How systematic methodology and architectural understanding enabled the successful migration of 12 specialized AI agents between platforms, creating reusable patterns for future migrations
Migrating AI agents between platforms isn't just a technical exercise—it's an architectural transformation. When you port agents from one system to another, you're not simply copying code; you're translating between different philosophies of agent interaction, tool management, and capability expression.
| import random | |
| from typing import ( | |
| List, | |
| Dict, | |
| Callable, | |
| Union, | |
| ) | |
| import numpy |
| ## Getting image and Pi up and running | |
| # Go to https://www.raspberrypi.org/downloads/raspbian/ and download an image, then unzip it | |
| # Download https://www.balena.io/etcher/ and install it | |
| # Plug in microsd card, Unzip the downloaded image and use Etcher to write the downloaded image to the SD card | |
| # Edit boot/config.txt, and uncomment hdmi_force_hotplug=1 and hdmi_drive=2 | |
| # Plug the PI in, and go through to setup prompts | |
| # Run the following commands in terminal | |
| ## Config stuff | |
| sudo raspi-config |
| private rule Macho | |
| { | |
| meta: | |
| description = "private rule to match Mach-O binaries (copied from Apple's XProtect)" | |
| condition: | |
| uint32(0) == 0xfeedface or uint32(0) == 0xcefaedfe or uint32(0) == 0xfeedfacf or uint32(0) == 0xcffaedfe or uint32(0) == 0xcafebabe or uint32(0) == 0xbebafeca | |
| } | |
| rule ZoomDaemon | |
| { |
| ; A Mind is Born by Linus Akesson | |
| ; https://linusakesson.net/scene/a-mind-is-born/index.php | |
| ; transcribed to 64tass and further commented by J.B. Langston | |
| ; important locations after program is copied to zero page | |
| vmptr = $cb ; video matrix | |
| clock = $13 ; global clock lsb - indicates position within bar | |
| clock_msb = $20 ; global clock msb - indicates bar of song | |
| script = $21 ; poke table |
| // Install the latest Xcode, with the Command Line Tools. | |
| // Install Homebrew | |
| // Install aircrack-ng: | |
| brew install aircrack-ng | |
| // Create the following symlink: | |
| sudo ln -s /System/Library/PrivateFrameworks/Apple80211.framework/Versions/Current/Resources/airport /usr/local/sbin/airport | |
| // Figure out which channel you need to sniff: | |
| sudo airport -s |
| If you'd like to use a .jar file in your project, but it's not available in any Maven repository, | |
| you can get around this by creating your own local repository. This is done as follows: | |
| 1 - To configure the local repository, add the following section to your pom.xml (inside the <project> tag): | |
| <repositories> | |
| <repository> | |
| <id>in-project</id> | |
| <name>In Project Repo</name> | |
| <url>file://${project.basedir}/libs</url> |
| #This is an example configuration file. You must set the values marked <CHANGE-ME> | |
| GHBU_ORG="<CHANGE-ME>" # the GitHub organization whose repos will be backed up | |
| # (if you're backing up a user's repos instead, this should be your GitHub username) | |
| GHBU_UNAME="<CHANGE-ME>" # the username of a GitHub account (to use with the GitHub API) | |
| GHBU_PASSWD="<CHANGE-ME>" # the password for that account | |
| #The following are default values. Change and uncomment if you want to alter the default. | |
| #GHBU_BACKUP_DIR="github-backups" # where to place the backup files |
| """ | |
| Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
| BSD License | |
| """ | |
| import numpy as np | |
| # data I/O | |
| data = open('input.txt', 'r').read() # should be simple plain text file | |
| chars = list(set(data)) | |
| data_size, vocab_size = len(data), len(chars) |