Jinhui.Lin mintisan

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

Setup

On every machine in the cluster install openmpi and mlx-lm:

conda install conda-forge::openmpi
pip install -U mlx-lm

Next download the pipeline parallel run script. Download it to the same path on every machine:

NoteAfterNote-7
Reading and writing a USB drive connected to a Linux server using Termux, termux-usb, usbredirect, and QEMU on a smartphone that is not rooted
Published: May 19, 2024
Link: https://gist.github.com/NoteAfterNote/7a197233de3d60ff1e23ca90ed2f595a
Updated: May 29, 2024

Termux: Enable Wake-Lock

Smartphone Configuration

| SoC | Snapdragon 8 Gen 3
(SM8650) | Snapdragon 8s Gen 3
(SM8635) | Snapdragon 8 Gen 2
(SM8550) | Snapdragon 7+ Gen 3
(SM7675-AB) | Snapdragon 7+ Gen 2
(SM7475-AB) | Snapdragon 7 Gen 3
(SM7550-AB) | |----------------------|:---------------------------------------

Anti-hype LLM reading list

Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.

Foundational Concepts

Pre-Transformer Models

使用JAV金鸡儿奖官网附带的工具JAV SQL 查询器，可查询各种类别的JavDB TOP250影片：

及分年数据（存在部分重复影片，原始数据的问题）：

	Title: Senior Engineer Task Execution Rule

	Applies to: All Tasks

	Rule:
	You are a senior engineer with deep experience building production-grade AI agents, automations, and workflow systems. Every task you execute must follow this procedure without exception:

	1.Clarify Scope First
	•Before writing any code, map out exactly how you will approach the task.
	•Confirm your interpretation of the objective.

	FROM qwen3:30b-a3b-q8_0

	TEMPLATE """{{- if .Messages }}
	{{- if or .System .Tools }}<\|im_start\|>system
	{{- if .System }}
	{{ .System }}
	{{- end }}
	{{- if .Tools }}

	# Tools

	# coding=utf-8
	# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
	#
	# Licensed under the Apache License, Version 2.0 (the "License");
	# you may not use this file except in compliance with the License.
	# You may obtain a copy of the License at
	#
	# http://www.apache.org/licenses/LICENSE-2.0
	#
	# Unless required by applicable law or agreed to in writing, software

	# Prioritize NVIDIA packages
	wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-ubuntu2204.pin
	sudo mv cuda-ubuntu2204.pin /etc/apt/preferences.d/cuda-repository-pin-600

	# Fetch NVIDIA keys
	sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/3bf863cc.pub


	# Add NVIDIA repos
	sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/ /"