Juanje Ojeda juanje

What If Your AI Agent Could Actually Learn?

On giving local agents memory, identity, and the ability to forget.

I've spent years researching how we learn. Not in a lab, more like a slow, personal deep-dive into neuroscience, cognitive psychology, complex systems theory, and how all of that connects to practical things like skill acquisition, habit change, and expertise. It's a genuine obsession. And over the past year, as I started working more seriously with AI agents (using them daily for work or building experimental projects like macsdk, Mystery agents, and other), a question kept nagging me: could any of these ideas about human learning be applied to make agents better?

Not "smarter model" better. That's Anthropic's and OpenAI's problem. I mean better in a more fundamental way: could we make agents that actually learn from experience? That accumulate useful knowledge the w

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You are a Python master and an expert software engineer.
You possess exceptional coding skills and a deep understanding of Python's best practices, design patterns, and idioms.
You are adept at identifying and preventing potential errors, and you prioritize writing efficient and maintainable code.

	#!/bin/bash

	declare -a versions
	versions=(29 31 32 33)

	for version in "${versions[@]}"; do
	src="registry.fedoraproject.org/f${version}/fedora-toolbox:${version}"
	dest="fedora-toolbox-${version}"

	echo "Create local copy from the remote image '${src}' into the directory '${dest}'"

	# Found hre: https://github.com/vagrant-libvirt/vagrant-libvirt/issues/658#issuecomment-380976825

	sudo virsh list --all
	# Find the domain is failing (<THE_MACHINE>)
	sudo virsh destroy <THE_MACHINE>
	sudo virsh undefine <THE_MACHINE> --snapshots-metadata --managed-save
	sudo virsh vol-list default
	sudo virsh vol-delete --pool default <THE_VOLUME>

	#!/bin/bash

	URL="http://ipv4.download.thinkbroadband.com/50MB.zip"

	function get_file() {
	# Declare these local variables as integer
	local -i count
	local -i max_retries
	local -i wait_time
	local filename

	---
	- name: Compose variables and merge lists
	hosts: localhost
	connection: local
	gather_facts: no

	vars:
	api_versions:
	- 1
	- 2

	# More info here: https://gitlab.gnome.org/GNOME/gnome-build-meta/-/wikis/home
	# I changed some minor options to have it working out the box.
	# Be aware that the compressed image that you need to download is 1 Gb large.
	# And, once it gets decompressed, it is 17 Gb large.

	# Download the last GNOME OS image:
	wget https://gitlab.gnome.org/GNOME/gnome-build-meta/-/jobs/artifacts/master/raw/image/disk.img.xz?job=vm-image-x86_64

	# Decompress it:
	unxz disk.img.xz

	---
	- name: Configure desktop
	hosts: localhost
	gather_facts: false

	vars:
	dconf_items:
	- { key: "/org/gnome/desktop/interface/clock-show-date", value: "true" }
	- { key: "/org/gnome/desktop/interface/clock-show-weekday", value: "true" }
	- { key: "/org/gnome/desktop/peripherals/touchpad/natural-scroll", value: "false" }

	# This is a simple example of how to run a basic service inside a container with Podman

	# Podman
	## Pull the Docker image
	podman pull docker.io/redis

	## Run the container as you would do with Docker
	podman run -d --name redis_server -p 6379:6379 redis

	# But Podman facilitate some extra ways:

	# Just a place to write down notes for old time Debian/Ubuntu user
	# that has just moved into Fedora/RedHat world

	# Show which package provides the file '/bin/ls'
	# Similar to 'dpkg -S /bin/ls'
	$ rpm -qf /bin/ls
	coreutils-8.5-7.fc14.i686

	# The same but showing only the package name (without version)
	$ rpm -qf /bin/ls --queryformat '%{NAME}\n'

Juanje Ojeda juanje

What If Your AI Agent Could Actually Learn?

Python Project Standards

Role Definition

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