Meet Tars: The Local-First, Autonomous AI Sidekick for Your Terminal

Source: Dev.to

Introduction

For the past few months, I’ve been obsessed with a single question: Why do our AI assistants live in the cloud, while our work lives on our machines?
Most AI coding assistants today are great, but they feel like “visitors.” They have limited context of your system, require expensive subscriptions, and often struggle with long‑running tasks that need autonomous execution.

Why I Built Tars

Tars is an autonomous, local‑first AI assistant powered by Google’s Gemini models. Unlike a standard CLI wrapper, Tars uses a Supervisor‑Orchestrator model. It lives in your terminal but acts like a background service that can manage its own memory, schedule its own tasks, and even heal itself if things go wrong.

Core Features

• Autonomous Persistence
  Tars runs a background “Heartbeat” service. Give it a complex task (e.g., refactoring a library or monitoring a server) and it will work on it autonomously until completion, sending you a notification via Discord or WhatsApp when it needs your input.

• Tiered Memory System

  • facts.json stores long‑term preferences.
  • Project‑specific GEMINI.md files capture architecture decisions and personal habits.
    Tars doesn’t just “chat”; it remembers your context.

• Multi‑Channel Interface
  Interact with your local Tars instance from anywhere via Discord or WhatsApp—essentially having your workstation’s brain in your pocket.

• Extensible via MCP (Model Context Protocol)
  Tars can write its own tools and extensions. It already includes deep integrations with Google Workspace, Playwright (for browser automation), and health data (Ultrahuman).

• Free Inference
  Because it uses the Gemini API, most developers can run Tars entirely within the free tier, avoiding the typical $20/mo “AI tax.”

Vision

I believe the future of AI isn’t just bigger models, but better infrastructure. Tars prioritizes:

• Local redirects
• Local configuration
• Local data storage

Your memories and tasks remain yours.

Current Status & Community

Tars is actively developed (v1.11.1). I’m building it in public and would love input from developers interested in:

• Autonomous Agents: Building reliable supervisor models.
• Local Intelligence: Reducing reliance on SaaS for core dev workflows.
• Terminal UX: Making the CLI feel like a high‑performance workspace.

Get Involved

Check it out here:

What are you building in the autonomous agent space? I’d love to swap notes.