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Introspection dashboard for the pi coding agent — tools, prompts, skills, and the system prompt injected on init.

18
0
89% credibility
Found May 18, 2026 at 24 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

pi-inspect is a developer tool that acts like an X-ray machine for your AI coding assistant. When you install it and type a simple command, it takes a snapshot of your current session—capturing every tool, command, and instruction your AI has access to. It then displays all this information in a clean, searchable dashboard in your browser. You can browse through the details, search for specific items, switch between past sessions, and even open source files directly. It's designed for developers who want transparency into their AI assistant's behavior, want to debug why their AI isn't using a certain tool, or simply want to understand what's loaded in their coding environment.

How It Works

1
🤖 You're using an AI coding assistant

You spend your days working with an AI that helps write code, run commands, and manage your projects.

2
🔍 You wonder what your AI can actually see

Curious about what tools, commands, and instructions are loaded into your current session, you search for a way to peek behind the curtain.

3
📦 You install a special viewing tool

With one simple command, you add pi-inspect to your setup. It quietly integrates with your AI assistant, ready to show you everything.

4
💬 You ask to see what's loaded

You type a simple command, and like a camera flash, the tool captures a complete picture of your current session—what tools are ready, what commands exist, and what instructions the AI is following.

5
🌐 A dashboard appears in your browser

A clean, organized window opens showing your session details. You can browse through tools, search for specific commands, and expand sections to see exactly what your AI has access to.

6
You explore what matters to you
🔧
Check available tools

Browse every tool the AI can use, see their descriptions, and understand what each one does.

📝
Read the instructions

Look at the system prompt—the core instructions guiding your AI's behavior.

📂
Review past sessions

Jump back to earlier sessions to compare what was loaded and understand how things changed.

You finally understand your AI

With everything laid out clearly, you know exactly what your coding assistant can do, what it's been told, and how it sees your project. Debugging becomes easy, and you're in full control.

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AI-Generated Review

What is pi-inspect?

pi-inspect is an introspection dashboard for the pi coding agent. It spins up a local web server that captures and displays everything loaded into a pi session: tools, slash commands, skills, and the system prompt injected at initialization. You get a searchable tree view with a detail panel showing raw JSON for each item. The tool runs as a slash command (`/inspect`) inside pi and stores snapshots in your home directory for replay. It supports light/dark themes, keyboard navigation, and real-time updates via server-sent events when new snapshots appear.

Why is it gaining traction?

The hook is transparency. When your agent behaves unexpectedly, you can actually see what it knows -- which tools are active, where they came from, and exactly what instructions are in the system prompt. The dashboard groups items by source (npm packages, builtins, auto-loaded) so you can trace where each capability originates. You can also open files directly in your `$EDITOR` from the detail panel and link to GitHub repos when available. The session picker lets you compare different sessions side-by-side by sharing URLs.

Who should use this?

Plugin authors building tools for pi will find this essential for debugging. Developers troubleshooting "why is my agent doing X?" will get concrete answers instead of guessing. Anyone customizing their `AGENTS.md` files who wants to verify exactly what ends up in the system prompt. Not useful unless you're already using pi as your coding agent.

Verdict

This fills a real gap for pi power users, but the credibility score of 0.8999999761581421% and 18 stars signal it's early-stage and niche. The implementation is functional and the UI is polished for a side project, but there's no test suite visible and documentation is minimal. Worth installing if you live in pi; skip it otherwise.

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