There’s a new breakthrough called Letter Code, an AI agent with memory that actually remembers what you teach it.
Unlike other tools that forget everything the moment you close the chat, Letter Code builds memory, stores knowledge, and learns over time — just like a real assistant.
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Most AI tools today have one huge flaw — they forget.
You start a new session, and it’s like talking to a blank slate.
But Letter Code fixes that.
This AI agent with memory remembers your brand, your projects, your workflows, and your preferences.
It learns your style.
It improves with experience.
And it never forgets.
That’s what makes Letter Code a completely different kind of AI system.
What Is Letter Code?
Letter Code is an open-source framework for building AI agents with memory that grow smarter the more you use them.
Instead of starting fresh every time, these agents remember your data, patterns, and goals.
You can train them once — and they’ll keep building on that foundation forever.
Developers, marketers, and entrepreneurs are using Letter Code to create AI assistants that learn their workflows and make better decisions automatically.
It’s like hiring a team member who actually gets better with every project.
How Letter Code Works
Here’s how this AI agent with memory is built.
When you initialize your agent with /init, Letter Code scans your files, project data, and structure.
It builds “memory blocks” — digital representations of everything it learns.
Then, every new task adds new memory and updates what it already knows.
So instead of starting from scratch, your agent evolves.
You can close the session, come back days later, and it will pick up right where you left off.
That’s what makes Letter Code so powerful for long-term workflows.
Skill Learning: How Letter Code Gets Smarter
The most exciting part of Letter Code is its skill-learning system.
You can teach your AI agent with memory how to perform a repeated task — like writing a blog, setting up dashboards, or building landing pages.
Once it learns, it saves that workflow as a reusable “skill” file.
Then you can share it across projects or even with other agents.
It’s like building your own growing library of AI expertise.
Each skill compounds in value.
Each project gets faster.
That’s how Letter Code helps you build momentum with AI.
Real Example: Automating Workflows With Letter Code
Let’s say you’re automating content and community systems for your business.
You teach Letter Code how to write video scripts, design dashboards, and schedule emails once.
From then on, your AI agent remembers your style, tone, and process.
Every new project builds on that knowledge.
It’s not starting from zero — it’s learning from history.
That’s why Letter Code is becoming the go-to AI agent with memory for creators and developers alike.
If you want to see how creators are using Letter Code and other memory-based AI frameworks to automate their businesses, check out Julian Goldie’s FREE AI Success Lab: https://aisuccesslabjuliangoldie.com/
Inside, you’ll find templates, workflows, and real examples showing how Letter Code helps creators build scalable automation systems.
Why Letter Code Is Different
The biggest difference between Letter Code and other assistants is persistence.
This isn’t just a chatbot — it’s a full AI agent with memory that stores and updates knowledge intelligently.
It doesn’t just memorize data — it manages it.
It can replace outdated info, insert new details, and refine its understanding over time.
That’s closer to how a real human learns.
And because Letter Code is open-source, you can connect it to any model you want — OpenAI, Claude, or Gemini.
No lock-ins.
No limits.
Setting Up Letter Code
You can install Letter Code in minutes.
- Visit letter.com or the GitHub repo.
- Install via npm or pip.
- Run
/initto create your agent. - Define your memory blocks (context, preferences, goals).
- Assign tools like search or API access.
- Start training your agent — it learns as you go.
It’s simple, fast, and free.
Open Source, Transparent, and Searchable
Because Letter Code is open source, you can see exactly what your agent remembers.
You can even use commands like /search to look through old memories, past tasks, and stored files.
Need to find something you taught it six weeks ago?
Just search.
The agent pulls it up instantly.
That’s the difference between a forgetful AI and an AI agent with memory that actually works like your brain.
Why This Matters
For years, AI tools have been stateless.
They start fresh every session, forgetting your history.
Letter Code introduces stateful AI — agents that remember, learn, and evolve.
That’s not just a feature.
It’s a paradigm shift.
You’re no longer prompting a chatbot.
You’re training an assistant.
And the more you use it, the better it gets.
Final Thoughts
Letter Code is the first AI agent with memory that feels genuinely intelligent.
It remembers your instructions, builds skills, and grows with your business.
This is how the next generation of AI will work — not by guessing, but by remembering.
If you want to build your own learning AI assistant, start with Letter Code.
It’s open source, powerful, and available now.
FAQ
What is Letter Code?
It’s an open-source AI framework that lets you create agents with real memory and reusable skills.
Is it free?
Yes — completely open source and model agnostic.
Can it work with other AI models?
Yes, it supports OpenAI, Claude, Gemini, and others.
What makes it different?
Persistent memory — your agent remembers everything you teach it.
Where can I get templates and workflows?
Inside the AI Profit Boardroom and the free AI Success Lab.
