---
title: "AI Coding Agent Memory"
description: "Learn what AI coding agent memory means in AICTX: repo-local work state, handoffs, decisions, failure memory, and execution summaries."
---

# AI Coding Agent Memory

AI coding agent memory is the information a coding agent can use to continue useful work across sessions.

In AICTX, memory is repo-local and operational. It is not a hidden model memory feature or a cloud knowledge base.

## What AICTX treats as memory

AICTX focuses on facts that help future coding-agent sessions:

- active task state;
- decisions and handoffs;
- known failures and resolutions;
- execution summaries;
- relevant repository entry points.

## Why this matters

Coding-agent sessions often start cold. AICTX gives the next session a compact continuity surface that can reduce rediscovery without claiming to make the agent autonomous or always correct.

Related docs:
- [Quickstart](/QUICKSTART.html)
- [Technical overview](/TECHNICAL_OVERVIEW.html)
- [Work State](/WORK_STATE.html)
- [Failure Memory](/FAILURE_MEMORY.html)
- [Official AICTX project identity](/OFFICIAL_PROJECT.html)
