BATCH_01 // #11

PAW (Personal Agent Workbench)

Centralizing My Local AI Tools

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.

Project Highlights

[+]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.

Tech Stack

#React#Vite#Tauri#TypeScript#TanStack Query#Rust

Open Source Repository

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.

Local LLM Experiment

Hello! I am PersonalAssist. How can I help you today with your local AI tasks?

10:42 AM

Can you analyze the errors in src/main.rs?

10:44 AM

I found a lifetime borrow checker error in `src/main.rs` on line 42. You're trying to return a reference to a locally scoped variable. I suggest using an `Arc` or cloning the data.

llama3-8b-instruct🧠 Memory10:45 AM

Smart

Stream

🖥️ llama3-8b-instruct