Growth-Circle

Growth-Circle / cadis

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Rust-first, local-first multi-agent runtime with a desktop HUD, policy-gated tools, voice, and worktree-isolated coding agents.

21
3
100% credibility
Found Apr 27, 2026 at 21 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

C.A.D.I.S. is a local-first desktop runtime coordinating multiple AI agents via a HUD interface, CLI, voice input/output, approvals, and isolated coding workflows.

How It Works

1
🔍 Discover C.A.D.I.S.

You find this smart desktop helper that lets AI agents team up to assist with your daily computer tasks, all running safely on your own machine.

2
📥 Get it ready

Follow the easy guide to set up the program on your Linux desktop, connecting any AI thinkers you want it to use.

3
🚀 Start the helper

Run the main program once, and it quietly waits in the background, ready to manage your AI team.

4
🖥️ Open the glowing dashboard

Launch the beautiful circular window showing your orbiting AI agents, chat area, and voice controls – it feels like mission control for your computer.

5
💬 Chat or speak to agents

Type a request or talk into your mic, and watch agents light up, think, and respond right in the dashboard.

6
Approve safe actions

When an agent wants to run a command or edit files, you quickly check and approve from the stack of cards – keeping everything under your control.

🎉 Your AI team shines

Agents collaborate on coding, research, or automation while you relax, with voice replies and a live view of their progress – your desktop just got supercharged.

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Star Growth

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AI-Generated Review

What is cadis?

Cadis is a Rust-first, local-first multi-agent runtime that coordinates AI agents for desktop coding, chat, and automation via a central daemon. It delivers a Tauri desktop HUD with orbital agent views, voice I/O using Whisper STT and Edge TTS, CLI commands like `cadis status` or `cadis chat "hello"`, and policy-gated tools with explicit approvals. Users get worktree-isolated coding agents, model-agnostic support for Ollama/OpenAI/Codex, and inspectable logs—all running locally without cloud fragmentation.

Why is it gaining traction?

Its Rust core ensures predictable performance for agent orchestration, while local-first design keeps data private and interfaces (HUD, CLI, voice) unified under one daemon. Policy gates block risky shell runs or file patches until approved, and the HUD's live progress tracking stands out over basic chat apps. Developers notice the safety for real workflows, like isolated git worktrees for coding agents.

Who should use this?

Linux desktop devs running local AI for coding tasks, like spawning agents for refactoring or tests in isolated worktrees. Automation tinkerers needing voice-controlled shell tools with approvals. Multi-agent experimenters avoiding SaaS lock-in, akin to cadis software for agents.

Verdict

Pre-alpha at 21 stars and 1.0% credibility—maturity lags with Linux focus and pending Windows polish—but strong docs and tests make it worth a CLI spin for local-first fans. Skip for production; prototype if desktop agents excite you.

(198 words)

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