Sandbox Protocol_Active

PAW (Personal Agent Workbench) / BATCH_011

Protocol_Brief

Challenge

Running local AI agents can be messy and hard to monitor. I wanted a 'dashboard' for my experiments.

Solution

A unified desktop interface that bridges web technologies with native OS-level capabilities via Rust.

“I wanted a single place to experiment with local AI without jumping between terminals. PAW is my exploration into Tauri and Rust. I built it to provide a secure, UI-driven way to manage local models, handle agent permissions, and monitor system health. It taught me how to bridge a React frontend with a high-performance Rust backend.”

Learned to build cross-platform desktop apps with Tauri and Rust integration.
Designed a custom permission system for exposing local directories to AI agents.
Implemented a dual-mode chat interface with support for RAG and streaming responses.
Built a system monitor to track local LLM performance and background agent tasks.

Key_Modules

ChatSecurityAgents

Loadout_Specs

ReactViteTauriTypeScriptTanStack QueryRust

Sys_Diagnostics

Node_Count:6

Fidelity:Cross-Platform AI Tooling

Matrix_State:STABLE

personal-assist.ais-cloud.dev

Viewport: Matrix_Simulated

Step 01

Agent Chat

Test the chat interface—I built this with streaming support for local Ollama models.