explicit modules for listening, transcription, speaking, brain/orchestration, execution, memory, plugins, and logging.

A voice interface is more than an LLM call: it needs a path from audio to intent, safe action execution, persistence, and feedback. Jarvis V2 explores those seams locally.

How it is structured.

The repository evidence points to these observable boundaries and technologies:

  • Audio listener and transcription modules
  • Brain/orchestration layer
  • Executor for system actions
  • Memory manager
  • Built-in plugin package
  • Logging and configuration utilities

From idea to system.

  • The README documents seven intent categories and a four-tier memory concept; the source contains the corresponding brain, memory, plugin, and utility modules.
  • Voice and CLI entry points are separated from the core assistant modules.
  • Optional input-automation and wake-word dependencies are documented rather than silently assumed.
PythonOpenAI WhisperOllamaEdge-TTSNumPysounddevicepygamepsutil

The difficult parts.

  • Keeping local inference, audio I/O, command execution, and memory concerns separable.
  • Designing safety and reliability boundaries for actions initiated through natural language.

What can be said honestly.

  • The repository has 22 commits and a requirements file for the documented core dependencies.
  • The source tree contains memory, plugins, core audio, executor, and utility modules.
  • No hosted demo is claimed; this is a local application.

The most credible story is architectural exploration: turning a voice assistant into explicit modules that can be inspected, tested, and extended.