OpenRuna
Sign in

Letta Code

AGENT

Memory-first coding harness designed for long-lived agents that learn from experience. Persistent agents with portable memory across models (Claude, GPT, Gemini, GLM, Kimi). CLI and desktop app for macOS, Windows, and Linux. Apache 2.0 licensed

View on GitHub

Overview

Letta Code: a free, copy-ready AI agent on OpenRuna. Memory-first coding harness designed for long-lived agents that learn from experience. Persistent agents with portable memory across models (Claude, GPT, Gemini, GLM, Kim

What this agent does

Looking for a dependable AI agent? "Letta Code" gives you a tested starting point instead of a blank prompt box. Memory-first coding harness designed for long-lived agents that learn from experience. Persistent agents with portable memory across models (Claude, GPT, Gemini, GLM, Kimi). CLI and desktop app for macOS, Windows, and Linux. Apache 2.0 licensed It is catalogued next to similar resources on OpenRuna, so the rest of the toolkit you need is close by. Open a new conversation and paste it in, wire it into an agent, or keep it in your team's prompt library.

Use cases

  • Fork it as a baseline and layer in your own project context, constraints, and examples.
  • Keep it in a shared library as the canonical version of this AI agent for your organisation.
  • Use "Letta Code" when you need a repeatable AI agent for professional work without rewriting instructions every time.
  • Hand "Letta Code" to a new teammate so their AI agent output matches your team's quality bar from day one.

Example output

Ask the model to apply "Letta Code" to your scenario and it returns a structured answer — clear sections, actionable steps, and assumptions stated upfront — ready to paste into docs, tickets, or code comments. Add one example of your own and the output quality jumps noticeably.

Tips by platform

Claude

In Claude, paste the full AI agent as your first message or add it to Project instructions, then ask Claude to confirm assumptions before it executes. For longer AI agents, iterate inside the artifact panel.

ChatGPT

In ChatGPT, start a fresh chat and paste this AI agent verbatim, then follow up with "apply this to [your context]." Pick a current GPT model for coding or reasoning tasks.

Cursor

In Cursor, lift the key instructions from this AI agent into .cursorrules or a SKILL.md file, then reference it in Agent mode with @ mentions. Keep the title in a comment so teammates can find it on OpenRuna.

Frequently asked questions

What is "Letta Code"?
It is a AI agent listed on OpenRuna — Memory-first coding harness designed for long-lived agents that learn from experience. Persistent agents with portable memory across models (Claude, GPT, Gemini, GLM, Kimi). CLI and desktop app for macOS, Windows, and Linux. Apache 2.0 licensed You can copy and adapt it for ChatGPT, Claude, Cursor, or any other AI assistant.
Is "Letta Code" free to use?
Most OpenRuna resources are open or CC0-licensed. Check the license shown on this page before commercial use; premium collections are clearly marked as such.
How do I get the best results from this AI agent?
Replace any placeholders, add your project context, and ask the model to confirm its assumptions first. Iterate over 2–3 follow-up turns rather than expecting a perfect first response.
Does "Letta Code" work with both Claude and ChatGPT?
Yes — it is model-agnostic text, so it runs on Claude, ChatGPT, Gemini, and Cursor. The tips on this page cover each of those assistants specifically.
Where can I find resources related to "Letta Code"?
Scroll to the Related resources section on this page, or open the matching category hub on OpenRuna to find connected prompts, tools, agents, and datasets in the same topic area.

Related resources