Alessio Delmonti Alexintosh

PI is a TypeScript toolkit for building AI agents. It's a monorepo of packages that layer on top of each other: pi-ai handles LLM communication across providers, pi-agent-core adds the agent loop with tool calling, pi-coding-agent gives you a full coding agent with built-in tools, session persistence, and extensibility, and pi-tui provides a terminal UI for building CLI interfaces.

These are the same packages that power OpenClaw. This guide walks through each layer, progressively building up to a fully featured coding assistant with a terminal UI, session persistence, and custom tools.

By understanding how to compose these layers, you can build production-grade agentic software on your own terms, without being locked into a specific abstraction.

Pi was created by @badlogicgames. This is a great writeup from him that explains some of the design decisions made when creating it.

The stack

name	codex
description	Use OpenAI Codex CLI for complex debugging, code analysis, or when stuck on difficult problems. Invokes Codex with a file-based question/answer pattern.
disable-model-invocation	true

Using Codex for Complex Debugging

When you encounter a difficult problem that would benefit from a second perspective or deep analysis, use Codex via the file-based pattern.

Chat GPT "DAN" (and other "Jailbreaks")

	#!/usr/bin/env bash
	set -euo pipefail

	bold() { printf "\033[1m%s\033[0m\n" "$*"; }
	info() { printf "• %s\n" "$*"; }
	warn() { printf "\033[33m! %s\033[0m\n" "$*"; }
	err() { printf "\033[31m✗ %s\033[0m\n" "$*" >&2; }
	ok() { printf "\033[32m✓ %s\033[0m\n" "$*"; }

	require_macos() {

	# 2023-11-27 MIT LICENSE

	Here's the open source version of my ChatGPT game MonkeyIslandAmsterdam.com.

	It's an unofficial image+text-based adventure game edition of Monkey Island in Amsterdam, my home town.

	Please use it however you want. It'd be nice to see more ChatGPT-based games appear from this. If you get inspired by it, please link back to my X https://x.com/levelsio or this Gist so more people can do the same!

	Send me your ChatGPT text adventure game on X, I'd love to try it!

	# STEP 1: Load

	# Load documents using LangChain's DocumentLoaders
	# This is from https://langchain.readthedocs.io/en/latest/modules/document_loaders/examples/csv.html

	from langchain.document_loaders.csv_loader import CSVLoader
	loader = CSVLoader(file_path='./example_data/mlb_teams_2012.csv')
	data = loader.load()

	export const chaosTestStrings = (): void => {
	const textNodes = getAllTextNodes(document.body);

	for (const node of textNodes) {
	const textNodeLength = node.textContent ? node.textContent.length : 0;
	if (node.textContent === null) {
	return;
	}
	if (node.parentElement instanceof Element) {
	if (node.parentElement.dataset.originalText === undefined) {

	// SPDX-License-Identifier: MIT
	//
	// This code will add a GPT3() function in your Google Sheets
	// This code is originally inspired from https://twitter.com/fabianstelzer/status/1572926883179778050
	// To use it, insert your API key below, open Google Sheets -> Extensions -> Apps Script -> Copy & Paste this -> Save
	//
	// Usage: =GPT3(prompt, max_tokens (default=15), model (default=davinci))
	// Example usage: =GPT3("Once upon a time,", 1000, "davinci")

	var API_KEY = "your-API-key";

	// SPDX-License-Identifier: MIT
	pragma solidity ^0.8.9;

	// Unlike the string type, ShortString is a value type that can be made immutable.
	// It supports strings of at most 32 bytes and assumes they don't contain null bytes.

	type ShortString is bytes32;

	error StringTooLong(string s);